Repository Analysis

huggingface/skills

Give your agents the power of the Hugging Face ecosystem

11.6 Low AI signal View on GitHub

Analysis Overview

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).

11.6
Adjusted Score
11.6
Raw Score
100%
Time Factor
2026-07-14
Last Push
10.8K
Stars
Python
Language
40.2K
Lines of Code
188
Files
256
Pattern Hits
2026-07-14
Scan Date
0.20
HC Hit Rate

What These Metrics Mean

Adjusted Score
Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score
The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor
The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits
Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate
High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files
Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

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.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

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.

CRITICAL 0HIGH 38MEDIUM 23LOW 195

Directory Score Breakdown

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.

Pattern Findings

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.

Cross-File Repetition35 hits · 175 pts
SeverityFileLineSnippetContext
HIGH…pts/train_sentence_transformer_distillation_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…ts/train_sentence_transformer_multi_dataset_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…sformers/scripts/train_sentence_transformer_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…ce-transformers/scripts/train_cross_encoder_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…ripts/train_sentence_transformer_matryoshka_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…ormers/scripts/train_cross_encoder_listwise_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…e-transformers/scripts/train_sparse_encoder_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…rain_sentence_transformer_make_multilingual_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…s/scripts/train_sparse_encoder_distillation_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…cripts/train_sentence_transformer_with_lora_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…rs/scripts/train_cross_encoder_distillation_example.py0bf16/fp16 autocast for evaluator calls outside the trainer (which has its own autocast).STRING
HIGH…pts/train_sentence_transformer_distillation_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…ts/train_sentence_transformer_multi_dataset_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…sformers/scripts/train_sentence_transformer_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…ce-transformers/scripts/train_cross_encoder_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…ripts/train_sentence_transformer_matryoshka_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…ormers/scripts/train_cross_encoder_listwise_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…e-transformers/scripts/train_sparse_encoder_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…rain_sentence_transformer_make_multilingual_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…train_sentence_transformer_static_embedding_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…s/scripts/train_sparse_encoder_distillation_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…cripts/train_sentence_transformer_with_lora_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…rs/scripts/train_cross_encoder_distillation_example.py0surface the trackio dashboard url so the user can watch training live.STRING
