In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
This report summarizes scanner evidence for patchy631/ai-engineering-hub, a Jupyter Notebook project with 38,284 GitHub stars. SynthScan examined 204,419 lines of code across 1104 source files, recording 1764 pattern matches distributed across 23 syntactic categories. The legacy adjusted pattern signal is 15.2 (Elevated pattern signal); it is not an authorship estimate.
Use the findings to ask whether maintainers can explain intent, verify dependencies, simplify unnecessary scaffolding, and focus review effort. Risk Payload v1 adds ownership, supply-chain, over-engineering, and review-effort vectors when available. These are prompts for human verification, not probabilities, security findings, or measured maintenance costs.
Use each vector to guide manual verification of the underlying findings.
Can maintainers explain intent, assumptions, and trade-offs? 672 finding(s).
Are imports declared and package/API names verified? 277 finding(s).
Are wrappers, guards, and repeated structures necessary? 936 finding(s).
Which changes need focused human review? 1764 finding(s).
This chart tracks the legacy adjusted pattern score across scan runs. Changes can reflect source changes, scan coverage, or detector/scoring versions; they do not measure AI adoption or prove that a team refactored code. Compare runs only when their scoring versions are compatible. The dashed line tracks the raw pattern-hit count.
Groups findings by configured severity weight. Severity is not a confidence estimate, security rating, or proof that a package is missing. Verify imports against the project's manifests and inspect each finding in its local design context.
This horizontal bar chart shows where configured pattern scores accumulate across directories. Treat the bars as locations to inspect, not as evidence of authorship or code quality. Use the file-level findings to decide whether a directory needs a focused ownership, dependency, complexity, or review check.
The scanner identified 1764 distinct pattern matches across 23 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a detector match to inspect in context. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.
Reading the findings table: The Severity column indicates the configured finding weight (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — legacy comment-context matches receive a ×1.5 score weight. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier under the legacy scoring model.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | agentic_rag_deepseek/app_deep_seek.py | 20 | # =========================== | COMMENT |
| MEDIUM | agentic_rag_deepseek/app_deep_seek.py | 22 | # =========================== | COMMENT |
| MEDIUM | agentic_rag_deepseek/app_deep_seek.py | 92 | # =========================== | COMMENT |
| MEDIUM | agentic_rag_deepseek/app_deep_seek.py | 94 | # =========================== | COMMENT |
| MEDIUM | agentic_rag_deepseek/app_deep_seek.py | 123 | # =========================== | STRING |
| MEDIUM | agentic_rag_deepseek/app_deep_seek.py | 125 | # =========================== | STRING |
| MEDIUM⚡ | agentic_rag_deepseek/app_deep_seek.py | 153 | # =========================== | STRING |
| MEDIUM⚡ | agentic_rag_deepseek/app_deep_seek.py | 155 | # =========================== | STRING |
| MEDIUM | Youtube-trend-analysis/app.py | 32 | # =========================== | COMMENT |
| MEDIUM | Youtube-trend-analysis/app.py | 34 | # =========================== | COMMENT |
| MEDIUM | Youtube-trend-analysis/app.py | 78 | # =========================== | COMMENT |
| MEDIUM | Youtube-trend-analysis/app.py | 80 | # =========================== | COMMENT |
| MEDIUM | Youtube-trend-analysis/app.py | 190 | # =========================== | STRING |
| MEDIUM | Youtube-trend-analysis/app.py | 192 | # =========================== | STRING |
| MEDIUM | Youtube-trend-analysis/app.py | 242 | # =========================== | STRING |
| MEDIUM | Youtube-trend-analysis/app.py | 244 | # =========================== | STRING |
| MEDIUM | agentic_rag/app_llama3.2.py | 20 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app_llama3.2.py | 22 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app_llama3.2.py | 92 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app_llama3.2.py | 94 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app_llama3.2.py | 123 | # =========================== | STRING |
| MEDIUM | agentic_rag/app_llama3.2.py | 125 | # =========================== | STRING |
| MEDIUM⚡ | agentic_rag/app_llama3.2.py | 148 | # =========================== | STRING |
| MEDIUM⚡ | agentic_rag/app_llama3.2.py | 150 | # =========================== | STRING |
| MEDIUM | agentic_rag/app_deep_seek.py | 20 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app_deep_seek.py | 22 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app_deep_seek.py | 92 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app_deep_seek.py | 94 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app_deep_seek.py | 123 | # =========================== | STRING |
| MEDIUM | agentic_rag/app_deep_seek.py | 125 | # =========================== | STRING |
| MEDIUM⚡ | agentic_rag/app_deep_seek.py | 148 | # =========================== | STRING |
| MEDIUM⚡ | agentic_rag/app_deep_seek.py | 150 | # =========================== | STRING |
| MEDIUM | agentic_rag/app.py | 12 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app.py | 14 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app.py | 82 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app.py | 84 | # =========================== | COMMENT |
| MEDIUM | agentic_rag/app.py | 113 | # =========================== | STRING |
| MEDIUM | agentic_rag/app.py | 115 | # =========================== | STRING |
| MEDIUM⚡ | agentic_rag/app.py | 138 | # =========================== | STRING |
| MEDIUM⚡ | agentic_rag/app.py | 140 | # =========================== | STRING |
| MEDIUM⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 82 | # ============================================================================ | COMMENT |
| MEDIUM⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 84 | # ============================================================================ | COMMENT |
| MEDIUM⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 604 | # ============================================================================ | COMMENT |
| MEDIUM⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 606 | # ============================================================================ | COMMENT |
| MEDIUM⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 783 | # ============================================================================ | COMMENT |
| MEDIUM⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 785 | # ============================================================================ | COMMENT |
| MEDIUM⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 968 | # ============================================================================ | COMMENT |
| MEDIUM⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 970 | # ============================================================================ | COMMENT |
| MEDIUM⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 1148 | # ============================================================================ | COMMENT |
| MEDIUM⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 1150 | # ============================================================================ | COMMENT |
| MEDIUM | …/hugging-face-evaluation/scripts/evaluation_manager.py | 848 | # ============================================================================ | COMMENT |
| MEDIUM | …/hugging-face-evaluation/scripts/evaluation_manager.py | 850 | # ============================================================================ | COMMENT |
| MEDIUM | stock-portfolio-analysis-agent/agent/stock_analysis.py | 2 | # =============================================================================== | COMMENT |
| MEDIUM | stock-portfolio-analysis-agent/agent/stock_analysis.py | 4 | # =============================================================================== | COMMENT |
| MEDIUM | stock-portfolio-analysis-agent/agent/stock_analysis.py | 37 | # =============================================================================== | COMMENT |
| MEDIUM | stock-portfolio-analysis-agent/agent/stock_analysis.py | 39 | # =============================================================================== | COMMENT |
| MEDIUM | stock-portfolio-analysis-agent/agent/stock_analysis.py | 159 | # =============================================================================== | COMMENT |
| MEDIUM | stock-portfolio-analysis-agent/agent/stock_analysis.py | 161 | # =============================================================================== | COMMENT |
| MEDIUM | stock-portfolio-analysis-agent/agent/stock_analysis.py | 715 | # =============================================================================== | COMMENT |
| MEDIUM | stock-portfolio-analysis-agent/agent/stock_analysis.py | 717 | # =============================================================================== | COMMENT |
| 154 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | Colivara-deepseek-website-RAG/app.py | 164 | except Exception as e: | CODE |
| LOW | conversational-support-flow/support_flow.py | 194 | except Exception: | CODE |
| LOW | conversational-support-flow/support_flow.py | 251 | except Exception: | CODE |
| LOW | code-model-comparison/code_evaluation_opik.py | 165 | except Exception as e: | CODE |
| LOW | code-model-comparison/code_ingestion.py | 23 | except Exception as e: | CODE |
| LOW | code-model-comparison/model_service.py | 66 | except Exception as e: | STRING |
| LOW | code-model-comparison/model_service.py | 110 | except Exception as e: | CODE |
| MEDIUM | code-model-comparison/model_service.py | 111 | print(f"Error getting model names: {e}") | CODE |
| LOW | code-model-comparison/app.py | 179 | except Exception as e: | STRING |
| LOW | code-model-comparison/app.py | 235 | except Exception as e: | STRING |
| LOW | code-model-comparison/app.py | 254 | except Exception as e: | STRING |
| LOW | code-model-comparison/app.py | 266 | except Exception as e: | STRING |
| LOW | code-model-comparison/app.py | 315 | except Exception as e: | STRING |
| LOW | code-model-comparison/app.py | 505 | except Exception as e: | STRING |
| LOW⚡ | pixeltable-mcp/video-index/tools.py | 112 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/video-index/tools.py | 133 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/video-index/tools.py | 172 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/audio-index/server.py | 51 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/audio-index/server.py | 98 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/audio-index/tools.py | 69 | except Exception as e: | CODE |
