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analyze-project

by @lllllllamav
4.9(120)

This skill performs read-only analysis and auditing of deep learning research repositories. It helps users understand model structures, training/inference entry points, and configuration relationships, identifying potential insertion points or suspicious implementation patterns. This provides deep project insights without modifying code or running heavy tasks.

deep-learningcode-analysisrepository-auditmodel-understandingstatic-inspectionGitHub
Installation
npx skills add https://github.com/lllllllama/rigorpilot-skills --skill analyze-project
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Before / After Comparison

1 组
Before

Before this skill, developers manually sifted through extensive codebases, configurations, and documentation to grasp a deep learning project's structure, models, and training pipelines. This was time-consuming and often led to missed critical information, slowing project onboarding or introducing potential errors.

After

This skill rapidly performs read-only analysis of deep learning research repositories, automatically identifying model structures, training/inference entry points, and configuration relationships, while flagging suspicious patterns. This significantly reduces project comprehension time, boosting development efficiency and code quality.

SKILL.md

analyze-project

Use this as the Rigor Analyze / Rigor Audit read-only skill. The installed slug remains analyze-project for compatibility.

Use the shared operating principles in ../../references/agent-operating-principles.md; this skill should guide read-only analysis without constraining the model's project-specific reasoning.

When to apply

  • The user wants to understand a deep learning repository before changing it.
  • The user needs a map of model structure, training entrypoints, inference entrypoints, and config relationships.
  • The user wants conservative suggestions about likely insertion points or suspicious implementation patterns.
  • The user explicitly wants read-only analysis and not heavy execution.

When not to apply

  • When the main task is to execute a failing command or debug a traceback.
  • When the user wants environment setup or asset download only.
  • When the user wants speculative adaptation or broad exploratory patching.
  • When the task is a general literature summary without repository analysis.

Clear boundaries

  • This skill is read-mostly.
  • It may run lightweight static inspection helpers.
  • It does not patch repository code.
  • It does not own final reproduction outputs.
  • It should mark suspicious patterns as heuristics, not confirmed bugs.

Output expectations

  • analysis_outputs/SUMMARY.md
  • analysis_outputs/RISKS.md
  • analysis_outputs/status.json

Notes

Use references/analysis-policy.md and the shared references/research-pitfall-checklist.md.

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Statistics

Installs330.7K
Rating4.9 / 5.0
Version
Updated2026年10月23日
Comparisons1

User Rating

4.9(120)
5
37%
4
43%
3
13%
2
5%
1
2%

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Compatible Platforms

🤖claude-code

Timeline

Created2026年6月9日
Last Updated2026年10月23日
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