HIGH…pts/train_sentence_transformer_distillation_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…ts/train_sentence_transformer_multi_dataset_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…sformers/scripts/train_sentence_transformer_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…ce-transformers/scripts/train_cross_encoder_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…ripts/train_sentence_transformer_matryoshka_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…ormers/scripts/train_cross_encoder_listwise_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…e-transformers/scripts/train_sparse_encoder_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…rain_sentence_transformer_make_multilingual_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…train_sentence_transformer_static_embedding_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…s/scripts/train_sparse_encoder_distillation_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…cripts/train_sentence_transformer_with_lora_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
HIGH…rs/scripts/train_cross_encoder_distillation_example.py0configure logging + tf32. tees to logs/{run_name}.log and silences http spam.STRING
Excessive Try-Catch Wrapping72 hits · 84 pts
SeverityFileLineSnippetContext
LOWscripts/run_skills_help.py51 except Exception as e:CODE
LOW…ingface-llm-trainer/references/local_training_macos.md110 except Exception:CODE
LOW…gface-llm-trainer/references/reliability_principles.md262except Exception as e:CODE
MEDIUM…gface-llm-trainer/references/reliability_principles.md264 print(f"Error: {e}")CODE
LOW…huggingface-llm-trainer/scripts/unsloth_sft_example.py453 except Exception as e:STRING
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py146except Exception as e:CODE
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py154except Exception as e:CODE
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py165except Exception as e:CODE
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py290except Exception as e:CODE
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py133except Exception as e:CODE
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py302except Exception as e:CODE
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py316 except Exception as e:CODE
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py411except Exception as e:STRING
LOW…s/huggingface-llm-trainer/scripts/dataset_inspector.py49 except Exception as e:CODE
LOW…s/huggingface-llm-trainer/scripts/dataset_inspector.py256 except Exception as e:CODE
LOW…s/huggingface-llm-trainer/scripts/dataset_inspector.py415 except Exception as e:CODE
MEDIUMskills/huggingface-llm-trainer/scripts/hf_benchmarks.py620 print("Error: provide dataset ids or use --stdin.", file=sys.stderr)CODE
MEDIUMskills/huggingface-llm-trainer/scripts/hf_benchmarks.py651 print(f"Error: {exc}", file=sys.stderr)CODE
MEDIUMskills/huggingface-llm-trainer/scripts/hf_benchmarks.py654 print(f"Error: {exc}", file=sys.stderr)CODE
LOWskills/huggingface-lora-space-builder/SKILL.md53 except Exception:CODE
LOWskills/huggingface-lora-space-builder/SKILL.md215 except Exception:CODE
LOW…ora-space-builder/references/zerogpu-and-publishing.md66 except Exception:CODE
LOW…ora-space-builder/references/zerogpu-and-publishing.md87except Exception as e:CODE
LOW…huggingface-community-evals/scripts/inspect_eval_uv.py30 except Exception:CODE
LOWskills/huggingface-spaces/references/zerogpu.md284except Exception as e:CODE
MEDIUM…s/huggingface-paper-publisher/scripts/paper_manager.py31 print(f"Error: Missing required dependency: {e}")CODE
MEDIUM…s/huggingface-paper-publisher/scripts/paper_manager.py63 print(f"Error: {e}")CODE
MEDIUM…s/huggingface-paper-publisher/scripts/paper_manager.py81 print(f"Error checking paper status: {e}")CODE
MEDIUM…s/huggingface-paper-publisher/scripts/paper_manager.py143 print(f"Error: {e}")CODE
LOW…s/huggingface-paper-publisher/scripts/paper_manager.py193 except Exception as e:CODE
MEDIUM…s/huggingface-paper-publisher/scripts/paper_manager.py194 print(f"Error linking paper: {e}")CODE
LOW…s/huggingface-paper-publisher/scripts/paper_manager.py379 except Exception as e:CODE
MEDIUM…s/huggingface-paper-publisher/scripts/paper_manager.py559 print("Error: Must provide --arxiv-id or --arxiv-ids")CODE
MEDIUM…s/huggingface-paper-publisher/scripts/paper_manager.py588 print(f"Error: {result['error']}")CODE
LOW…pts/train_sentence_transformer_distillation_example.py112 except Exception:CODE
LOW…pts/train_sentence_transformer_distillation_example.py296 except Exception:CODE