| LOW⚡ | pixeltable-mcp/audio-index/tools.py | 160 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/audio-index/tools.py | 187 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/audio-index/tools.py | 231 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/audio-index/tools.py | 260 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/image-index/tools.py | 86 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/image-index/tools.py | 107 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/image-index/tools.py | 145 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/base-sdk/tools.py | 87 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/base-sdk/tools.py | 122 | except Exception as e: | CODE |
| LOW⚡ | pixeltable-mcp/base-sdk/tools.py | 159 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/base-sdk/tools.py | 235 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/base-sdk/tools.py | 272 | except Exception as e: | STRING |
| LOW | pixeltable-mcp/doc-index/tools.py | 69 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/doc-index/tools.py | 90 | except Exception as e: | CODE |
| LOW | pixeltable-mcp/doc-index/tools.py | 127 | except Exception as e: | CODE |
| LOW | multiplatform_deep_researcher/research.py | 12 | except Exception as e: | CODE |
| LOW | multiplatform_deep_researcher/flow.py | 120 | except Exception as e: | STRING |
| LOW | multiplatform_deep_researcher/flow.py | 203 | except Exception as e: | STRING |
| LOW | multiplatform_deep_researcher/app.py | 83 | except Exception as e: | STRING |
| LOW | audio-analysis-toolkit/app.py | 447 | except Exception: | CODE |
| LOW | llama-ocr/app.py | 53 | except Exception as e: | CODE |
| LOW | zep-memory-assistant/app.py | 24 | except Exception as e: | CODE |
| LOW | zep-memory-assistant/app.py | 66 | except Exception: | CODE |
| LOW | zep-memory-assistant/app.py | 100 | except Exception as e: | CODE |
| LOW | zep-memory-assistant/app.py | 185 | except Exception as e: | CODE |
| LOW | document-chat-rag/app.py | 121 | except Exception as e: | CODE |
| LOW | ultimate-ai-assitant-using-mcp/mcp_streamlit_app.py | 48 | except Exception as e: | CODE |
| LOW | ultimate-ai-assitant-using-mcp/mcp_streamlit_app.py | 61 | except Exception as e: | CODE |
| LOW | ultimate-ai-assitant-using-mcp/mcp_streamlit_app.py | 70 | except Exception as e: | CODE |
| LOW | ultimate-ai-assitant-using-mcp/mcp_streamlit_app.py | 165 | except Exception as e: | STRING |
| LOW | ultimate-ai-assitant-using-mcp/mcp_streamlit_app.py | 173 | except Exception as e: | STRING |
| LOW | ultimate-ai-assitant-using-mcp/mcp_streamlit_app.py | 224 | except Exception as e: | STRING |
| LOW | chat-with-code/app.py | 261 | except Exception as e: | STRING |
| LOW | qwen-2.5VL-ocr/app.py | 184 | except Exception as e: | CODE |
| LOW | qwen-2.5VL-ocr/app.py | 210 | except Exception as e: | CODE |
| LOW | agentic_rag_deepseek/src/agentic_rag/main.py | 34 | except Exception as e: | CODE |
| LOW | agentic_rag_deepseek/src/agentic_rag/main.py | 44 | except Exception as e: | CODE |
| LOW | agentic_rag_deepseek/src/agentic_rag/main.py | 57 | except Exception as e: | CODE |
| LOW | gpt-oss-vs-qwen3/code_evaluation_opik.py | 205 | except Exception as e: | CODE |
| LOW | gpt-oss-vs-qwen3/model_service.py | 53 | except Exception as e: | CODE |
| 436 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | README.md | 47 | 2. **Learn the Basics**: Start with [Beginner Projects](#-beginner-projects) like OCR apps and simple RAG implementation | CODE |
| MEDIUM | README.md | 82 | #### Basic RAG | COMMENT |
| MEDIUM | README.md | 127 | #### Advanced RAG | COMMENT |
| MEDIUM | Colivara-deepseek-website-RAG/README.md | 1 | # MultiModal RAG with ColiVara and DeepSeek-Janus-Pro | COMMENT |
| MEDIUM⚡ | Colivara-deepseek-website-RAG/app.py | 133 | # Rest of the code for RAG setup | COMMENT |
| MEDIUM | Colivara-deepseek-website-RAG/app.py | 153 | # Initialize retriever and RAG | COMMENT |
| MEDIUM⚡ | Colivara-deepseek-website-RAG/app.py | 174 | # st.header("""# Multimodal RAG powered by <img src="data:image/png;base64,{}" width="170" style="vertical-align: -3px;" | COMMENT |
| MEDIUM⚡ | Colivara-deepseek-website-RAG/app.py | 178 | # # # Agentic RAG powered by <img src="data:image/png;base64,{}" width="170" style="vertical-align: -3px;"> | COMMENT |
| MEDIUM⚡ | Colivara-deepseek-website-RAG/app.py | 181 | ## Multimodal RAG powered by ColiVara SOTA Retrieval and <img src="data:image/png;base64,{}" width="170" style="vert | COMMENT |
| MEDIUM | conversational-support-flow/support_flow.py | 31 | # queried with real RAG. | COMMENT |
| MEDIUM | conversational-support-flow/support_flow.py | 156 | # --- RETURN_POLICY: 1-agent Crew doing real RAG ----------------------- | COMMENT |
| MEDIUM | conversational-support-flow/support_flow.py | 164 | # knowledge_sources runs real RAG over return_policies.md at kickoff | COMMENT |
| MEDIUM | conversational-support-flow/support_flow.py | 189 | # single-agent sequential crew; one kickoff, RAG failures surface here | COMMENT |
| MEDIUM⚡ | pixeltable-mcp/video-index/tools.py | 105 | # Define the embedding model and create embedding index | COMMENT |
| MEDIUM⚡ | pixeltable-mcp/audio-index/tools.py | 152 | # Define the embedding model and create embedding index | COMMENT |
| MEDIUM | pixeltable-mcp/audio-index/test.py | 47 | # Define the embedding model | COMMENT |
| MEDIUM | pixeltable-mcp/image-index/tools.py | 75 | # Define the embedding model and create embedding index | COMMENT |
| MEDIUM | pixeltable-mcp/image-index/test.py | 37 | # Define the embedding model and create embedding index | COMMENT |
| MEDIUM | pixeltable-mcp/doc-index/tools.py | 58 | # Define the embedding model and create embedding index | COMMENT |
| MEDIUM | pixeltable-mcp/doc-index/test.py | 26 | # Configure embedding model | COMMENT |
| MEDIUM | acp-code/README.md | 1 | # Summary Generator multi-agent workflow with ACP | COMMENT |
| MEDIUM | document-chat-rag/README.md | 5 | # LLama3.3-RAG application | COMMENT |
| MEDIUM⚡ | document-chat-rag/app.py | 87 | # setup llm & embedding model | COMMENT |
| MEDIUM | chat-with-code/app.py | 214 | # Setting up the embedding model | STRING |
| MEDIUM⚡ | chat-with-code/validation.py | 18 | # Step 1: Get response from your RAG pipeline | COMMENT |
| MEDIUM⚡ | agentic_rag_deepseek/app_deep_seek.py | 157 | # Agentic RAG over complex real-world documents powered by <img src="data:image/png;base64,{}" width="220" style="ve | COMMENT |
| MEDIUM⚡ | agentic_rag_deepseek/README.md | 1 | # Enterprise-grade, agentic RAG over complex real-world docs | COMMENT |
| MEDIUM⚡ | agentic_rag_deepseek/README.md | 1 | # Enterprise-grade, agentic RAG over complex real-world docs | COMMENT |
| MEDIUM | o3-vs-claude-code/README.md | 2 | # Compare Claud 3.7 Sonnet and OpenAI o3 using RAG over code (GitHub). | COMMENT |
| MEDIUM | o3-vs-claude-code/app.py | 149 | # setting up the embedding model | COMMENT |
| MEDIUM⚡ | agentic_rag/app_llama3.2.py | 152 | # Agentic RAG powered by <img src="data:image/png;base64,{}" width="120" style="vertical-align: -3px;"> | COMMENT |
| MEDIUM⚡ | agentic_rag/app_deep_seek.py | 152 | # Agentic RAG powered by <img src="data:image/png;base64,{}" width="170" style="vertical-align: -3px;"> | COMMENT |
| MEDIUM | agentic_rag/README.md | 2 | # Agentic RAG using CrewAI | COMMENT |
| MEDIUM⚡ | agentic_rag/app.py | 142 | # Agentic RAG powered by <img src="data:image/png;base64,{}" width="120" style="vertical-align: -3px;"> | COMMENT |
| MEDIUM | rag-voice-agent/README.md | 1 | # Real time RAG Voice Agent, powered by Cartesia | COMMENT |
| MEDIUM | notebook-lm-clone/README.md | 119 | │ ├── 📂 generation/ # RAG pipeline and response generation | CODE |
| MEDIUM | cursor_linkup_mcp/rag.py | 20 | # Initialize LLM and embedding model | COMMENT |
| MEDIUM | fastest-rag-stack/README.md | 1 | # LLama3.3-RAG application | COMMENT |
| MEDIUM | firecrawl-agent/README.md | 1 | # FireCrawl Agentic RAG Workflow | COMMENT |
| MEDIUM | firecrawl-agent/README.md | 107 | ├── workflow.py # Corrective RAG workflow implementation | CODE |
| MEDIUM | rag-sql-router/README.md | 1 | # RAG with SQL Router | COMMENT |
| MEDIUM | rag-sql-router/README.md | 9 | **[Cleanlab Codex](https://help.cleanlab.ai/codex/)**, developed by researchers from MIT, offers a platform to evaluate | CODE |
| MEDIUM | fastest-rag-milvus-groq/README.md | 2 | # Fastest RAG stack with Milvus and Groq | COMMENT |
| MEDIUM⚡ | context-engineering-workflow/README.md | 82 | │ ├── 📁 workflows/ # 🎯 Complete workflow orchestration | CODE |
| MEDIUM⚡ | context-engineering-workflow/README.md | 87 | │ │ ├── 📄 rag_tool.py # RAG search functionality | CODE |
| MEDIUM⚡ | context-engineering-workflow/README.md | 91 | │ ├── 📁 rag/ # 📚 RAG pipeline components | CODE |
| MEDIUM⚡ | context-engineering-workflow/README.md | 92 | │ │ ├── 📄 rag_pipeline.py # Unified RAG orchestration | CODE |
| MEDIUM⚡ | context-engineering-workflow/README.md | 92 | │ │ ├── 📄 rag_pipeline.py # Unified RAG orchestration | CODE |
| MEDIUM | context-engineering-workflow/app.py | 316 | else: # RAG | STRING |
| MEDIUM | context-engineering-workflow/app.py | 448 | else: # RAG or other sources | STRING |
| MEDIUM | …neering-workflow/src/document_processing/doc_parser.py | 194 | # Parse each with schema (and produce RAG chunks) | COMMENT |
| MEDIUM | …neering-workflow/src/document_processing/doc_parser.py | 207 | # collect RAG chunks + structured paper metadata | COMMENT |
| MEDIUM | mcp-video-rag/README.md | 1 | # MCP-powered video-RAG using Ragie | COMMENT |
| MEDIUM | simple-rag-workflow/README.md | 1 | # Simple RAG Workflow with LlamaIndex | COMMENT |
| MEDIUM | simple-rag-workflow/workflow.py | 20 | # Initialize LLM and embedding model | COMMENT |
| MEDIUM | chat-with-audios/README.md | 1 | # RAG over audio files using AssemblyAI | COMMENT |
| MEDIUM | chat-with-audios/app.py | 95 | # RAG over Audio powered by <img src="data:image/png;base64,{}" width="200" style="vertical-align: -15px; padding-ri | COMMENT |
| MEDIUM | open-agent-builder/lib/workflow/executors/tools.ts | 69 | // Check which guardrails are enabled | COMMENT |
| MEDIUM | llama-4-rag/README.md | 1 | # RAG app powered by Meta's Llama 4 | COMMENT |
| MEDIUM | llama-4-rag/app.py | 137 | st.markdown("<h2 style='color: #ffffff;'> RAG using Llama 4 </h2>", unsafe_allow_html=True) | CODE |
| 34 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | Colivara-deepseek-website-RAG/app.py | 0 | # # agentic rag powered by <img src="data:image/png;base64,{}" width="170" style="vertical-align: -3px;"> # | STRING |
| HIGH | agentic_rag/app_deep_seek.py | 0 | # # agentic rag powered by <img src="data:image/png;base64,{}" width="170" style="vertical-align: -3px;"> # | STRING |
| HIGH | deepseek-multimodal-RAG/app.py | 0 | # # agentic rag powered by <img src="data:image/png;base64,{}" width="170" style="vertical-align: -3px;"> # | STRING |
| HIGH | code-model-comparison/model_service.py | 0 | you are an expert code generator. your task is to generate code based on the following repository context: repository co | STRING |
| HIGH | …xm2-vs-sonnet4-5-vs-kimik2-vs-gemini3/model_service.py | 0 | you are an expert code generator. your task is to generate code based on the following repository context: repository co | STRING |
| HIGH | sonnet4-vs-o4/model_service.py | 0 | you are an expert code generator. your task is to generate code based on the following repository context: repository co | STRING |
| HIGH | sonnet4-vs-qwen3-coder/model_service.py | 0 | you are an expert code generator. your task is to generate code based on the following repository context: repository co | STRING |
