Give your agents the power of the Hugging Face ecosystem
This report presents the forensic synthetic code analysis of huggingface/skills, a Python project with 10,814 GitHub stars. SynthScan v2.0 examined 40,181 lines of code across 188 source files, recording 256 pattern matches distributed across 16 syntactic categories. The overall adjusted score of 11.6 places this repository in the Low AI signal band.
The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).
Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.
Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.
This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.
The scanner identified 256 distinct pattern matches across 16 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. 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 diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …pts/train_sentence_transformer_distillation_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …ts/train_sentence_transformer_multi_dataset_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …sformers/scripts/train_sentence_transformer_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …ce-transformers/scripts/train_cross_encoder_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …ripts/train_sentence_transformer_matryoshka_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …ormers/scripts/train_cross_encoder_listwise_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …e-transformers/scripts/train_sparse_encoder_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …rain_sentence_transformer_make_multilingual_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …s/scripts/train_sparse_encoder_distillation_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …cripts/train_sentence_transformer_with_lora_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …rs/scripts/train_cross_encoder_distillation_example.py | 0 | bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast). | STRING |
| HIGH | …pts/train_sentence_transformer_distillation_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …ts/train_sentence_transformer_multi_dataset_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …sformers/scripts/train_sentence_transformer_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …ce-transformers/scripts/train_cross_encoder_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …ripts/train_sentence_transformer_matryoshka_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …ormers/scripts/train_cross_encoder_listwise_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …e-transformers/scripts/train_sparse_encoder_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …rain_sentence_transformer_make_multilingual_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …train_sentence_transformer_static_embedding_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …s/scripts/train_sparse_encoder_distillation_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …cripts/train_sentence_transformer_with_lora_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …rs/scripts/train_cross_encoder_distillation_example.py | 0 | surface the trackio dashboard url so the user can watch training live. | STRING |
| HIGH | …pts/train_sentence_transformer_distillation_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …ts/train_sentence_transformer_multi_dataset_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …sformers/scripts/train_sentence_transformer_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …ce-transformers/scripts/train_cross_encoder_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …ripts/train_sentence_transformer_matryoshka_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …ormers/scripts/train_cross_encoder_listwise_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …e-transformers/scripts/train_sparse_encoder_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …rain_sentence_transformer_make_multilingual_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …train_sentence_transformer_static_embedding_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …s/scripts/train_sparse_encoder_distillation_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …cripts/train_sentence_transformer_with_lora_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| HIGH | …rs/scripts/train_cross_encoder_distillation_example.py | 0 | configure logging + tf32. tees to logs/{run_name}.log and silences http spam. | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/run_skills_help.py | 51 | except Exception as e: | CODE |