LOW…ts/train_sentence_transformer_multi_dataset_example.py116 except Exception:CODE
LOW…ts/train_sentence_transformer_multi_dataset_example.py251 except Exception:CODE
LOW…sformers/scripts/train_sentence_transformer_example.py87 except Exception:CODE
LOW…sformers/scripts/train_sentence_transformer_example.py220 except Exception:CODE
LOW…ce-transformers/scripts/train_cross_encoder_example.py74 except Exception:CODE
LOW…ce-transformers/scripts/train_cross_encoder_example.py246 except Exception:CODE
LOW…ripts/train_sentence_transformer_matryoshka_example.py68 except Exception:CODE
LOW…ripts/train_sentence_transformer_matryoshka_example.py205 except Exception:CODE
LOW…ormers/scripts/train_cross_encoder_listwise_example.py91 except Exception:CODE
LOW…ormers/scripts/train_cross_encoder_listwise_example.py275 except Exception:CODE
LOW…e-transformers/scripts/train_sparse_encoder_example.py74 except Exception:CODE
LOW…e-transformers/scripts/train_sparse_encoder_example.py230 except Exception:CODE
LOW…rain_sentence_transformer_make_multilingual_example.py82 except Exception:CODE
LOW…rain_sentence_transformer_make_multilingual_example.py129 except Exception as exc:CODE
LOW…rain_sentence_transformer_make_multilingual_example.py137 except Exception:CODE
LOW…rain_sentence_transformer_make_multilingual_example.py301 except Exception:CODE
LOW…train_sentence_transformer_static_embedding_example.py97 except Exception:CODE
LOW…train_sentence_transformer_static_embedding_example.py266 except Exception:CODE
LOW…s/scripts/train_sparse_encoder_distillation_example.py77 except Exception:CODE
LOW…s/scripts/train_sparse_encoder_distillation_example.py255 except Exception:CODE
LOW…cripts/train_sentence_transformer_with_lora_example.py130 except Exception:CODE
LOW…cripts/train_sentence_transformer_with_lora_example.py268 except Exception:CODE
LOW…rs/scripts/train_cross_encoder_distillation_example.py83 except Exception:CODE
LOW…rs/scripts/train_cross_encoder_distillation_example.py247 except Exception:CODE
12 more matches not shown…
Unused Imports44 hits · 44 pts
SeverityFileLineSnippetContext
LOWscripts/generate_agents.py12CODE
LOWscripts/build_skill_distribution.py16CODE
LOWscripts/generate_cursor_plugin.py19CODE
LOWscripts/plugin_versions.py8CODE
LOWscripts/build_skills_index.py8CODE
LOW…/huggingface-llm-trainer/scripts/train_grpo_example.py33CODE
LOWskills/huggingface-llm-trainer/scripts/hf_benchmarks.py17CODE
LOW…huggingface-community-evals/scripts/inspect_vllm_uv.py26CODE
LOW…huggingface-community-evals/scripts/inspect_eval_uv.py14CODE
LOW…ggingface-community-evals/scripts/lighteval_vllm_uv.py23CODE
LOW…hf-cloud-sagemaker-iam-preflight/scripts/check_role.py29CODE
LOW…f-cloud-sagemaker-iam-preflight/scripts/create_role.py21CODE
LOW…f-cloud-sagemaker-iam-preflight/scripts/create_role.py23CODE
LOW…s/huggingface-paper-publisher/scripts/paper_manager.py22CODE
LOW…s/huggingface-paper-publisher/scripts/paper_manager.py27CODE
LOW…-cloud-serving-image-selection/scripts/mirror_image.py19CODE
LOW…pts/train_sentence_transformer_distillation_example.py72CODE
LOW…n-sentence-transformers/scripts/mine_hard_negatives.py67CODE
LOW…ts/train_sentence_transformer_multi_dataset_example.py71CODE
LOW…sformers/scripts/train_sentence_transformer_example.py48CODE
LOW…ce-transformers/scripts/train_cross_encoder_example.py33CODE
LOW…ripts/train_sentence_transformer_matryoshka_example.py25CODE
LOW…ormers/scripts/train_cross_encoder_listwise_example.py45CODE
LOW…e-transformers/scripts/train_sparse_encoder_example.py32CODE
LOW…rain_sentence_transformer_make_multilingual_example.py38CODE
LOW…train_sentence_transformer_static_embedding_example.py52CODE
LOW…s/scripts/train_sparse_encoder_distillation_example.py39CODE
LOW…cripts/train_sentence_transformer_with_lora_example.py90CODE
LOW…rs/scripts/train_cross_encoder_distillation_example.py43CODE
LOW…ce-vision-trainer/scripts/sam_segmentation_training.py17CODE
LOW…ce-vision-trainer/scripts/sam_segmentation_training.py21CODE
LOW…ision-trainer/scripts/image_classification_training.py21CODE