| HIGH | code-model-comparison/app.py | 0 | <style> .stmarkdown { width: 100%; } pre { white-space: pre-wrap !important; word-wrap: break-word !important; max-width | STRING |
| HIGH | minimaxm2-vs-sonnet4-5-vs-kimik2-vs-gemini3/app.py | 0 | <style> .stmarkdown { width: 100%; } pre { white-space: pre-wrap !important; word-wrap: break-word !important; max-width | STRING |
| HIGH | sonnet4-vs-o4/app.py | 0 | <style> .stmarkdown { width: 100%; } pre { white-space: pre-wrap !important; word-wrap: break-word !important; max-width | STRING |
| HIGH | sonnet4-vs-qwen3-coder/app.py | 0 | <style> .stmarkdown { width: 100%; } pre { white-space: pre-wrap !important; word-wrap: break-word !important; max-width | STRING |
| HIGH | gpt-oss-vs-qwen3/app.py | 0 | <style> .stmarkdown { width: 100%; } pre { white-space: pre-wrap !important; word-wrap: break-word !important; max-width | STRING |
| HIGH | code-model-comparison/app.py | 0 | <div style='display: flex; align-items: center; gap: 10px; margin-top: -10px;'> <span style='font-size: 20px; color: #66 | STRING |
| HIGH | gpt-oss-vs-qwen3/app.py | 0 | <div style='display: flex; align-items: center; gap: 10px; margin-top: -10px;'> <span style='font-size: 20px; color: #66 | STRING |
| HIGH | minimaxm2-vs-sonnet4-5-vs-kimik2-vs-gemini3/app.py | 0 | <div style='display: flex; align-items: center; gap: 10px; margin-top: -10px;'> <span style='font-size: 20px; color: #66 | STRING |
| HIGH | pixeltable-mcp/video-index/server.py | 0 | create a starlette application that can server the provied mcp server with sse. | STRING |
| HIGH | pixeltable-mcp/image-index/server.py | 0 | create a starlette application that can server the provied mcp server with sse. | STRING |
| HIGH | pixeltable-mcp/base-sdk/server.py | 0 | create a starlette application that can server the provied mcp server with sse. | STRING |
| HIGH | pixeltable-mcp/doc-index/server.py | 0 | create a starlette application that can server the provied mcp server with sse. | STRING |
| HIGH | pixeltable-mcp/video-index/tools.py | 0 | get openai api key from environment variables. returns: the openai api key raises: valueerror: if the api key is not fou | STRING |
| HIGH | pixeltable-mcp/audio-index/tools.py | 0 | get openai api key from environment variables. returns: the openai api key raises: valueerror: if the api key is not fou | STRING |
| HIGH | pixeltable-mcp/image-index/tools.py | 0 | get openai api key from environment variables. returns: the openai api key raises: valueerror: if the api key is not fou | STRING |
| HIGH | pixeltable-mcp/video-index/tools.py | 0 | list all document indexes currently available. returns: a string listing the current document indexes. | STRING |
| HIGH | pixeltable-mcp/audio-index/tools.py | 0 | list all document indexes currently available. returns: a string listing the current document indexes. | STRING |
| HIGH | pixeltable-mcp/image-index/tools.py | 0 | list all document indexes currently available. returns: a string listing the current document indexes. | STRING |
| HIGH | pixeltable-mcp/doc-index/tools.py | 0 | list all document indexes currently available. returns: a string listing the current document indexes. | STRING |
| HIGH | document-chat-rag/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | fastest-rag-stack/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | firecrawl-agent/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | llama-4-rag/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | paralegal-agent-crew/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | deepseek-multimodal-RAG/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | trustworthy-rag/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | database-memory-agent/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | corrective-rag/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | llama-4_vs_deepseek-r1/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | qwen3_vs_deepseek-r1/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | modernbert-rag/rag-modernbert.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="400" height="100%" type="application/pdf" style="height:10 | STRING |
| HIGH | agentic_rag_deepseek/app_deep_seek.py | 0 | creates a crew with the given pdf tool (if any) and a web search tool. | STRING |
| HIGH | agentic_rag/app_llama3.2.py | 0 | creates a crew with the given pdf tool (if any) and a web search tool. | STRING |
| HIGH | agentic_rag/app_deep_seek.py | 0 | creates a crew with the given pdf tool (if any) and a web search tool. | STRING |
| HIGH | agentic_rag/app.py | 0 | creates a crew with the given pdf tool (if any) and a web search tool. | STRING |
| HIGH | agentic_rag_deepseek/app_deep_seek.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="100%" height="600px" type="application/pdf" > </iframe> | STRING |
| HIGH | agentic_rag/app_llama3.2.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="100%" height="600px" type="application/pdf" > </iframe> | STRING |
| HIGH | agentic_rag/app_deep_seek.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="100%" height="600px" type="application/pdf" > </iframe> | STRING |
| HIGH | agentic_rag/app.py | 0 | <iframe src="data:application/pdf;base64,{base64_pdf}" width="100%" height="600px" type="application/pdf" > </iframe> | STRING |
| HIGH | gpt-oss-thinking-ui/app.py | 0 | display assistant message with thinking content if present. | STRING |
| HIGH | qwen3-thinking-ui/app.py | 0 | display assistant message with thinking content if present. | STRING |
| HIGH | deepseek-thinking-ui/app.py | 0 | display assistant message with thinking content if present. | STRING |
| HIGH | gpt-oss-thinking-ui/app.py | 0 | handle new user input and generate assistant response. | STRING |
| HIGH | qwen3-thinking-ui/app.py | 0 | handle new user input and generate assistant response. | STRING |
| HIGH | deepseek-thinking-ui/app.py | 0 | handle new user input and generate assistant response. | STRING |
| HIGH | gpt-oss-thinking-ui/app.py | 0 | main function to handle the chat interface and streaming responses. | STRING |
| HIGH | qwen3-thinking-ui/app.py | 0 | main function to handle the chat interface and streaming responses. | STRING |
| HIGH | deepseek-thinking-ui/app.py | 0 | main function to handle the chat interface and streaming responses. | STRING |
| HIGH | notebook-lm-clone/src/podcast/script_generator.py | 0 | using the following document, create a podcast script for two speakers: 'speaker 1' and 'speaker 2'. style guidelines: { | STRING |
| HIGH | ai-podcast-generation/src/podcast/script_generator.py | 0 | using the following document, create a podcast script for two speakers: 'speaker 1' and 'speaker 2'. style guidelines: { | STRING |
| HIGH | …podcast-generation/src/podcast/script_generator_oss.py | 0 | using the following document, create a podcast script for two speakers: 'speaker 1' and 'speaker 2'. style guidelines: { | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | Colivara-deepseek-website-RAG/rag_code.py | 2 | CODE | |
| LOW | Colivara-deepseek-website-RAG/rag_code.py | 3 | CODE | |
| LOW | Colivara-deepseek-website-RAG/rag_code.py | 8 | CODE | |
| LOW | Colivara-deepseek-website-RAG/app.py | 6 | CODE | |
| LOW | Colivara-deepseek-website-RAG/app.py | 7 | CODE | |
| LOW | Colivara-deepseek-website-RAG/app.py | 11 | CODE | |
| LOW | Colivara-deepseek-website-RAG/app.py | 11 | CODE | |
| LOW | Colivara-deepseek-website-RAG/app.py | 15 | CODE | |
| LOW | Colivara-deepseek-website-RAG/app.py | 17 | CODE | |
| LOW | Colivara-deepseek-website-RAG/app.py | 18 | CODE | |
| LOW | Colivara-deepseek-website-RAG/app.py | 19 | CODE | |
| LOW | Colivara-deepseek-website-RAG/app.py | 25 | CODE | |
| LOW | pixeltable-mcp/audio-index/tools.py | 3 | CODE | |
| LOW | audio-analysis-toolkit/server.py | 4 | CODE | |
| LOW | llama-ocr/app.py | 4 | CODE | |
| LOW | document-chat-rag/app.py | 6 | CODE | |
| LOW | document-chat-rag/app.py | 8 | CODE | |
| LOW | document-chat-rag/app.py | 11 | CODE | |
| LOW | document-chat-rag/app.py | 11 | CODE | |
| LOW | document-chat-rag/app.py | 17 | CODE | |
| LOW | ultimate-ai-assitant-using-mcp/server.py | 4 | CODE | |
| LOW | ultimate-ai-assitant-using-mcp/mcp_streamlit_app.py | 11 | CODE | |
| LOW | chat-with-code/app.py | 8 | CODE | |
| LOW | chat-with-code/app.py | 9 | CODE | |
| LOW | qwen-2.5VL-ocr/app.py | 7 | CODE | |
| LOW | qwen-2.5VL-ocr/app.py | 10 | CODE | |
| LOW | agentic_rag_deepseek/src/agentic_rag/crew.py | 4 | CODE | |
| LOW | gpt-oss-vs-qwen3/model_service.py | 2 | CODE | |
| LOW | gpt-oss-vs-qwen3/test_system.py | 8 | CODE | |
| LOW | gpt-oss-vs-qwen3/test_system.py | 9 | CODE | |
| LOW | gpt-oss-vs-qwen3/test_system.py | 82 | CODE | |
| LOW | gpt-oss-vs-qwen3/test_system.py | 89 | CODE | |
| LOW | gpt-oss-vs-qwen3/test_system.py | 96 | CODE | |
| LOW | documentation-writer-flow/server.py | 2 | CODE | |
| LOW | gpt-oss-thinking-ui/app.py | 1 | CODE | |
| LOW | Multi-Agent-deep-researcher-mcp-windows-linux/server.py | 1 | CODE | |
| LOW | …netuning-qwen3/agent-skill/grpo-finetune/agent_demo.py | 15 | CODE | |
| LOW | Youtube-trend-analysis/brightdata_scrapper.py | 3 | CODE | |
| LOW | Youtube-trend-analysis/app.py | 3 | CODE | |
| LOW | Youtube-trend-analysis/app.py | 10 | CODE | |
| LOW | o3-vs-claude-code/app.py | 7 | CODE | |
| LOW | o3-vs-claude-code/app.py | 9 | CODE | |
| LOW | o3-vs-claude-code/app.py | 25 | CODE | |
| LOW | …k_flow/book_writing_flow/src/book_writing_flow/main.py | 2 | CODE | |
| LOW | …c/book_writing_flow/crews/Outline_crew/outline_crew.py | 3 | CODE | |
| LOW | …src/book_writing_flow/crews/Writer_crew/writer_crew.py | 3 | CODE | |
| LOW | agentic_rag/src/agentic_rag/crew.py | 4 | CODE | |
| LOW | LaTeX-OCR-with-Llama/app.py | 4 | CODE | |
| LOW | rag-voice-agent/voice_agent_openai.py | 15 | CODE | |
| LOW | rag-voice-agent/voice_agent_openai.py | 16 | CODE | |
| LOW | rag-voice-agent/voice_agent_openai.py | 24 | CODE | |
| LOW | financial-analyst-deepseek/finance_crew.py | 1 | CODE | |
| LOW | financial-analyst-deepseek/finance_crew.py | 2 | CODE | |
| LOW | financial-analyst-deepseek/finance_crew.py | 3 | CODE | |
| LOW | financial-analyst-deepseek/finance_crew.py | 4 | CODE | |
| LOW | financial-analyst-deepseek/finance_crew.py | 7 | CODE | |
| LOW | notebook-lm-clone/src/embeddings/embedding_generator.py | 2 | CODE | |
| LOW | notebook-lm-clone/src/memory/memory_layer.py | 287 | CODE | |
| LOW | …ebook-lm-clone/src/vector_database/milvus_vector_db.py | 2 | CODE | |
| LOW | …ebook-lm-clone/src/vector_database/milvus_vector_db.py | 4 | CODE | |
| 177 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM⚡ | pixeltable-mcp/video-index/tools.py | 105 | # Define the embedding model and create embedding index | COMMENT |
| MEDIUM⚡ | pixeltable-mcp/audio-index/tools.py | 152 | # Define the embedding model and create embedding index | COMMENT |
| MEDIUM | pixeltable-mcp/audio-index/test.py | 47 | # Define the embedding model | COMMENT |
| MEDIUM | pixeltable-mcp/image-index/tools.py | 75 | # Define the embedding model and create embedding index | COMMENT |
| MEDIUM | pixeltable-mcp/image-index/test.py | 37 | # Define the embedding model and create embedding index | COMMENT |
| MEDIUM⚡ | pixeltable-mcp/base-sdk/tools.py | 152 | # Create the view with the filter | COMMENT |
