Research / AGENT SKILL
analyze-project
0
Inspects deep learning repositories, model structures, entrypoints, and configurations without modifying code or running heavy jobs.
The full skill.
Original instructions from the publisher’s 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 `../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. - 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 `../ai-research-reproduction/references/research-pitfall-checklist.md`.