LOW…ision-trainer/scripts/image_classification_training.py22CODE
LOW…ision-trainer/scripts/image_classification_training.py26CODE
LOW…huggingface-tool-builder/references/baseline_hf_api.py9CODE
LOWskills/hf-cloud-python-env-setup/scripts/setup_env.py14CODE
LOW…loud-sagemaker-production-defaults/scripts/teardown.py17CODE
LOW…-cloud-sagemaker-production-defaults/scripts/deploy.py15CODE
LOW…gemaker-production-defaults/scripts/invoke_endpoint.py23CODE
LOW…cloud-sagemaker-production-defaults/scripts/_common.py9CODE
LOWapps/hackers-leaderboard/app.py12CODE
LOWapps/hackers-leaderboard/collect_points.py17CODE
LOWapps/evals-leaderboard/collect_evals.py14CODE
LOWapps/evals-leaderboard/app.py12CODE
Structural Annotation Overuse18 hits · 33 pts
SeverityFileLineSnippetContext
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py158# Step 2: Save merged model temporarilyCOMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py169# Step 3: Install llama.cpp for conversionCOMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py281# Step 6: Upload to HubCOMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py121# Step 1: Load base model and adapterCOMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py199# Step 4: Convert to GGUF (FP16)COMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py223# Step 5: Quantize to different formatsCOMMENT
LOW…/huggingface-paper-publisher/examples/example_usage.md119# Step 1: Create research articleCOMMENT
LOW…/huggingface-paper-publisher/examples/example_usage.md126# Step 2: Edit the paper (use your favorite editor)COMMENT
LOW…/huggingface-paper-publisher/examples/example_usage.md129# Step 3: Submit to arXiv (external process)COMMENT
LOW…/huggingface-paper-publisher/examples/example_usage.md132# Step 4: Index on Hugging FaceCOMMENT
LOW…/huggingface-paper-publisher/examples/example_usage.md135# Step 5: Link to your models/datasetsCOMMENT
LOW…/huggingface-paper-publisher/examples/example_usage.md146# Step 6: Generate citation for READMECOMMENT
LOWskills/huggingface-best/SKILL.md22## Step 1: Parse the requestCOMMENT
LOWskills/huggingface-best/SKILL.md41## Step 2: Find relevant benchmark datasetsCOMMENT
LOWskills/huggingface-best/SKILL.md54## Step 3: Fetch top models from leaderboardsCOMMENT
LOWskills/huggingface-best/SKILL.md67## Step 4: Enrich with model metadataCOMMENT
LOWskills/huggingface-best/SKILL.md87## Step 5: Filter and rankCOMMENT
LOWskills/huggingface-best/SKILL.md102## Step 6: OutputCOMMENT
Decorative Section Separators8 hits · 33 pts
SeverityFileLineSnippetContext
MEDIUM…ce-vision-trainer/scripts/sam_segmentation_training.py45# ---------------------------------------------------------------------------COMMENT
MEDIUM…ce-vision-trainer/scripts/sam_segmentation_training.py47# ---------------------------------------------------------------------------COMMENT
MEDIUM…ce-vision-trainer/scripts/sam_segmentation_training.py144# ---------------------------------------------------------------------------COMMENT
MEDIUM…ce-vision-trainer/scripts/sam_segmentation_training.py146# ---------------------------------------------------------------------------COMMENT
MEDIUM…ce-vision-trainer/scripts/sam_segmentation_training.py156# ---------------------------------------------------------------------------COMMENT
MEDIUM…ce-vision-trainer/scripts/sam_segmentation_training.py158# ---------------------------------------------------------------------------COMMENT
MEDIUM…ce-vision-trainer/scripts/sam_segmentation_training.py228# ---------------------------------------------------------------------------COMMENT
MEDIUM…ce-vision-trainer/scripts/sam_segmentation_training.py230# ---------------------------------------------------------------------------COMMENT
Hyper-Verbose Identifiers22 hits · 22 pts
SeverityFileLineSnippetContext
LOWscripts/generate_agents.py158def build_internal_marketplace(skills: list[dict[str, str]]) -> dict:CODE
LOWscripts/generate_agents.py190def write_internal_marketplace(skills: list[dict[str, str]]) -> None:CODE