| MEDIUM⚡ | pixeltable-mcp/base-sdk/tools.py | 155 | # Create a view without a filter | COMMENT |
| MEDIUM | pixeltable-mcp/base-sdk/tools.py | 261 | # Create a function definition | COMMENT |
| MEDIUM | pixeltable-mcp/doc-index/tools.py | 58 | # Define the embedding model and create embedding index | COMMENT |
| MEDIUM | audio-analysis-toolkit/app.py | 595 | # Create a clean layout with topic name and percentage | COMMENT |
| MEDIUM | zep-memory-assistant/app.py | 1 | # Import necessary libraries | COMMENT |
| MEDIUM | zep-memory-assistant/app.py | 108 | # Create the autogen agent with Zep memory | COMMENT |
| MEDIUM | zep-memory-assistant/app.py | 200 | # Create a layout with columns for title and clear button | COMMENT |
| MEDIUM⚡ | document-chat-rag/app.py | 90 | # Creating an index over loaded data | COMMENT |
| MEDIUM⚡ | document-chat-rag/app.py | 94 | # Create the query engine, where we use a cohere reranker on the fetched nodes | COMMENT |
| MEDIUM | qwen-2.5VL-ocr/app.py | 111 | # Create a drawing object | COMMENT |
| MEDIUM | Multi-Agent-deep-researcher-mcp-windows-linux/agents.py | 76 | # Define the research analyst | COMMENT |
| MEDIUM | Multi-Agent-deep-researcher-mcp-windows-linux/agents.py | 86 | # Define the technical writer | COMMENT |
| MEDIUM | Multi-Agent-deep-researcher-mcp-windows-linux/agents.py | 118 | # Create the crew | COMMENT |
| MEDIUM⚡ | kitops-mcp/tools.py | 91 | # Create a ModelKitManager instance and pack and push the ModelKit | COMMENT |
| MEDIUM⚡ | kitops-mcp/tools.py | 124 | # Create a ModelKitManager instance and pull and unpack the ModelKit | COMMENT |
| MEDIUM⚡ | kitops-mcp/tools.py | 144 | # Create a ModelKitManager instance and remove the ModelKit | COMMENT |
| MEDIUM | kitops-mcp/ml-project/train.py | 41 | # Create the model folder if it does not exist. | COMMENT |
| MEDIUM | Youtube-trend-analysis/brightdata_scrapper.py | 18 | # Define the curl command | COMMENT |
| MEDIUM | Youtube-trend-analysis/brightdata_scrapper.py | 59 | # Define the curl command | COMMENT |
| MEDIUM | Youtube-trend-analysis/brightdata_scrapper.py | 101 | # Define the curl command as a list | COMMENT |
| MEDIUM | Youtube-trend-analysis/app.py | 101 | # Create a status container | STRING |
| MEDIUM | Youtube-trend-analysis/app.py | 129 | # Create a container for the carousel | STRING |
| MEDIUM | financial-analyst-deepseek/finance_crew.py | 87 | # Create the crew | COMMENT |
| MEDIUM | notebook-lm-clone/tests/notebook_pipeline.py | 163 | # Create a simple test document | COMMENT |
| MEDIUM | …kills/hugging-face-datasets/scripts/dataset_manager.py | 53 | # Create a basic README.md with metadata if it doesn't exist | COMMENT |
| MEDIUM | …kills/hugging-face-datasets/scripts/dataset_manager.py | 286 | # Create a newline-delimited JSON string | COMMENT |
| MEDIUM⚡ | rag-sql-router/tools.py | 34 | # Create a unique identifier for the project | COMMENT |
| MEDIUM⚡ | rag-sql-router/tools.py | 182 | # Create a query engine for the vector index | COMMENT |
| MEDIUM⚡ | rag-sql-router/tools.py | 190 | # Define the document query function with Codex validation | COMMENT |
| MEDIUM | rag-sql-router/tools.py | 63 | # Create a new project for this session | COMMENT |
| MEDIUM | rag-sql-router/tools.py | 142 | # Create a reader and load the data | COMMENT |
| MEDIUM | rag-sql-router/tools.py | 155 | # Creating a vector index over loaded data | COMMENT |
| MEDIUM | rag-sql-router/app.py | 389 | # Create a temporary directory if it doesn't exist yet | COMMENT |
| MEDIUM⚡ | stock-portfolio-analysis-agent/agent/stock_analysis.py | 288 | # Create a message with a generated ID if response is not available | COMMENT |
| MEDIUM | openai-swarm-ollama/app.py | 131 | # Create a placeholder for the streaming text | COMMENT |
| MEDIUM | mcp-agentic-rag-firecrawl/server.py | 5 | # Create an MCP server | COMMENT |
| MEDIUM⚡ | github-rag/app_local.py | 80 | # Creating an index over loaded data | COMMENT |
| MEDIUM⚡ | github-rag/app_local.py | 85 | # Create the query engine, where we use a cohere reranker on the fetched nodes | COMMENT |
| MEDIUM⚡ | trustworthy-rag/app.py | 94 | # Creating an index over loaded data | COMMENT |
| MEDIUM⚡ | trustworthy-rag/app.py | 98 | # Create the query engine, where we use a cohere reranker on the fetched nodes | COMMENT |
| MEDIUM | stagehand x mcp-use/agent_wrapper.py | 132 | # Create a minimal expandable section | COMMENT |
| MEDIUM⚡ | rag-with-dockling/rag_excel.py | 77 | # Creating an index over loaded data | COMMENT |
| MEDIUM⚡ | rag-with-dockling/rag_excel.py | 82 | # Create the query engine, where we use a cohere reranker on the fetched nodes | COMMENT |
| MEDIUM⚡ | rag-with-dockling/app.py | 77 | # Creating an index over loaded data | COMMENT |
| MEDIUM⚡ | rag-with-dockling/app.py | 82 | # Create the query engine, where we use a cohere reranker on the fetched nodes | COMMENT |
| MEDIUM | …idelines-vs-traditional-prompt/rich_table_formatter.py | 10 | # Create the main table | COMMENT |
| MEDIUM | mcp-agentic-rag/server.py | 5 | # Create an MCP server | COMMENT |
| MEDIUM | …ring/brand_monitoring_flow/src/brand_monitoring_app.py | 35 | # Create a placeholder for status updates | STRING |
| MEDIUM⚡ | modernbert-rag/rag-modernbert.py | 92 | # Creating an index over loaded data | COMMENT |
| MEDIUM⚡ | modernbert-rag/rag-modernbert.py | 96 | # Create the query engine, where we use a cohere reranker on the fetched nodes | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | Colivara-deepseek-website-RAG/app.py | 118 | # Step 2: Get screenshot using FireCrawl | COMMENT |
| LOW⚡ | Colivara-deepseek-website-RAG/app.py | 129 | # Step 3: Create PDF from screenshot | COMMENT |
| LOW⚡ | chat-with-code/validation.py | 18 | # Step 1: Get response from your RAG pipeline | COMMENT |
| LOW⚡ | chat-with-code/validation.py | 22 | # Step 2: Convert to message format | COMMENT |
| LOW⚡ | chat-with-code/validation.py | 49 | # Step 3: Validate with Codex | COMMENT |
| LOW⚡ | chat-with-code/validation.py | 57 | # Step 4: Return Codex-evaluated final response | COMMENT |
| LOW⚡ | chat-with-code/validation.py | 64 | # Step 5: Return both final response and full validation info | COMMENT |
| LOW | …sis-server/resources/amazon-product-analysis/server.ts | 19 | // Step 1: Fetch product data using brightDataTools (same as script.ts) | COMMENT |
| LOW | …sis-server/resources/amazon-product-analysis/server.ts | 58 | // Step 2: Structure data for widgets (same as script.ts) | COMMENT |
| LOW | notebook-lm-clone/src/generation/rag.py | 78 | # Step 1: Retrieve relevant chunks | COMMENT |
| LOW⚡ | notebook-lm-clone/src/generation/rag.py | 93 | # Step 2: Format context with citations | COMMENT |
| LOW⚡ | notebook-lm-clone/src/generation/rag.py | 98 | # Step 3: Create citation-aware prompt | COMMENT |
| LOW⚡ | notebook-lm-clone/src/generation/rag.py | 101 | # Step 4: Generate response | COMMENT |
| LOW⚡ | notebook-lm-clone/src/generation/rag.py | 104 | # Step 5: Create result object | COMMENT |
| LOW | …ng-face-skills/skills/hugging-face-evaluation/SKILL.md | 563 | # Step 1: ALWAYS check for existing PRs first | COMMENT |
| LOW | …ng-face-skills/skills/hugging-face-evaluation/SKILL.md | 567 | # Step 2: If NO open PRs exist, proceed with creating one | COMMENT |
| LOW | …ng-face-skills/skills/hugging-face-evaluation/SKILL.md | 580 | # Step 1: Check for existing PRs | COMMENT |
| LOW | …ng-face-skills/skills/hugging-face-evaluation/SKILL.md | 584 | # Step 2: If no PRs, import from Artificial Analysis | COMMENT |
| LOW⚡ | …lls/hugging-face-evaluation/examples/USAGE_EXAMPLES.md | 177 | # Step 1: Preview extraction | COMMENT |
| LOW⚡ | …lls/hugging-face-evaluation/examples/USAGE_EXAMPLES.md | 182 | # Step 2: Apply if it looks good | COMMENT |
| LOW⚡ | …lls/hugging-face-evaluation/examples/USAGE_EXAMPLES.md | 186 | # Step 3: Validate | COMMENT |
| LOW⚡ | …lls/hugging-face-evaluation/examples/USAGE_EXAMPLES.md | 190 | # Step 4: View results | COMMENT |
| LOW⚡ | …lls/hugging-face-evaluation/examples/USAGE_EXAMPLES.md | 213 | # Step 1: Extract from README | COMMENT |
| LOW⚡ | …lls/hugging-face-evaluation/examples/USAGE_EXAMPLES.md | 217 | # Step 2: Import from AA (will merge with existing) | COMMENT |
| LOW⚡ | …lls/hugging-face-evaluation/examples/USAGE_EXAMPLES.md | 223 | # Step 3: View combined results | COMMENT |
| LOW⚡ | …hugging-face-paper-publisher/examples/example_usage.md | 119 | # Step 1: Create research article | COMMENT |
| LOW⚡ | …hugging-face-paper-publisher/examples/example_usage.md | 126 | # Step 2: Edit the paper (use your favorite editor) | COMMENT |
| LOW⚡ | …hugging-face-paper-publisher/examples/example_usage.md | 129 | # Step 3: Submit to arXiv (external process) | COMMENT |
| LOW⚡ | …hugging-face-paper-publisher/examples/example_usage.md | 132 | # Step 4: Index on Hugging Face | COMMENT |
| LOW⚡ | …hugging-face-paper-publisher/examples/example_usage.md | 135 | # Step 5: Link to your models/datasets | COMMENT |
| LOW | …hugging-face-paper-publisher/examples/example_usage.md | 146 | # Step 6: Generate citation for README | COMMENT |
| LOW | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 57 | # Step 1: Load base model and adapter | COMMENT |
| LOW⚡ | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 82 | # Step 2: Save merged model temporarily | COMMENT |
| LOW⚡ | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 89 | # Step 3: Install llama.cpp for conversion | COMMENT |
| LOW | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 128 | # Step 4: Convert to GGUF (FP16) | COMMENT |
| LOW | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 160 | # Step 5: Quantize to different formats | COMMENT |
| LOW⚡ | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 218 | # Step 6: Upload to Hub | COMMENT |
| LOW⚡ | rag-sql-router/tools.py | 193 | # Step 1: Query the engine | COMMENT |
| LOW⚡ | rag-sql-router/tools.py | 197 | # Step 2: Gather source context | COMMENT |
| LOW⚡ | rag-sql-router/tools.py | 201 | # Step 3: Prepare prompt for Codex validation | COMMENT |
| LOW | rag-sql-router/tools.py | 217 | # Step 4: Validate with Codex (if available) | COMMENT |
| LOW | rag-sql-router/tools.py | 229 | # Step 5: Final response selection | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 123 | # Step 2: Emit run started event to notify client that processing has begun | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 132 | # Step 3: Send initial state snapshot to client | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 157 | # Step 5: Launch the stock analysis workflow asynchronously | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 167 | # Step 6: Event streaming loop - relay events from workflow to client | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 236 | # Step 8: Handle workflow results based on the final message type | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 324 | # Step 9: Emit run finished event to signal completion | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 334 | # Step 10: Handle any unexpected errors during processing | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 337 | # Step 11: Return streaming response to client | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 338 | # Step 11: Return streaming response to client | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/main.py | 111 | # Step 1: Initialize event streaming infrastructure | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/main.py | 146 | # Step 4: Initialize agent state with input data | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/main.py | 221 | # Step 7: Clear tool logs after workflow completion | COMMENT |