| LOW | …ingface-llm-trainer/references/local_training_macos.md | 110 | except Exception: | CODE |
| LOW | …gface-llm-trainer/references/reliability_principles.md | 262 | except Exception as e: | CODE |
| MEDIUM | …gface-llm-trainer/references/reliability_principles.md | 264 | print(f"Error: {e}") | CODE |
| LOW | …huggingface-llm-trainer/scripts/unsloth_sft_example.py | 453 | except Exception as e: | STRING |
| LOW⚡ | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 146 | except Exception as e: | CODE |
| LOW⚡ | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 154 | except Exception as e: | CODE |
| LOW⚡ | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 165 | except Exception as e: | CODE |
| LOW⚡ | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 290 | except Exception as e: | CODE |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 133 | except Exception as e: | CODE |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 302 | except Exception as e: | CODE |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 316 | except Exception as e: | CODE |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 411 | except Exception as e: | STRING |
| LOW | …s/huggingface-llm-trainer/scripts/dataset_inspector.py | 49 | except Exception as e: | CODE |
| LOW | …s/huggingface-llm-trainer/scripts/dataset_inspector.py | 256 | except Exception as e: | CODE |
| LOW | …s/huggingface-llm-trainer/scripts/dataset_inspector.py | 415 | except Exception as e: | CODE |
| MEDIUM | skills/huggingface-llm-trainer/scripts/hf_benchmarks.py | 620 | print("Error: provide dataset ids or use --stdin.", file=sys.stderr) | CODE |
| MEDIUM | skills/huggingface-llm-trainer/scripts/hf_benchmarks.py | 651 | print(f"Error: {exc}", file=sys.stderr) | CODE |
| MEDIUM | skills/huggingface-llm-trainer/scripts/hf_benchmarks.py | 654 | print(f"Error: {exc}", file=sys.stderr) | CODE |
| LOW | skills/huggingface-lora-space-builder/SKILL.md | 53 | except Exception: | CODE |
| LOW | skills/huggingface-lora-space-builder/SKILL.md | 215 | except Exception: | CODE |
| LOW | …ora-space-builder/references/zerogpu-and-publishing.md | 66 | except Exception: | CODE |
| LOW | …ora-space-builder/references/zerogpu-and-publishing.md | 87 | except Exception as e: | CODE |
| LOW | …huggingface-community-evals/scripts/inspect_eval_uv.py | 30 | except Exception: | CODE |
| LOW | skills/huggingface-spaces/references/zerogpu.md | 284 | except Exception as e: | CODE |
| MEDIUM | …s/huggingface-paper-publisher/scripts/paper_manager.py | 31 | print(f"Error: Missing required dependency: {e}") | CODE |
| MEDIUM | …s/huggingface-paper-publisher/scripts/paper_manager.py | 63 | print(f"Error: {e}") | CODE |
| MEDIUM | …s/huggingface-paper-publisher/scripts/paper_manager.py | 81 | print(f"Error checking paper status: {e}") | CODE |
| MEDIUM | …s/huggingface-paper-publisher/scripts/paper_manager.py | 143 | print(f"Error: {e}") | CODE |
| LOW | …s/huggingface-paper-publisher/scripts/paper_manager.py | 193 | except Exception as e: | CODE |
| MEDIUM | …s/huggingface-paper-publisher/scripts/paper_manager.py | 194 | print(f"Error linking paper: {e}") | CODE |
| LOW | …s/huggingface-paper-publisher/scripts/paper_manager.py | 379 | except Exception as e: | CODE |
| MEDIUM | …s/huggingface-paper-publisher/scripts/paper_manager.py | 559 | print("Error: Must provide --arxiv-id or --arxiv-ids") | CODE |
| MEDIUM | …s/huggingface-paper-publisher/scripts/paper_manager.py | 588 | print(f"Error: {result['error']}") | CODE |
| LOW | …pts/train_sentence_transformer_distillation_example.py | 112 | except Exception: | CODE |
| LOW | …pts/train_sentence_transformer_distillation_example.py | 296 | except Exception: | CODE |
| LOW | …ts/train_sentence_transformer_multi_dataset_example.py | 116 | except Exception: | CODE |
| LOW | …ts/train_sentence_transformer_multi_dataset_example.py | 251 | except Exception: | CODE |
| LOW | …sformers/scripts/train_sentence_transformer_example.py | 87 | except Exception: | CODE |
| LOW | …sformers/scripts/train_sentence_transformer_example.py | 220 | except Exception: | CODE |
| LOW | …ce-transformers/scripts/train_cross_encoder_example.py | 74 | except Exception: | CODE |
| LOW | …ce-transformers/scripts/train_cross_encoder_example.py | 246 | except Exception: | CODE |