LOWscripts/generate_agents.py257def validate_external_marketplace(skills: list[dict[str, str]], path: Path) -> list[str]:CODE
LOWscripts/generate_agents.py315def validate_internal_marketplace(skills: list[dict[str, str]]) -> list[str]:CODE
LOWscripts/generate_cursor_plugin.py79def build_cursor_plugin_manifest() -> dict:CODE
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py50def check_system_dependencies():CODE
LOWskills/transformers-js/references/EXAMPLES.md383export function EmbeddingGeneratorWithProgress() {CODE
LOW…huggingface-community-evals/scripts/inspect_eval_uv.py24def _inspect_evals_tasks_root() -> Optional[Path]:CODE
LOW…ainer/references/object_detection_training_notebook.md238>>> def format_image_annotations_as_coco(image_id, categories, areas, bboxes):CODE
LOW…ainer/references/object_detection_training_notebook.md275>>> def augment_and_transform_batch(examples, transform, image_processor, return_pixel_mask=False):CODE
LOW…ainer/references/object_detection_training_notebook.md381>>> def convert_bbox_yolo_to_pascal(boxes, image_size):CODE
LOW…uggingface-vision-trainer/scripts/dataset_inspector.py243def check_image_classification_compatibility(columns: List[str], sample_rows: List[Dict], features: List[Dict]) -> Dict[CODE
LOW…uggingface-vision-trainer/scripts/dataset_inspector.py296def check_object_detection_compatibility(columns: List[str], sample_rows: List[Dict]) -> Dict[str, Any]:CODE
LOW…uggingface-vision-trainer/scripts/dataset_inspector.py329def 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.py64def format_image_annotations_as_coco(CODE
LOW…ce-vision-trainer/scripts/object_detection_training.py99def detect_bbox_format_from_samples(dataset, image_col="image", objects_col="objects", num_samples=50):CODE
LOW…ce-vision-trainer/scripts/object_detection_training.py213def convert_bbox_yolo_to_pascal(boxes: torch.Tensor, image_size: tuple[int, int]) -> torch.Tensor:CODE
LOW…ce-vision-trainer/scripts/object_detection_training.py239def augment_and_transform_batch(CODE
LOW…-sagemaker-production-defaults/scripts/deploy_async.py62def create_async_endpoint_config(CODE
LOW…-sagemaker-production-defaults/scripts/deploy_async.py127def register_async_autoscaling(CODE
LOWapps/hackers-leaderboard/collect_points.py215 def _fetch_member_discussions(CODE
LOWapps/hackers-leaderboard/collect_points.py260 def _fetch_discussion_comments(CODE
Deep Nesting17 hits · 17 pts
SeverityFileLineSnippetContext
LOWscripts/generate_agents.py41CODE
LOWscripts/build_skill_distribution.py149CODE
LOWscripts/build_skills_index.py93CODE
LOWscripts/build_skills_index.py265CODE
LOW…huggingface-llm-trainer/scripts/unsloth_sft_example.py215CODE
LOW…s/huggingface-llm-trainer/scripts/dataset_inspector.py128CODE
LOW…s/huggingface-llm-trainer/scripts/dataset_inspector.py186CODE
LOWskills/huggingface-llm-trainer/scripts/hf_benchmarks.py126CODE
LOWskills/huggingface-llm-trainer/scripts/hf_benchmarks.py213CODE
LOWskills/huggingface-llm-trainer/scripts/hf_benchmarks.py261CODE
LOW…s/huggingface-paper-publisher/scripts/paper_manager.py485CODE
LOW…uggingface-vision-trainer/scripts/dataset_inspector.py122CODE
LOW…uggingface-vision-trainer/scripts/dataset_inspector.py243CODE
LOW…uggingface-vision-trainer/scripts/dataset_inspector.py329CODE
LOW…uggingface-vision-trainer/scripts/dataset_inspector.py522CODE
LOW…uggingface-vision-trainer/scripts/dataset_inspector.py546CODE
LOWapps/evals-leaderboard/collect_evals.py265CODE
Over-Commented Block13 hits · 12 pts
SeverityFileLineSnippetContext
LOW…/huggingface-llm-trainer/references/gguf_conversion.md61### 3. ✅ Include All DependenciesCOMMENT
LOW…gface-llm-trainer/references/reliability_principles.md161# ///COMMENT
LOW…huggingface-llm-trainer/scripts/unsloth_sft_example.py1# /// scriptCOMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py1#!/usr/bin/env python3COMMENT
LOW…s/huggingface-llm-trainer/scripts/train_sft_example.py1#!/usr/bin/env python3COMMENT
LOW…train_sentence_transformer_static_embedding_example.py1#!/usr/bin/env python3COMMENT
LOW…cripts/train_sentence_transformer_with_lora_example.py1#!/usr/bin/env python3COMMENT