| LOW | open-agent-builder/lib/arcade/openai-tools.ts | 85 | // Step 1: Check/request authorization | COMMENT |
| LOW | open-agent-builder/lib/arcade/openai-tools.ts | 103 | // Step 2: Execute the tool | COMMENT |
| LOW | open-agent-builder/lib/workflow/executors/arcade.ts | 52 | // Step 1: Authorize the tool | COMMENT |
| LOW | open-agent-builder/lib/workflow/executors/arcade.ts | 85 | // Step 2: Execute the tool | COMMENT |
| LOW⚡ | video-rag-gemini/USAGE.md | 51 | ### Step 1: Enter API Key | COMMENT |
| LOW⚡ | video-rag-gemini/USAGE.md | 55 | ### Step 2: Upload Video | COMMENT |
| 27 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | Colivara-deepseek-website-RAG/app.py | 74 | def create_pdf_from_screenshot(screenshot_url): | CODE |
| LOW | code-model-comparison/app.py | 329 | def validate_evaluation_result(result, model_name): | STRING |
| LOW | zep-memory-assistant/agent.py | 40 | def _zep_persist_assistant_messages( | CODE |
| LOW | zep-memory-assistant/agent.py | 63 | def _zep_fetch_and_update_system_message(self): | CODE |
| LOW | zep-memory-assistant/agent.py | 76 | def _zep_persist_user_message(self, user_content: str, user_name: str = "User"): | CODE |
| LOW | agentic_rag_deepseek/src/agentic_rag/crew.py | 40 | def response_synthesizer_agent(self) -> Agent: | CODE |
| LOW | gpt-oss-vs-qwen3/app.py | 325 | def validate_evaluation_result(result, model_name): | STRING |
| LOW | documentation-writer-flow/crew.py | 57 | def initialize_documentation_crew(): | CODE |
| LOW | gpt-oss-thinking-ui/app.py | 40 | def display_assistant_message(content, thinking_content=None): | CODE |
| LOW | qwen3-thinking-ui/app.py | 9 | def format_reasoning_response(thinking_content): | CODE |
| LOW | qwen3-thinking-ui/app.py | 26 | def display_assistant_message(content): | CODE |
| LOW | deepseek-thinking-ui/app.py | 9 | def format_reasoning_response(thinking_content): | CODE |
| LOW | deepseek-thinking-ui/app.py | 26 | def display_assistant_message(content): | CODE |
| LOW | minimaxm2-vs-sonnet4-5-vs-kimik2-vs-gemini3/app.py | 329 | def validate_evaluation_result(result, model_name): | STRING |
| LOW⚡ | Youtube-trend-analysis/brightdata_scrapper.py | 42 | def trigger_scraping_channels(api_key, channel_urls, num_of_posts, start_date, end_date, order_by, country): | CODE |
| LOW | agentic_rag/src/agentic_rag/crew.py | 40 | def response_synthesizer_agent(self) -> Agent: | CODE |
| LOW | web-browsing-agent/flow.py | 94 | def handle_browser_automation(self, inputs: Dict[str, Any]) -> Dict[str, Any]: | CODE |
| LOW | notebook-lm-clone/app.py | 16 | def create_interactive_citations(response_text: str, sources_used: List[Dict[str, Any]]) -> str: | CODE |
| LOW | notebook-lm-clone/app.py | 600 | def render_source_upload_dialog(): | STRING |
| LOW⚡ | notebook-lm-clone/src/embeddings/embedding_generator.py | 95 | def batch_generate_embeddings( | CODE |
| LOW | notebook-lm-clone/src/web_scraping/web_scraper.py | 70 | def _process_firecrawl_result(self, result: Dict[str, Any], url: str) -> WebPageData: | CODE |
| LOW | notebook-lm-clone/src/web_scraping/web_scraper.py | 105 | def _create_chunks_from_web_content( | CODE |
| LOW | notebook-lm-clone/src/podcast/script_generator.py | 45 | def generate_script_from_document( | CODE |
| LOW | notebook-lm-clone/src/podcast/script_generator.py | 76 | def generate_script_from_text( | CODE |
| LOW | notebook-lm-clone/src/podcast/script_generator.py | 102 | def generate_script_from_website( | CODE |
| LOW | notebook-lm-clone/src/podcast/script_generator.py | 132 | def _generate_conversation_script( | CODE |
| LOW | notebook-lm-clone/src/podcast/script_generator.py | 220 | def _validate_and_clean_script(self, script: List[Dict[str, str]]) -> List[Dict[str, str]]: | CODE |
| LOW | …ook-lm-clone/src/audio_processing/audio_transcriber.py | 91 | def _process_transcript_to_chunks( | CODE |
| LOW | …ook-lm-clone/src/audio_processing/audio_transcriber.py | 127 | def _create_chunks_with_speakers( | CODE |
| LOW | …ook-lm-clone/src/audio_processing/audio_transcriber.py | 205 | # def _create_chunks_without_speakers( | COMMENT |
| LOW | notebook-lm-clone/src/generation/rag.py | 124 | def _format_context_with_citations( | CODE |
| LOW | …face-evaluation/examples/artificial_analysis_to_hub.py | 53 | def get_model_evaluations_data(creator_slug, model_name): | CODE |
| LOW | …face-evaluation/examples/artificial_analysis_to_hub.py | 65 | def aa_evaluations_to_model_index( | CODE |
| LOW⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 87 | def extract_tables_from_markdown(markdown_content: str) -> List[str]: | CODE |
| LOW⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 609 | def extract_tables_with_parser(markdown_content: str) -> List[Dict[str, Any]]: | CODE |
| LOW⚡ | …/hugging-face-evaluation/scripts/evaluation_manager.py | 973 | def update_model_card_with_evaluations( | CODE |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 319 | def extract_metrics_from_table( | CODE |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 489 | def extract_evaluations_from_readme( | CODE |
| LOW | …lls/hugging-face-evaluation/scripts/test_extraction.py | 96 | def test_evaluation_detection(parsed_tables): | CODE |
| LOW | …lls/hugging-face-evaluation/scripts/inspect_eval_uv.py | 24 | def _inspect_evals_tasks_root() -> Optional[Path]: | CODE |
| LOW | …-face-datasets/examples/diverse_training_examples.json | 123 | "content": "I've identified several performance issues in your `process_user_data` function. Here's my analysis | CODE |
| LOW | …kills/hugging-face-datasets/scripts/dataset_manager.py | 198 | def _validate_classification_format(row: Dict[str, Any], row_index: int) -> bool: | CODE |
| LOW | …/skills/hugging-face-jobs/scripts/cot-self-instruct.py | 152 | def extract_instruction_output(text: str) -> Optional[str]: | CODE |
| LOW | …/skills/hugging-face-jobs/scripts/cot-self-instruct.py | 267 | def answer_consistency_filter( | CODE |
| LOW | …face-skills/apps/hackers-leaderboard/collect_points.py | 215 | def _fetch_member_discussions( | CODE |
| LOW | …face-skills/apps/hackers-leaderboard/collect_points.py | 260 | def _fetch_discussion_comments( | CODE |
| LOW | rag-sql-router/tools.py | 54 | def get_or_create_codex_project(session_id): | CODE |
| LOW | rag-sql-router/app.py | 159 | def create_state_distribution_chart(df): | CODE |
| LOW | rag-sql-router/app.py | 179 | def create_population_scatter(df): | CODE |
| LOW | colbert-rag/colbert.py | 35 | def test_compute_relevance_scores(): | CODE |
| LOW | mcp-voice-agent/agent.py | 75 | def schema_to_google_docstring(description: str, schema: dict) -> str: | CODE |
| LOW⚡ | context-engineering-workflow/app.py | 144 | def create_research_assistant() -> Optional[StreamlitResearchAssistant]: | STRING |
| LOW⚡ | context-engineering-workflow/app.py | 154 | def process_uploaded_document(uploaded_file, assistant: StreamlitResearchAssistant) -> bool: | STRING |
| LOW | context-engineering-workflow/app.py | 236 | def display_citations_dropdown(response: Dict[str, Any], key: str): | STRING |
| LOW | context-engineering-workflow/app.py | 554 | def display_sidebar_document_processing(): | STRING |
| LOW | context-engineering-workflow/app.py | 609 | def display_main_chat_interface(): | STRING |
| LOW | context-engineering-workflow/app.py | 669 | def display_initialization_message(): | STRING |
| LOW | context-engineering-workflow/src/workflows/tasks.py | 20 | def create_memory_retrieval_task(self, query: str, agent) -> Task: | CODE |
| LOW | context-engineering-workflow/src/workflows/tasks.py | 44 | def create_context_evaluation_task(self, query: str, context_sources: Dict[str, Any], agent, output_pydantic=None) - | CODE |
| LOW | context-engineering-workflow/src/workflows/flow.py | 116 | def gather_context_from_all_sources(self, flow_state: Dict[str, Any]) -> Dict[str, Any]: | CODE |
| 45 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | acp-code/smolagents_acp_server.py | 14 | # api_key="your-api-key", | COMMENT |
| HIGH | ultimate-ai-assitant-using-mcp/mcp_streamlit_app.py | 94 | "OPENAI_API_KEY": "your-api-key", | STRING |
| HIGH | ultimate-ai-assitant-using-mcp/README.md | 58 | "OPENAI_API_KEY": "your-api-key", | CODE |
| HIGH⚡ | agentic_rag_deepseek/README.md | 10 | - [GroundX API keys](https://docs.eyelevel.ai/documentation/fundamentals/quickstart#step-1-getting-your-api-key) | CODE |
| HIGH | Youtube-trend-analysis/README.md | 18 | BRIGHT_DATA_API_KEY=your_api_key | CODE |
| HIGH | …ng-face-skills/skills/hugging-face-evaluation/SKILL.md | 183 | AA_API_KEY="your-api-key" python scripts/evaluation_manager.py import-aa \ | CODE |
| HIGH | …ng-face-skills/skills/hugging-face-evaluation/SKILL.md | 192 | echo "AA_API_KEY=your-api-key" >> .env | CODE |
| HIGH | …face-evaluation/examples/artificial_analysis_to_hub.py | 19 | AA_API_KEY="<your-api-key>" HF_TOKEN="<your-huggingface-token>" \ | STRING |
| HIGH | Website-to-API-with-FireCrawl/README.md | 17 | FIRECRAWL_API_KEY=your_api_key | CODE |
| HIGH | chat-with-audios/README.md | 21 | ASSEMBLYAI_API_KEY=<YOUR_API_KEY> | CODE |
| HIGH | chat-with-audios/README.md | 21 | ASSEMBLYAI_API_KEY=<YOUR_API_KEY> | CODE |
| HIGH | …/(home)/sections/workflow-builder/PasteConfigModal.tsx | 204 | "CONTEXT7_API_KEY": "your-api-key" | CODE |
| HIGH | …/(home)/sections/workflow-builder/PasteConfigModal.tsx | 217 | "FIRECRAWL_API_KEY": "your-api-key" | CODE |
| HIGH | open-agent-builder/lib/api/auth.ts | 40 | error: 'Authentication required. Please sign in or provide an API key with format: "Bearer YOUR_API_KEY"' | CODE |
| HIGH | open-agent-builder/lib/api/auth.ts | 49 | error: 'Invalid Authorization header format. Expected: "Bearer YOUR_API_KEY"' | CODE |
| HIGH⚡ | zep-observations/check.py | 7 | export ZEP_API_KEY="your-api-key" | STRING |
| HIGH⚡ | zep-observations/check.py | 18 | print("Run: export ZEP_API_KEY='your-api-key'") | CODE |
| HIGH | zep-observations/README.md | 31 | export ZEP_API_KEY="your-api-key" | CODE |
| HIGH | zep-observations/seed.py | 17 | export ZEP_API_KEY="your-api-key" | STRING |
| HIGH | zep-observations/seed.py | 30 | print("Run: export ZEP_API_KEY='your-api-key'") | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | pixeltable-mcp/video-index/tools.py | 57 | # Check if the table already exists | COMMENT |
| LOW | pixeltable-mcp/audio-index/tools.py | 110 | # Check if the table already exists | COMMENT |
| LOW | pixeltable-mcp/image-index/tools.py | 51 | # Check if the table already exists | COMMENT |
| LOW | pixeltable-mcp/image-index/test.py | 18 | # Check if table exists, create it if not | COMMENT |
| LOW | pixeltable-mcp/image-index/test.py | 72 | # Print results | COMMENT |
| LOW | pixeltable-mcp/doc-index/tools.py | 30 | # Check if the table already exists | COMMENT |
| LOW | pixeltable-mcp/doc-index/test.py | 84 | # Print results | COMMENT |
| LOW | multiplatform_deep_researcher/flow.py | 134 | # Check if no URLs are provided | COMMENT |