| LOW | …ripts/train_sentence_transformer_matryoshka_example.py | 68 | except Exception: | CODE |
| LOW | …ripts/train_sentence_transformer_matryoshka_example.py | 205 | except Exception: | CODE |
| LOW | …ormers/scripts/train_cross_encoder_listwise_example.py | 91 | except Exception: | CODE |
| LOW | …ormers/scripts/train_cross_encoder_listwise_example.py | 275 | except Exception: | CODE |
| LOW | …e-transformers/scripts/train_sparse_encoder_example.py | 74 | except Exception: | CODE |
| LOW | …e-transformers/scripts/train_sparse_encoder_example.py | 230 | except Exception: | CODE |
| LOW | …rain_sentence_transformer_make_multilingual_example.py | 82 | except Exception: | CODE |
| LOW | …rain_sentence_transformer_make_multilingual_example.py | 129 | except Exception as exc: | CODE |
| LOW | …rain_sentence_transformer_make_multilingual_example.py | 137 | except Exception: | CODE |
| LOW | …rain_sentence_transformer_make_multilingual_example.py | 301 | except Exception: | CODE |
| LOW | …train_sentence_transformer_static_embedding_example.py | 97 | except Exception: | CODE |
| LOW | …train_sentence_transformer_static_embedding_example.py | 266 | except Exception: | CODE |
| LOW | …s/scripts/train_sparse_encoder_distillation_example.py | 77 | except Exception: | CODE |
| LOW | …s/scripts/train_sparse_encoder_distillation_example.py | 255 | except Exception: | CODE |
| LOW | …cripts/train_sentence_transformer_with_lora_example.py | 130 | except Exception: | CODE |
| LOW | …cripts/train_sentence_transformer_with_lora_example.py | 268 | except Exception: | CODE |
| LOW | …rs/scripts/train_cross_encoder_distillation_example.py | 83 | except Exception: | CODE |
| LOW | …rs/scripts/train_cross_encoder_distillation_example.py | 247 | except Exception: | CODE |
| 12 more matches not shown… | ||||
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/generate_agents.py | 12 | CODE | |
| LOW | scripts/build_skill_distribution.py | 16 | CODE | |
| LOW | scripts/generate_cursor_plugin.py | 19 | CODE | |
| LOW | scripts/plugin_versions.py | 8 | CODE | |
| LOW | scripts/build_skills_index.py | 8 | CODE | |
| LOW | …/huggingface-llm-trainer/scripts/train_grpo_example.py | 33 | CODE | |
| LOW | skills/huggingface-llm-trainer/scripts/hf_benchmarks.py | 17 | CODE | |
| LOW | …huggingface-community-evals/scripts/inspect_vllm_uv.py | 26 | CODE | |
| LOW | …huggingface-community-evals/scripts/inspect_eval_uv.py | 14 | CODE | |
| LOW | …ggingface-community-evals/scripts/lighteval_vllm_uv.py | 23 | CODE | |
| LOW | …hf-cloud-sagemaker-iam-preflight/scripts/check_role.py | 29 | CODE | |
| LOW | …f-cloud-sagemaker-iam-preflight/scripts/create_role.py | 21 | CODE | |
| LOW | …f-cloud-sagemaker-iam-preflight/scripts/create_role.py | 23 | CODE | |
| LOW | …s/huggingface-paper-publisher/scripts/paper_manager.py | 22 | CODE | |
| LOW | …s/huggingface-paper-publisher/scripts/paper_manager.py | 27 | CODE | |
| LOW | …-cloud-serving-image-selection/scripts/mirror_image.py | 19 | CODE | |
| LOW | …pts/train_sentence_transformer_distillation_example.py | 72 | CODE | |
| LOW | …n-sentence-transformers/scripts/mine_hard_negatives.py | 67 | CODE | |
| LOW | …ts/train_sentence_transformer_multi_dataset_example.py | 71 | CODE | |
| LOW | …sformers/scripts/train_sentence_transformer_example.py | 48 | CODE | |
| LOW | …ce-transformers/scripts/train_cross_encoder_example.py | 33 | CODE | |
| LOW | …ripts/train_sentence_transformer_matryoshka_example.py | 25 | CODE | |
| LOW | …ormers/scripts/train_cross_encoder_listwise_example.py | 45 | CODE | |
| LOW | …e-transformers/scripts/train_sparse_encoder_example.py | 32 | CODE | |
| LOW | …rain_sentence_transformer_make_multilingual_example.py | 38 | CODE | |
| LOW | …train_sentence_transformer_static_embedding_example.py | 52 | CODE | |
| LOW | …s/scripts/train_sparse_encoder_distillation_example.py | 39 | CODE | |
| LOW | …cripts/train_sentence_transformer_with_lora_example.py | 90 | CODE | |
| LOW | …rs/scripts/train_cross_encoder_distillation_example.py | 43 | CODE | |
| LOW | …ce-vision-trainer/scripts/sam_segmentation_training.py | 17 | CODE | |
| LOW | …ce-vision-trainer/scripts/sam_segmentation_training.py | 21 | CODE | |
| LOW | …ision-trainer/scripts/image_classification_training.py | 21 | CODE | |
| LOW | …ision-trainer/scripts/image_classification_training.py | 22 | CODE | |