LOW…ls/huggingface-vision-trainer/references/hub_saving.md421```COMMENT
LOW…ce-vision-trainer/references/reliability_principles.md141### How to ApplyCOMMENT
LOW…ce-vision-trainer/scripts/sam_segmentation_training.py1# /// scriptCOMMENT
LOW…ision-trainer/scripts/image_classification_training.py1# /// scriptCOMMENT
LOW…ce-vision-trainer/scripts/object_detection_training.py1# /// scriptCOMMENT
LOWskills/hf-cloud-python-env-setup/requirements.txt1# Core AWS dependencies for SageMaker deployment.COMMENT
Verbosity Indicators6 hits · 11 pts
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LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py158# Step 2: Save merged model temporarilyCOMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py169# Step 3: Install llama.cpp for conversionCOMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py281# Step 6: Upload to HubCOMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py121# Step 1: Load base model and adapterCOMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py199# Step 4: Convert to GGUF (FP16)COMMENT
LOW…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py223# Step 5: Quantize to different formatsCOMMENT
Cross-Language Confusion3 hits · 10 pts
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HIGH…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py70 print(" macOS: xcode-select --install && brew install cmake")CODE
HIGH…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py27- Ubuntu/Debian: sudo apt-get update && sudo apt-get install -y build-essential cmakeSTRING
HIGH…lls/huggingface-llm-trainer/scripts/convert_to_gguf.py29- macOS: xcode-select --install && brew install cmakeSTRING
Redundant / Tautological Comments6 hits · 9 pts
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LOW…s/huggingface-paper-publisher/scripts/paper_manager.py68 # Check if paper existsCOMMENT
LOW…s/huggingface-paper-publisher/scripts/paper_manager.py217 # Check if YAML frontmatter existsCOMMENT
LOW…uggingface-vision-trainer/scripts/dataset_inspector.py150 # Check if it's a list of annotations or a dictCOMMENT
LOW…uggingface-vision-trainer/scripts/dataset_inspector.py464 # Check if format conversion is neededCOMMENT
LOW…ngface-tool-builder/references/find_models_by_paper.sh93# 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.sh133# Check if we got a valid responseCOMMENT
Modern Structural Boilerplate6 hits · 6 pts
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LOWscripts/plugin_versions.py74def set_nested(data: dict[str, Any], keys: tuple[str, ...], value: str) -> None:CODE
LOWscripts/plugin_versions.py119def set_all_versions(version: str) -> None:CODE
LOW…huggingface-llm-trainer/scripts/unsloth_sft_example.py55logger = logging.getLogger(__name__)CODE
LOW…ce-vision-trainer/scripts/sam_segmentation_training.py40logger = logging.getLogger(__name__)CODE
LOW…ision-trainer/scripts/image_classification_training.py55logger = logging.getLogger(__name__)CODE
LOW…ce-vision-trainer/scripts/object_detection_training.py50logger = logging.getLogger(__name__)CODE
AI Slop Vocabulary1 hit · 3 pts
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MEDIUM…hf-cloud-sagemaker-iam-preflight/scripts/check_role.py83 # and is robust to single/list Principal.Service shapes.COMMENT
Modern AI Meta-Vocabulary1 hit · 3 pts
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MEDIUM…cloud-sagemaker-production-defaults/scripts/_common.py22# --tag-filters Key=CreatedBy,Values=agentic-deploy-skillsCOMMENT
AI Structural Patterns2 hits · 2 pts
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LOW…huggingface-community-evals/scripts/inspect_vllm_uv.py43CODE
LOW…ggingface-community-evals/scripts/lighteval_vllm_uv.py40CODE
Fake / Example Data2 hits · 2 pts
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LOWskills/huggingface-gradio/examples.md14 return gr.Textbox(lines=8, visible=True, value="Lorem ipsum dolor sit amet")CODE
LOWskills/huggingface-gradio/examples.md14 return gr.Textbox(lines=8, visible=True, value="Lorem ipsum dolor sit amet")CODE