| LOW | zep-memory-assistant/app.py | 31 | # Check if we have a valid Zep client | COMMENT |
| LOW | ultimate-ai-assitant-using-mcp/mcp_streamlit_app.py | 207 | # Check if agent is available | STRING |
| LOW | ultimate-ai-assitant-using-mcp/mcp_streamlit_app.py | 221 | # Display result | STRING |
| LOW | chat-with-code/app.py | 301 | # Check if query engine and project are available | STRING |
| LOW | qwen-2.5VL-ocr/app.py | 203 | # Display results | COMMENT |
| LOW | …ntic_rag_deepseek/src/agentic_rag/tools/custom_tool.py | 60 | # Check if processing is complete | COMMENT |
| LOW | documentation-writer-flow/documentation_flow.py | 27 | # Check if directory exists | COMMENT |
| LOW | kitops-mcp/util.py | 3 | # Check if modelkit_tag is valid | COMMENT |
| LOW | kitops-mcp/tools.py | 21 | # Check if Kitfile already exists for the return message | COMMENT |
| LOW⚡ | kitops-mcp/tools.py | 83 | # Check if Kitfile exists before creating instance | COMMENT |
| LOW⚡ | kitops-mcp/tools.py | 109 | # Check if working directory and modelkit_tag are valid | COMMENT |
| LOW | kitops-mcp/ml-project/train.py | 11 | # Check if the required CSV file exists before proceeding. | COMMENT |
| LOW⚡ | Youtube-trend-analysis/brightdata_scrapper.py | 29 | # Check if the command was successful | COMMENT |
| LOW | Youtube-trend-analysis/brightdata_scrapper.py | 71 | # Check if the command was successful | COMMENT |
| LOW | Youtube-trend-analysis/app.py | 148 | # Check if we still have videos to display | STRING |
| LOW | sdv-mcp/tools.py | 11 | # Check if the data folder exists | COMMENT |
| LOW | sdv-mcp/tools.py | 15 | # Check if metadata file exists | COMMENT |
| LOW⚡ | sdv-mcp/tools.py | 50 | # Check if real and synthetic data folders exist | COMMENT |
| LOW⚡ | sdv-mcp/tools.py | 58 | # Check if metadata file exists | COMMENT |
| LOW | sdv-mcp/tools.py | 117 | # Check if real and synthetic data folders exist | COMMENT |
| LOW | sdv-mcp/tools.py | 125 | # Check if metadata file exists | COMMENT |
| LOW | …g-face-tool-builder/references/find_models_by_paper.sh | 93 | # Check if the input looks like an arXiv ID (format: YYYY.NNNNN or YYYY.NNNNNNN) | COMMENT |
| LOW | …g-face-tool-builder/references/find_models_by_paper.sh | 133 | # Check if we got a valid response | COMMENT |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 128 | # Check if first column looks like benchmark names | COMMENT |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 138 | # Check if there are numeric values in the table | COMMENT |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 281 | # Check if first column header suggests model names | COMMENT |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 286 | # Check if remaining headers look like benchmarks | COMMENT |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 301 | # Check if data rows have numeric values in most columns (except first) | COMMENT |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 346 | # Check if first column header is empty/generic (indicates benchmarks in rows) | COMMENT |
| LOW | …/skills/hugging-face-jobs/scripts/cot-self-instruct.py | 309 | # Check if majority answer matches original and meets threshold | COMMENT |
| LOW | …lls/skills/hugging-face-jobs/scripts/finepdfs-stats.py | 423 | # Print results | STRING |
| LOW | …/hugging-face-paper-publisher/scripts/paper_manager.py | 55 | # Check if paper exists | COMMENT |
| LOW | …/hugging-face-paper-publisher/scripts/paper_manager.py | 197 | # Check if YAML frontmatter exists | COMMENT |
| LOW | firecrawl-agent/app.py | 107 | # Check if FIRECRAWL_API_KEY is available | COMMENT |
| LOW⚡ | rag-sql-router/tools.py | 27 | # Check if CODEX_API_KEY is available | COMMENT |
| LOW | rag-sql-router/app.py | 405 | # Write the file | COMMENT |
| LOW | rag-sql-router/app.py | 724 | # Check if this is already a formatted response | STRING |
| LOW | rag-sql-router/workflow.py | 148 | # Check if output is a dictionary (response, trust_score) for document tool | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/stock_analysis.py | 354 | # Check if this is the final results or initial parameters | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/stock_analysis.py | 359 | # Check if required keys exist in arguments | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/stock_analysis.py | 430 | # Check if stock data is empty | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/stock_analysis.py | 475 | # Check if this is the final results or initial parameters | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/stock_analysis.py | 966 | # Check if this is the final results or initial parameters | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 237 | # Check if the last message is from the assistant (AI agent) | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/main.py | 178 | # Check if this is a tool log completion event (indicates allocation stage done) | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/main.py | 187 | # Check if this is the actual chart tool call being sent | COMMENT |
| LOW | multilingual-meeting-notes-generator/app.py | 54 | # Check if API keys are provided | COMMENT |
| LOW | multilingual-meeting-notes-generator/app.py | 199 | # Display results if available | STRING |
| LOW | …ingual-meeting-notes-generator/src/ui/ui_components.py | 47 | # Check if this section has bullet points | COMMENT |
| LOW⚡ | mcp-video-rag/main.py | 39 | # Check if there are more documents | COMMENT |
| LOW | mcp-video-rag/main.py | 57 | # Read file content | COMMENT |
| LOW | groundX-doc-pipeline/run_evaluation_cli.py | 226 | # Check if user question contains all required words | COMMENT |
| 9 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | Colivara-deepseek-website-RAG/app.py | 118 | # Step 2: Get screenshot using FireCrawl | COMMENT |
| LOW⚡ | Colivara-deepseek-website-RAG/app.py | 129 | # Step 3: Create PDF from screenshot | COMMENT |
| LOW⚡ | chat-with-code/validation.py | 18 | # Step 1: Get response from your RAG pipeline | COMMENT |
| LOW⚡ | chat-with-code/validation.py | 22 | # Step 2: Convert to message format | COMMENT |
| LOW⚡ | chat-with-code/validation.py | 49 | # Step 3: Validate with Codex | COMMENT |
| LOW⚡ | chat-with-code/validation.py | 57 | # Step 4: Return Codex-evaluated final response | COMMENT |
| LOW⚡ | chat-with-code/validation.py | 64 | # Step 5: Return both final response and full validation info | COMMENT |
| LOW | …sis-server/resources/amazon-product-analysis/server.ts | 19 | // Step 1: Fetch product data using brightDataTools (same as script.ts) | COMMENT |
| LOW | …sis-server/resources/amazon-product-analysis/server.ts | 58 | // Step 2: Structure data for widgets (same as script.ts) | COMMENT |
| LOW | notebook-lm-clone/src/generation/rag.py | 78 | # Step 1: Retrieve relevant chunks | COMMENT |
| LOW⚡ | notebook-lm-clone/src/generation/rag.py | 93 | # Step 2: Format context with citations | COMMENT |
| LOW⚡ | notebook-lm-clone/src/generation/rag.py | 98 | # Step 3: Create citation-aware prompt | COMMENT |
| LOW⚡ | notebook-lm-clone/src/generation/rag.py | 101 | # Step 4: Generate response | COMMENT |
| LOW⚡ | notebook-lm-clone/src/generation/rag.py | 104 | # Step 5: Create result object | COMMENT |
| LOW | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 57 | # Step 1: Load base model and adapter | COMMENT |
| LOW⚡ | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 82 | # Step 2: Save merged model temporarily | COMMENT |
| LOW⚡ | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 89 | # Step 3: Install llama.cpp for conversion | COMMENT |
| LOW | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 128 | # Step 4: Convert to GGUF (FP16) | COMMENT |
| LOW | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 160 | # Step 5: Quantize to different formats | COMMENT |
| LOW⚡ | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 218 | # Step 6: Upload to Hub | COMMENT |
| LOW⚡ | rag-sql-router/tools.py | 193 | # Step 1: Query the engine | COMMENT |
| LOW⚡ | rag-sql-router/tools.py | 197 | # Step 2: Gather source context | COMMENT |
| LOW⚡ | rag-sql-router/tools.py | 201 | # Step 3: Prepare prompt for Codex validation | COMMENT |
| LOW | rag-sql-router/tools.py | 217 | # Step 4: Validate with Codex (if available) | COMMENT |
| LOW | rag-sql-router/tools.py | 229 | # Step 5: Final response selection | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 123 | # Step 2: Emit run started event to notify client that processing has begun | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 132 | # Step 3: Send initial state snapshot to client | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 157 | # Step 5: Launch the stock analysis workflow asynchronously | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 167 | # Step 6: Event streaming loop - relay events from workflow to client | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 236 | # Step 8: Handle workflow results based on the final message type | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 324 | # Step 9: Emit run finished event to signal completion | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 334 | # Step 10: Handle any unexpected errors during processing | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 337 | # Step 11: Return streaming response to client | COMMENT |
| LOW⚡ | stock-portfolio-analysis-agent/agent/main.py | 338 | # Step 11: Return streaming response to client | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/main.py | 111 | # Step 1: Initialize event streaming infrastructure | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/main.py | 146 | # Step 4: Initialize agent state with input data | COMMENT |
| LOW | stock-portfolio-analysis-agent/agent/main.py | 221 | # Step 7: Clear tool logs after workflow completion | COMMENT |
| LOW | open-agent-builder/lib/arcade/openai-tools.ts | 85 | // Step 1: Check/request authorization | COMMENT |
| LOW | open-agent-builder/lib/arcade/openai-tools.ts | 103 | // Step 2: Execute the tool | COMMENT |
| LOW | open-agent-builder/lib/workflow/executors/arcade.ts | 52 | // Step 1: Authorize the tool | COMMENT |
| LOW | open-agent-builder/lib/workflow/executors/arcade.ts | 85 | // Step 2: Execute the tool | COMMENT |
| LOW⚡ | paralegal-agent-crew/app.py | 110 | # Step 1: Load and split document | STRING |
| LOW⚡ | paralegal-agent-crew/app.py | 120 | # Step 2: Create embeddings | STRING |
| LOW⚡ | paralegal-agent-crew/app.py | 129 | # Step 3: Setup vector database | STRING |
| LOW⚡ | paralegal-agent-crew/app.py | 148 | # Step 4: Setup retrieval | STRING |
| LOW⚡ | paralegal-agent-crew/app.py | 157 | # Step 5: Setup RAG system | STRING |
| LOW⚡ | paralegal-agent-crew/app.py | 167 | # Step 6: Setup workflow | STRING |
| LOW | paralegal-agent-crew/examples/test.py | 60 | # Step 1: Load and process document | COMMENT |
| LOW | paralegal-agent-crew/examples/test.py | 86 | # Step 2: Create embeddings | COMMENT |
| LOW | paralegal-agent-crew/examples/test.py | 98 | # Step 3: Setup vector database | COMMENT |
| LOW⚡ | paralegal-agent-crew/examples/test.py | 116 | # Step 4: Setup retrieval system | COMMENT |
| LOW⚡ | paralegal-agent-crew/examples/test.py | 125 | # Step 5: Setup RAG system | COMMENT |