| LOW | …ision-trainer/scripts/image_classification_training.py | 26 | CODE | |
| LOW | …huggingface-tool-builder/references/baseline_hf_api.py | 9 | CODE | |
| LOW | skills/hf-cloud-python-env-setup/scripts/setup_env.py | 14 | CODE | |
| LOW | …loud-sagemaker-production-defaults/scripts/teardown.py | 17 | CODE | |
| LOW | …-cloud-sagemaker-production-defaults/scripts/deploy.py | 15 | CODE | |
| LOW | …gemaker-production-defaults/scripts/invoke_endpoint.py | 23 | CODE | |
| LOW | …cloud-sagemaker-production-defaults/scripts/_common.py | 9 | CODE | |
| LOW | apps/hackers-leaderboard/app.py | 12 | CODE | |
| LOW | apps/hackers-leaderboard/collect_points.py | 17 | CODE | |
| LOW | apps/evals-leaderboard/collect_evals.py | 14 | CODE | |
| LOW | apps/evals-leaderboard/app.py | 12 | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 158 | # Step 2: Save merged model temporarily | COMMENT |
| LOW⚡ | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 169 | # Step 3: Install llama.cpp for conversion | COMMENT |
| LOW⚡ | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 281 | # Step 6: Upload to Hub | COMMENT |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 121 | # Step 1: Load base model and adapter | COMMENT |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 199 | # Step 4: Convert to GGUF (FP16) | COMMENT |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 223 | # Step 5: Quantize to different formats | COMMENT |
| LOW⚡ | …/huggingface-paper-publisher/examples/example_usage.md | 119 | # Step 1: Create research article | COMMENT |
| LOW⚡ | …/huggingface-paper-publisher/examples/example_usage.md | 126 | # Step 2: Edit the paper (use your favorite editor) | COMMENT |
| LOW⚡ | …/huggingface-paper-publisher/examples/example_usage.md | 129 | # Step 3: Submit to arXiv (external process) | COMMENT |
| LOW⚡ | …/huggingface-paper-publisher/examples/example_usage.md | 132 | # Step 4: Index on Hugging Face | COMMENT |
| LOW⚡ | …/huggingface-paper-publisher/examples/example_usage.md | 135 | # Step 5: Link to your models/datasets | COMMENT |
| LOW | …/huggingface-paper-publisher/examples/example_usage.md | 146 | # Step 6: Generate citation for README | COMMENT |
| LOW | skills/huggingface-best/SKILL.md | 22 | ## Step 1: Parse the request | COMMENT |
| LOW | skills/huggingface-best/SKILL.md | 41 | ## Step 2: Find relevant benchmark datasets | COMMENT |
| LOW | skills/huggingface-best/SKILL.md | 54 | ## Step 3: Fetch top models from leaderboards | COMMENT |
| LOW | skills/huggingface-best/SKILL.md | 67 | ## Step 4: Enrich with model metadata | COMMENT |
| LOW | skills/huggingface-best/SKILL.md | 87 | ## Step 5: Filter and rank | COMMENT |
| LOW | skills/huggingface-best/SKILL.md | 102 | ## Step 6: Output | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM⚡ | …ce-vision-trainer/scripts/sam_segmentation_training.py | 45 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | …ce-vision-trainer/scripts/sam_segmentation_training.py | 47 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | …ce-vision-trainer/scripts/sam_segmentation_training.py | 144 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | …ce-vision-trainer/scripts/sam_segmentation_training.py | 146 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | …ce-vision-trainer/scripts/sam_segmentation_training.py | 156 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM⚡ | …ce-vision-trainer/scripts/sam_segmentation_training.py | 158 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | …ce-vision-trainer/scripts/sam_segmentation_training.py | 228 | # --------------------------------------------------------------------------- | COMMENT |
| MEDIUM | …ce-vision-trainer/scripts/sam_segmentation_training.py | 230 | # --------------------------------------------------------------------------- | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/generate_agents.py | 158 | def build_internal_marketplace(skills: list[dict[str, str]]) -> dict: | CODE |
| LOW | scripts/generate_agents.py | 190 | def write_internal_marketplace(skills: list[dict[str, str]]) -> None: | CODE |
| LOW | scripts/generate_agents.py | 257 | def validate_external_marketplace(skills: list[dict[str, str]], path: Path) -> list[str]: | CODE |
| LOW | scripts/generate_agents.py | 315 | def validate_internal_marketplace(skills: list[dict[str, str]]) -> list[str]: | CODE |
