Individual skill

analyze-project

Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and training or inference entrypoints, review configs and insertion points, or flag suspicious implementation patterns without modifying code or running heavy jobs. Do not use for active command execution, broad refactoring, speculative code adaptation, or automatic bug fixing.

skills/analyze-project/SKILL.md

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Matches the observed repository HEAD: Yes
Scanner rules are current: No
Repository scan complete: No
Skill scan complete: Yes
Observed behavior: Not checked yet
Last checked: Nov 5, 2026

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Repository context

Repository stars (not skill ratings): 486
Repository last updated: Sep 23, 2026
License: MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

agent-skills Repository topic
ai-agents Repository topic
deep-learning Repository topic
reproducibility Repository topic
research-tools Repository topic
security Derived category
research Derived category
education Derived category

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SKILL.mdcore · 2,074 bytes
agents/openai.yamlasset · 396 bytes
references/analysis-policy.mddoc · 545 bytes
scripts/analyze_project.pyruns · 25,957 bytes

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# 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
`../ai-research-reproduction/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.