| LOW | paralegal-agent-crew/examples/test.py | 136 | # Step 6: Setup workflow | COMMENT |
| LOW⚡ | ai-podcast-generator/app.py | 104 | # Step 1: Scraping | STRING |
| LOW⚡ | ai-podcast-generator/app.py | 115 | # Step 2: Script Generation | STRING |
| LOW⚡ | ai-podcast-generator/app.py | 126 | # Step 3: Audio Generation | STRING |
| LOW⚡ | ai-podcast-generator/app.py | 166 | # Step 4: Merge Audio | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | qwen-2.5VL-ocr/app.py | 220 | except: | CODE |
| HIGH | notebook-lm-clone/src/memory/memory_layer.py | 68 | except: | CODE |
| HIGH | …/hugging-face-evaluation/scripts/evaluation_manager.py | 389 | except (ValueError, IndexError): | CODE |
| HIGH | …/hugging-face-evaluation/scripts/evaluation_manager.py | 677 | except (ValueError, AttributeError): | CODE |
| HIGH | …ls/hugging-face-model-trainer/scripts/estimate_cost.py | 84 | except: | CODE |
| HIGH | fastest-rag-stack/app.py | 151 | except: | CODE |
| HIGH | stock-portfolio-analysis-agent/agent/stock_analysis.py | 481 | except (json.JSONDecodeError, KeyError, IndexError): | CODE |
| HIGH | stock-portfolio-analysis-agent/agent/stock_analysis.py | 972 | except (json.JSONDecodeError, KeyError, IndexError): | CODE |
| HIGH | stock-portfolio-analysis-agent/agent/stock_analysis.py | 676 | except Exception: | CODE |
| HIGH | …al-meeting-notes-generator/src/services/transcriber.py | 149 | except (AttributeError, KeyError, TypeError): | CODE |
| HIGH | chat-with-audios/app.py | 132 | except: | CODE |
| HIGH | video-rag-gemini/app.py | 91 | except: | CODE |
| HIGH | video-rag-gemini/app.py | 194 | except: | CODE |
| HIGH | paralegal-agent-crew/app.py | 200 | except: | CODE |
| HIGH | multimodal-rag-assemblyai/main.py | 562 | except: | CODE |
| HIGH | …idelines-vs-traditional-prompt/parlant_client_utils.py | 93 | except Exception: | CODE |
| HIGH | …idelines-vs-traditional-prompt/parlant_client_utils.py | 157 | except Exception: | CODE |
| HIGH | …otech-agentic-analyst/mistral_ocr_pipeline/pipeline.py | 105 | except Exception: | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | code-model-comparison/model_service.py | 16 | CODE | |
| LOW | pixeltable-mcp/base-sdk/tools.py | 164 | CODE | |
| LOW | audio-analysis-toolkit/app.py | 530 | CODE | |
| LOW | zep-memory-assistant/app.py | 190 | CODE | |
| LOW | gpt-oss-vs-qwen3/app.py | 171 | CODE | |
| LOW | …tuning-qwen3/agent-skill/grpo-finetune/run_pipeline.py | 73 | CODE | |
| LOW | …xm2-vs-sonnet4-5-vs-kimik2-vs-gemini3/model_service.py | 16 | CODE | |
| LOW | Youtube-trend-analysis/app.py | 100 | CODE | |
| LOW | notebook-lm-clone/app.py | 16 | CODE | |
| LOW | notebook-lm-clone/app.py | 322 | CODE | |
| LOW | notebook-lm-clone/app.py | 391 | CODE | |
| LOW | notebook-lm-clone/app.py | 447 | CODE | |
| LOW | notebook-lm-clone/app.py | 488 | CODE | |
| LOW | notebook-lm-clone/app.py | 531 | CODE | |
| LOW | notebook-lm-clone/app.py | 572 | CODE | |
| LOW | notebook-lm-clone/app.py | 658 | CODE | |
| LOW | notebook-lm-clone/app.py | 749 | CODE | |
| LOW | notebook-lm-clone/app.py | 30 | CODE | |
| LOW | notebook-lm-clone/tests/notebook_pipeline.py | 143 | CODE | |
| LOW | …ebook-lm-clone/src/vector_database/milvus_vector_db.py | 287 | CODE | |
| LOW | notebook-lm-clone/src/web_scraping/web_scraper.py | 105 | CODE | |
| LOW | notebook-lm-clone/src/podcast/script_generator.py | 220 | CODE | |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 319 | CODE | |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 489 | CODE | |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 609 | CODE | |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 656 | CODE | |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 720 | CODE | |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 973 | CODE | |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 1052 | CODE | |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 1100 | CODE | |
| LOW | …/hugging-face-evaluation/scripts/evaluation_manager.py | 1153 | CODE | |
| LOW | …s/hugging-face-evaluation/scripts/run_vllm_eval_job.py | 54 | CODE | |
| LOW | …ls/skills/hugging-face-datasets/scripts/sql_manager.py | 619 | CODE | |
| LOW | …ls/skills/hugging-face-datasets/scripts/sql_manager.py | 811 | CODE | |
| LOW | …ls/skills/hugging-face-datasets/scripts/sql_manager.py | 125 | CODE | |
| LOW | …kills/hugging-face-datasets/scripts/dataset_manager.py | 110 | CODE | |
| LOW | …kills/hugging-face-datasets/scripts/dataset_manager.py | 153 | CODE | |
| LOW | …/skills/hugging-face-jobs/scripts/cot-self-instruct.py | 441 | CODE | |
| LOW | …/hugging-face-paper-publisher/scripts/paper_manager.py | 378 | CODE | |
| LOW | …ugging-face-model-trainer/scripts/dataset_inspector.py | 127 | CODE | |
| LOW | …ugging-face-model-trainer/scripts/dataset_inspector.py | 185 | CODE | |
| LOW | …ng-face-skills/apps/evals-leaderboard/collect_evals.py | 265 | CODE | |
| LOW | firecrawl-agent/workflow.py | 190 | CODE | |
| LOW | rag-sql-router/app.py | 438 | CODE | |
| LOW | rag-sql-router/app.py | 526 | CODE | |
| LOW | stock-portfolio-analysis-agent/agent/stock_analysis.py | 456 | CODE | |
| LOW | stock-portfolio-analysis-agent/agent/main.py | 78 | CODE | |
| LOW | stock-portfolio-analysis-agent/agent/main.py | 96 | CODE | |
| LOW | context-engineering-workflow/app.py | 154 | CODE | |
| LOW | context-engineering-workflow/app.py | 236 | CODE | |
| LOW | context-engineering-workflow/app.py | 554 | CODE | |
| LOW | context-engineering-workflow/app.py | 609 | CODE | |
| LOW | context-engineering-workflow/src/tools/arxiv_tool.py | 107 | CODE | |
| LOW | context-engineering-workflow/src/tools/arxiv_tool.py | 127 | CODE | |
| LOW | …text-engineering-workflow/src/tools/web_search_tool.py | 19 | CODE | |
| LOW | context-engineering-workflow/src/rag/rag_pipeline.py | 23 | CODE | |
| LOW | multilingual-meeting-notes-generator/app.py | 26 | CODE | |
| LOW | …ingual-meeting-notes-generator/src/ui/ui_components.py | 22 | CODE | |
| LOW | …ingual-meeting-notes-generator/src/ui/ui_components.py | 87 | CODE | |
| LOW | mcp-video-rag/main.py | 21 | CODE | |
| 27 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …(home)/sections/workflow-builder/TestEndpointPanel.tsx | 156 | print(response.json()) | CODE |
| HIGH | …(home)/sections/workflow-builder/TestEndpointPanel.tsx | 167 | print(line.decode())`; | CODE |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 41 | print(f"[inference] Loading {MODEL_ID} ...", flush=True) | CODE |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 49 | print("[inference] Ready!", flush=True) | CODE |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 51 | print(f"[inference] Load error: {_e}", flush=True) | CODE |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 1274 | print(f"[push_to_hub patch] target: {src}", flush=True) | STRING |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 1297 | print(f"[push_to_hub patch] ✅ params.py patched ({n} substitution(s))", flush=True) | STRING |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 1298 | elif "# patched: force hub push" in code: | STRING |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 1299 | print("[push_to_hub patch] ✅ params.py already patched", flush=True) | STRING |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 1307 | print("[push_to_hub patch] ✅ params.py patched (literal fallback)", flush=True) | STRING |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 1309 | print(f"[push_to_hub patch] ⚠️ Could not locate patch target in {src}.", file=sys.stderr, flush=True) | STRING |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 1310 | print("[push_to_hub patch] Inspecting file…", file=sys.stderr, flush=True) | STRING |
| HIGH⚡ | finetune-studio-mcp-app/server.ts | 1313 | print(f" L{i}: {line!r}", file=sys.stderr, flush=True) | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | Multi-Agent-deep-researcher-mcp-windows-linux/server.py | 21 | # Run the server | COMMENT |
| LOW | Multi-Agent-deep-researcher-mcp-windows-linux/server.py | 41 | # } | COMMENT |
| LOW | …ook-lm-clone/src/audio_processing/audio_transcriber.py | 201 | chunks.append(chunk) | COMMENT |
| LOW | …ook-lm-clone/src/audio_processing/audio_transcriber.py | 221 | # end = min(start + chunk_size, len(transcript_text)) | COMMENT |
| LOW | …ook-lm-clone/src/audio_processing/audio_transcriber.py | 241 | # chunk = DocumentChunk( | COMMENT |
| LOW | …skills/hugging-face-jobs/scripts/generate-responses.py | 1 | # /// script | COMMENT |
| LOW | …/skills/hugging-face-jobs/scripts/cot-self-instruct.py | 1 | # /// script | COMMENT |
| LOW | …gging-face-model-trainer/references/gguf_conversion.md | 61 | ### 3. ✅ Include All Dependencies | COMMENT |
| LOW | …ace-model-trainer/references/reliability_principles.md | 161 | # /// | COMMENT |
| LOW | …/hugging-face-model-trainer/scripts/convert_to_gguf.py | 1 | #!/usr/bin/env python3 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 1 | # This file was autogenerated by uv via the following command: | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 21 | # httpx | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 41 | beam-client==0.2.175 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 61 | # via | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 81 | # streamlit | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 101 | # llama-index-readers-file | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 121 | feedparser==6.0.11 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 141 | gitdb==4.0.12 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 161 | # via | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 181 | # httpx-ws | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 201 | # anyio | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 221 | # betterproto-beta9 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 241 | llama-index-core==0.13.1 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 261 | # llama-index-cli | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 281 | # via firecrawl-agent (pyproject.toml) | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 301 | markupsafe==3.0.2 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 321 | # via | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 341 | # fastembed | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 361 | # via llama-index-readers-web | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 381 | pexpect==4.9.0 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 401 | # beta9 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 421 | pycparser==2.22 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 441 | # via playwright | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 461 | # firecrawl-py | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 481 | # via | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 501 | requests-file==2.1.0 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 521 | # via gitdb | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 541 | striprtf==0.0.26 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 561 | # via streamlit | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 581 | typing-extensions==4.14.1 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 601 | # selenium | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 621 | uvicorn==0.35.0 | COMMENT |