| LOW | scripts/generate_cursor_plugin.py | 79 | def build_cursor_plugin_manifest() -> dict: | CODE |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 50 | def check_system_dependencies(): | CODE |
| LOW | skills/transformers-js/references/EXAMPLES.md | 383 | export function EmbeddingGeneratorWithProgress() { | CODE |
| LOW | …huggingface-community-evals/scripts/inspect_eval_uv.py | 24 | def _inspect_evals_tasks_root() -> Optional[Path]: | CODE |
| LOW | …ainer/references/object_detection_training_notebook.md | 238 | >>> def format_image_annotations_as_coco(image_id, categories, areas, bboxes): | CODE |
| LOW | …ainer/references/object_detection_training_notebook.md | 275 | >>> def augment_and_transform_batch(examples, transform, image_processor, return_pixel_mask=False): | CODE |
| LOW | …ainer/references/object_detection_training_notebook.md | 381 | >>> def convert_bbox_yolo_to_pascal(boxes, image_size): | CODE |
| LOW | …uggingface-vision-trainer/scripts/dataset_inspector.py | 243 | def check_image_classification_compatibility(columns: List[str], sample_rows: List[Dict], features: List[Dict]) -> Dict[ | CODE |
| LOW | …uggingface-vision-trainer/scripts/dataset_inspector.py | 296 | def check_object_detection_compatibility(columns: List[str], sample_rows: List[Dict]) -> Dict[str, Any]: | CODE |
| LOW | …uggingface-vision-trainer/scripts/dataset_inspector.py | 329 | def check_sam_segmentation_compatibility(columns: List[str], sample_rows: List[Dict], features: List[Dict]) -> Dict[str, | CODE |
| LOW | …ce-vision-trainer/scripts/object_detection_training.py | 64 | def format_image_annotations_as_coco( | CODE |
| LOW | …ce-vision-trainer/scripts/object_detection_training.py | 99 | def detect_bbox_format_from_samples(dataset, image_col="image", objects_col="objects", num_samples=50): | CODE |
| LOW | …ce-vision-trainer/scripts/object_detection_training.py | 213 | def convert_bbox_yolo_to_pascal(boxes: torch.Tensor, image_size: tuple[int, int]) -> torch.Tensor: | CODE |
| LOW | …ce-vision-trainer/scripts/object_detection_training.py | 239 | def augment_and_transform_batch( | CODE |
| LOW | …-sagemaker-production-defaults/scripts/deploy_async.py | 62 | def create_async_endpoint_config( | CODE |
| LOW | …-sagemaker-production-defaults/scripts/deploy_async.py | 127 | def register_async_autoscaling( | CODE |
| LOW | apps/hackers-leaderboard/collect_points.py | 215 | def _fetch_member_discussions( | CODE |
| LOW | apps/hackers-leaderboard/collect_points.py | 260 | def _fetch_discussion_comments( | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | scripts/generate_agents.py | 41 | CODE | |
| LOW | scripts/build_skill_distribution.py | 149 | CODE | |
| LOW | scripts/build_skills_index.py | 93 | CODE | |
| LOW | scripts/build_skills_index.py | 265 | CODE | |
| LOW | …huggingface-llm-trainer/scripts/unsloth_sft_example.py | 215 | CODE | |
| LOW | …s/huggingface-llm-trainer/scripts/dataset_inspector.py | 128 | CODE | |
| LOW | …s/huggingface-llm-trainer/scripts/dataset_inspector.py | 186 | CODE | |
| LOW | skills/huggingface-llm-trainer/scripts/hf_benchmarks.py | 126 | CODE | |
| LOW | skills/huggingface-llm-trainer/scripts/hf_benchmarks.py | 213 | CODE | |
| LOW | skills/huggingface-llm-trainer/scripts/hf_benchmarks.py | 261 | CODE | |
| LOW | …s/huggingface-paper-publisher/scripts/paper_manager.py | 485 | CODE | |
| LOW | …uggingface-vision-trainer/scripts/dataset_inspector.py | 122 | CODE | |
| LOW | …uggingface-vision-trainer/scripts/dataset_inspector.py | 243 | CODE | |
| LOW | …uggingface-vision-trainer/scripts/dataset_inspector.py | 329 | CODE | |
| LOW | …uggingface-vision-trainer/scripts/dataset_inspector.py | 522 | CODE | |
| LOW | …uggingface-vision-trainer/scripts/dataset_inspector.py | 546 | CODE | |
| LOW | apps/evals-leaderboard/collect_evals.py | 265 | CODE |
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|---|---|---|---|---|
| LOW | …/huggingface-llm-trainer/references/gguf_conversion.md | 61 | ### 3. ✅ Include All Dependencies | COMMENT |
| LOW | …gface-llm-trainer/references/reliability_principles.md | 161 | # /// | COMMENT |
| LOW | …huggingface-llm-trainer/scripts/unsloth_sft_example.py | 1 | # /// script | COMMENT |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 1 | #!/usr/bin/env python3 | COMMENT |
| LOW | …s/huggingface-llm-trainer/scripts/train_sft_example.py | 1 | #!/usr/bin/env python3 | COMMENT |
| LOW | …train_sentence_transformer_static_embedding_example.py | 1 | #!/usr/bin/env python3 | COMMENT |
| LOW | …cripts/train_sentence_transformer_with_lora_example.py | 1 | #!/usr/bin/env python3 | COMMENT |
| LOW | …ls/huggingface-vision-trainer/references/hub_saving.md | 421 | ``` | COMMENT |
| LOW | …ce-vision-trainer/references/reliability_principles.md | 141 | ### How to Apply | COMMENT |
| LOW | …ce-vision-trainer/scripts/sam_segmentation_training.py | 1 | # /// script | COMMENT |
| LOW | …ision-trainer/scripts/image_classification_training.py | 1 | # /// script | COMMENT |
| LOW | …ce-vision-trainer/scripts/object_detection_training.py | 1 | # /// script | COMMENT |
| LOW | skills/hf-cloud-python-env-setup/requirements.txt | 1 | # Core AWS dependencies for SageMaker deployment. | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW⚡ | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 158 | # Step 2: Save merged model temporarily | COMMENT |
| LOW⚡ | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 169 | # Step 3: Install llama.cpp for conversion | COMMENT |
| LOW⚡ | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 281 | # Step 6: Upload to Hub | COMMENT |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 121 | # Step 1: Load base model and adapter | COMMENT |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 199 | # Step 4: Convert to GGUF (FP16) | COMMENT |
| LOW | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 223 | # Step 5: Quantize to different formats | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| HIGH | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 70 | print(" macOS: xcode-select --install && brew install cmake") | CODE |
| HIGH | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 27 | - Ubuntu/Debian: sudo apt-get update && sudo apt-get install -y build-essential cmake | STRING |
| HIGH | …lls/huggingface-llm-trainer/scripts/convert_to_gguf.py | 29 | - macOS: xcode-select --install && brew install cmake | STRING |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …s/huggingface-paper-publisher/scripts/paper_manager.py | 68 | # Check if paper exists | COMMENT |
| LOW | …s/huggingface-paper-publisher/scripts/paper_manager.py | 217 | # Check if YAML frontmatter exists | COMMENT |
| LOW | …uggingface-vision-trainer/scripts/dataset_inspector.py | 150 | # Check if it's a list of annotations or a dict | COMMENT |
| LOW | …uggingface-vision-trainer/scripts/dataset_inspector.py | 464 | # Check if format conversion is needed | COMMENT |
| LOW | …ngface-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 | …ngface-tool-builder/references/find_models_by_paper.sh | 133 | # Check if we got a valid response | COMMENT |
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|---|---|---|---|---|
| LOW | scripts/plugin_versions.py | 74 | def set_nested(data: dict[str, Any], keys: tuple[str, ...], value: str) -> None: | CODE |
| LOW | scripts/plugin_versions.py | 119 | def set_all_versions(version: str) -> None: | CODE |
| LOW | …huggingface-llm-trainer/scripts/unsloth_sft_example.py | 55 | logger = logging.getLogger(__name__) | CODE |
| LOW⚡ | …ce-vision-trainer/scripts/sam_segmentation_training.py | 40 | logger = logging.getLogger(__name__) | CODE |
| LOW | …ision-trainer/scripts/image_classification_training.py | 55 | logger = logging.getLogger(__name__) | CODE |
| LOW | …ce-vision-trainer/scripts/object_detection_training.py | 50 | logger = logging.getLogger(__name__) | CODE |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | …hf-cloud-sagemaker-iam-preflight/scripts/check_role.py | 83 | # and is robust to single/list Principal.Service shapes. | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| MEDIUM | …cloud-sagemaker-production-defaults/scripts/_common.py | 22 | # --tag-filters Key=CreatedBy,Values=agentic-deploy-skills | COMMENT |
| Severity | File | Line | Snippet | Context |
|---|---|---|---|---|
| LOW | …huggingface-community-evals/scripts/inspect_vllm_uv.py | 43 | CODE | |
| LOW | …ggingface-community-evals/scripts/lighteval_vllm_uv.py | 40 | CODE |
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|---|---|---|---|---|
| LOW | skills/huggingface-gradio/examples.md | 14 | return gr.Textbox(lines=8, visible=True, value="Lorem ipsum dolor sit amet") | CODE |
| LOW | skills/huggingface-gradio/examples.md | 14 | return gr.Textbox(lines=8, visible=True, value="Lorem ipsum dolor sit amet") | CODE |