| LOW | firecrawl-agent/requirements.txt | 641 | # via | COMMENT |
| LOW | stock-portfolio-analysis-agent/frontend/next-env.d.ts | 1 | /// <reference types="next" /> | COMMENT |
| LOW | …s-agent/frontend/src/app/components/theme-provider.tsx | 1 | // 'use client' | COMMENT |
| LOW | colbert-rag/colbert.py | 61 | print("Sorted indices:", sorted_indices.tolist()) | COMMENT |
| LOW | open-agent-builder/next-env.d.ts | 1 | /// <reference types="next" /> | COMMENT |
| LOW | …p/(home)/sections/workflow-builder/WorkflowBuilder.tsx | 301 | // const nodesJson = JSON.stringify(nodes); | COMMENT |
| LOW | …p/(home)/sections/workflow-builder/WorkflowBuilder.tsx | 321 | // }); | COMMENT |
| LOW | …p/(home)/sections/workflow-builder/WorkflowBuilder.tsx | 341 | // console.log('✅ Template structure updated in Convex'); | COMMENT |
| LOW | …p/(home)/sections/workflow-builder/WorkflowBuilder.tsx | 681 | useEffect(() => { | COMMENT |
| LOW | …p/(home)/sections/workflow-builder/WorkflowBuilder.tsx | 701 | // currentNodeId | COMMENT |
| LOW | …p/(home)/sections/workflow-builder/WorkflowBuilder.tsx | 721 | // type: n.type || 'default', | COMMENT |
| LOW | …er/components/app/(home)/sections/hero/Title/Title.tsx | 81 | }; | COMMENT |
| LOW | …er/components/app/(home)/sections/hero/Title/Title.tsx | 101 | // ssr: false, | COMMENT |
| LOW | …er/components/app/(home)/sections/hero/Title/Title.tsx | 121 | // increaseProgress = (increaseProgress + 1) % 5; | COMMENT |
| LOW | …er/components/app/(home)/sections/hero/Title/Title.tsx | 141 | // }, []); | COMMENT |
| LOW | …er/components/app/(home)/sections/hero/Title/Title.tsx | 161 | COMMENT | |
| LOW | …er/components/app/(home)/sections/hero/Title/Title.tsx | 181 | COMMENT | |
| LOW | …er/components/app/(home)/sections/hero/Title/Title.tsx | 201 | // result += char; | COMMENT |
| 9 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | kitops-mcp/server.py | 12 | Create a new Kitfile at the specified directory with the given ModelKit name. Use this tool when you need to initia | STRING |
| HIGH | kitops-mcp/server.py | 36 | Inspect a ModelKit and return its detailed information from the remote registry. Use this tool when you need to ret | STRING |
| HIGH | kitops-mcp/server.py | 57 | Pack the project situated at the working directory and push it as a ModelKit to the remote registry. Use this tool | STRING |
| HIGH | kitops-mcp/server.py | 81 | Pull a ModelKit from the remote registry and unpack it to the specified directory. Use this tool when you need to d | STRING |
| HIGH | kitops-mcp/server.py | 105 | Remove a ModelKit from the remote registry. Use this tool when you need to delete a ModelKit from the remote regist | STRING |
| HIGH | …ls/skills/hugging-face-datasets/scripts/sql_manager.py | 134 | Execute SQL query on a Hugging Face dataset. Args: dataset_id: Dataset ID (e.g., "cais/mml | STRING |
| HIGH | …ls/skills/hugging-face-datasets/scripts/sql_manager.py | 356 | Filter and transform dataset with SQL clauses. Args: dataset_id: Dataset ID se | STRING |
| HIGH | llamaindex-mcp/server.py | 60 | Read data from the people table using a SQL SELECT query. Args: query (str, optional): SQL SELECT query. De | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | conversational-support-flow/support_flow.py | 23 | logger = logging.getLogger(__name__) | CODE |
| LOW | notebook-lm-clone/app.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | notebook-lm-clone/tests/notebook_pipeline.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | notebook-lm-clone/src/embeddings/embedding_generator.py | 10 | logger = logging.getLogger(__name__) | CODE |
| LOW | notebook-lm-clone/src/memory/memory_layer.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | …ebook-lm-clone/src/vector_database/milvus_vector_db.py | 10 | logger = logging.getLogger(__name__) | CODE |
| LOW | notebook-lm-clone/src/web_scraping/web_scraper.py | 14 | logger = logging.getLogger(__name__) | CODE |
| LOW | …book-lm-clone/src/document_processing/doc_processor.py | 12 | logger = logging.getLogger(__name__) | CODE |
| LOW | notebook-lm-clone/src/podcast/script_generator.py | 10 | logger = logging.getLogger(__name__) | CODE |
| LOW | notebook-lm-clone/src/podcast/text_to_speech.py | 17 | logger = logging.getLogger(__name__) | CODE |
| LOW | …k-lm-clone/src/audio_processing/youtube_transcriber.py | 12 | logger = logging.getLogger(__name__) | CODE |
| LOW | …ook-lm-clone/src/audio_processing/audio_transcriber.py | 13 | logger = logging.getLogger(__name__) | CODE |
| LOW | notebook-lm-clone/src/generation/rag.py | 10 | logger = logging.getLogger(__name__) | CODE |
| LOW | …skills/hugging-face-jobs/scripts/generate-responses.py | 61 | logger = logging.getLogger(__name__) | CODE |
| LOW | …/skills/hugging-face-jobs/scripts/cot-self-instruct.py | 75 | logger = logging.getLogger(__name__) | CODE |
| LOW | …lls/skills/hugging-face-jobs/scripts/finepdfs-stats.py | 53 | logger = logging.getLogger(__name__) | CODE |
| LOW⚡ | mcp-voice-agent/agent.py | 35 | logger = logging.getLogger(__name__) | CODE |
| LOW | fastest-rag-milvus-groq/rag.py | 10 | logger = logging.getLogger(__name__) | CODE |
| LOW | mcp-video-rag/main.py | 13 | logger = logging.getLogger(__name__) | CODE |
| LOW | github-rag/app.py | 17 | logger = logging.getLogger(__name__) | CODE |
| LOW | multimodal-rag-assemblyai/main.py | 23 | logger = logging.getLogger(__name__) | CODE |
| LOW | ai-podcast-generation/app.py | 16 | logger = logging.getLogger(__name__) | CODE |
| LOW | ai-podcast-generation/app_oss.py | 16 | logger = logging.getLogger(__name__) | CODE |
| LOW | ai-podcast-generation/src/web_scraping/web_scraper.py | 9 | logger = logging.getLogger(__name__) | CODE |
| LOW | ai-podcast-generation/src/podcast/script_generator.py | 9 | logger = logging.getLogger(__name__) | CODE |
| LOW | ai-podcast-generation/src/podcast/text_to_speech.py | 29 | logger = logging.getLogger(__name__) | CODE |
| LOW | …podcast-generation/src/podcast/script_generator_oss.py | 8 | logger = logging.getLogger(__name__) | CODE |
| LOW | ai-avatar-demo/config/__init__.py | 4 | __all__ = ["settings"] | CODE |
| LOW | ai-avatar-demo/services/__init__.py | 6 | __all__ = ["zep_service", "anam_service", "llm_service"] | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | conversational-support-flow/frontend/package-lock.json | 15916 | "resolved": "https://registry.npmjs.org/robust-predicates/-/robust-predicates-3.0.3.tgz", | CODE |
| MEDIUM | …skills/hugging-face-jobs/scripts/generate-responses.py | 94 | """Create a comprehensive dataset card documenting the generation process.""" | STRING |
| MEDIUM | …/skills/hugging-face-jobs/scripts/cot-self-instruct.py | 374 | """Create a comprehensive dataset card.""" | STRING |
| MEDIUM | …-meeting-notes-generator/src/services/text_analyzer.py | 18 | """Generate a comprehensive summary of the meeting in bullet point format.""" | STRING |
| MEDIUM | …-meeting-notes-generator/src/services/text_analyzer.py | 246 | # Parse JSON response with robust error handling | STRING |
| MEDIUM | …eeting-notes-generator/src/services/audio_processor.py | 19 | """Process a meeting audio file and generate comprehensive meeting notes.""" | STRING |
| MEDIUM | groundX-doc-pipeline/app.py | 96 | # Construct comprehensive prompt for intelligent query handling | COMMENT |
| MEDIUM | open-agent-builder/convex/apiKeys.ts | 21 | // In production, consider using a more robust hashing method | COMMENT |
| MEDIUM | build-code-harness/code_harness.py | 197 | # harness loop -- explore the repo, plan the fixes, edit, run tests, iterate | COMMENT |
| MEDIUM | paralegal-agent-crew/src/workflows/agent_workflow.py | 53 | """You are a response synthesizer. Create a comprehensive and accurate answer based on the available information. | STRING |
| MEDIUM | …idelines-vs-traditional-prompt/parlant_agent_server.py | 12 | """Retrieves comprehensive information about available life insurance policy types. | STRING |
| MEDIUM | …idelines-vs-traditional-prompt/parlant_agent_server.py | 138 | """Provides comprehensive contact information for licensed insurance agents. | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | documentation-writer-flow/main.py | 9 | CODE | |
| LOW | cursor_linkup_mcp/rag.py | 73 | CODE | |
| LOW | …lls/hugging-face-evaluation/scripts/inspect_vllm_uv.py | 49 | CODE | |
| LOW | …s/hugging-face-evaluation/scripts/lighteval_vllm_uv.py | 45 | CODE | |
| LOW | …skills/hugging-face-jobs/scripts/generate-responses.py | 168 | CODE | |
| LOW | fastest-rag-stack/rag_code.py | 107 | CODE | |
| LOW | context-engineering-workflow/src/rag/rag_pipeline.py | 125 | CODE | |
| LOW | …eeting-notes-generator/src/services/audio_processor.py | 79 | CODE | |
| LOW | simple-rag-workflow/workflow.py | 73 | CODE | |
| LOW | chat-with-audios/rag_code.py | 110 | CODE | |
| LOW | llama-4-rag/workflow.py | 74 | CODE | |
| LOW | mcp-agentic-rag-firecrawl/server.py | 30 | CODE | |
| LOW | database-memory-agent/planning.py | 101 | CODE | |
| LOW | llama-4_vs_deepseek-r1/workflow.py | 82 | CODE | |
| LOW | qwen3_vs_deepseek-r1/workflow.py | 82 | CODE | |
| LOW | mcp-agentic-rag/server.py | 30 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …-meeting-notes-generator/src/services/text_analyzer.py | 124 | "assignee": "Person responsible (if mentioned, otherwise null)", | CODE |
| HIGH | …-meeting-notes-generator/src/services/text_analyzer.py | 125 | "due_date": "Due date or timeline (if mentioned, otherwise null)", | CODE |
| HIGH | ai-avatar-demo/app.py | 215 | let anamClient = null; | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | multiplatform_deep_researcher/flow.py | 279 | # Usage example | STRING |
| LOW | web-browsing-agent/flow.py | 146 | # Usage example | COMMENT |
| LOW | cursor_linkup_mcp/rag.py | 81 | # Example usage | COMMENT |
| LOW | simple-rag-workflow/workflow.py | 81 | # Example usage | COMMENT |
| LOW | llama-4-rag/workflow.py | 82 | # Example usage | COMMENT |
| LOW | llamaindex-mcp/server.py | 114 | # # Example usage | STRING |
| LOW | llama-4_vs_deepseek-r1/workflow.py | 90 | # Example usage | COMMENT |
| LOW | qwen3_vs_deepseek-r1/workflow.py | 90 | # Example usage | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | …/hugging-face-datasets/examples/training_examples.json | 111 | "content": "Great! I've fixed the missing config file issue. Your Node.js app should now start without crashing. | CODE |
| LOW | …elines-vs-traditional-prompt/traditional_llm_prompt.py | 127 | - Don't forget to update beneficiaries after life events | CODE |
| LOW | …elines-vs-traditional-prompt/traditional_llm_prompt.py | 135 | - Don't forget to review coverage every 3-5 years or after major life events | CODE |
| MEDIUM | deploy-agentic-rag/server.py | 9 | # If you'd like, you can use a local LLM as well through Ollama. Do this: | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …kills/skills/brightdata-web-mcp/references/examples.md | 121 | "text": "user@example.com", | CODE |
| LOW | llamaindex-mcp/server.py | 28 | VALUES ('John Doe', 30, 'Engineer') | STRING |
| LOW | llamaindex-mcp/server.py | 76 | [(1, 'John Doe', 30, 'Engineer'), (2, 'Alice Smith', 25, 'Developer')] | CODE |
| LOW | llamaindex-mcp/server.py | 119 | # VALUES ('John Doe', 30, 'Engineer') | COMMENT |