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analyze-project — Claude Code skill: read a deep learning repo

Reads a deep learning repository and maps its structure, entrypoints and suspicious spots. Changes nothing, runs no heavy jobs.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓ 
npx skills add lllllllama/RigorPilot-Skills --skill analyze-project -a claude-code
Open on GitHub

What analyze-project does

The skill is read-mostly. It inspects code and never patches it. You get three files: analysis_outputs/SUMMARY.md, analysis_outputs/RISKS.md and analysis_outputs/status.json. Together they show how the model is built, where training and inference entrypoints live, and how the configs relate to each other.

It leans on shared agent operating principles from ../ai-research-reproduction/references/agent-operating-principles.md, an analysis policy in references/analysis-policy.md, and a research pitfall checklist. Lightweight static inspection helpers are allowed. Command execution and environment setup are not part of the job.

Suspicious patterns come back labelled as heuristics, not confirmed bugs. Keep that in mind before you treat a flag as a real defect. Debugging a failing command or a traceback is a different task, and so is broad refactoring or speculative patching. Final reproduction outputs stay outside this skill's scope.

What it helps with

  • understand an unfamiliar repository before touching it
  • map training and inference entrypoints
  • trace how configs connect and where insertion points sit
  • flag suspicious implementation patterns without editing code
  • get a summary and a risk list as separate files

Example prompts for the agent

  • Walk through this repo and show me the model structure and training entrypoints
  • Where do the configs live, and where would my module fit best?
  • Review the code and flag anything suspicious — no edits

How to install analyze-project

1Skills CLI (Vercel)

npx skills add lllllllama/RigorPilot-Skills --skill analyze-project -a claude-code

2Manually: put the files in place

~/.claude/skills/analyze-project/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/analyze-project/

From the same set9

The whole set →
repo-intake-and-plan lllllllama Scans a repository through its README and project files, then builds a small reproduction plan. Use it before running experiments. Claude Code CX Codex Cursor +1 474,500installs minimal-run-and-audit lllllllama Captures and normalizes execution evidence from deep learning smoke tests and inference commands into standardized repro_outputs/ files. Claude Code CX Codex Cursor +1 474,400installs env-and-assets-bootstrap lllllllama Prepares environment and checkpoint/dataset paths before the first run of a README-documented repo. Claude Code CX Codex Cursor +1 474,300installs ai-research-explore lllllllama Governs deep learning research exploration on top of an existing baseline. It isolates candidate experiments and generates structured comparison reports. Claude Code CX Codex Cursor +1 335,600installs ai-research-reproduction lllllllama This skill guides a repository-grounded reproduction run from its README to an evidence bundle. Use it to test a documented model run without quietly changing the experiment. Claude Code CX Codex Cursor +1 335,300installs explore-code lllllllama A skill for cautious code experiments in deep learning repositories: it transplants modules and adapts architectures on an isolated branch, with rollback-aware records. Claude Code CX Codex Cursor +1 335,000installs explore-run lllllllama Plans bounded exploratory machine learning runs with comparability caveats and saves summaries to explore_outputs. Claude Code CX Codex Cursor +1 334,700installs run-train lllllllama Runs a selected training command and organizes the resulting evidence. Use it for startup checks, short-run verification, full training kickoff, or resume handling. Claude Code CX Codex Cursor +1 334,700installs

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Questions about analyze-project

How do I install analyze-project in Claude?

Run npx skills add lllllllama/RigorPilot-Skills --skill analyze-project -a claude-code. The skill then sits at ~/.claude/skills/analyze-project/SKILL.md.

What does analyze-project do?

It reads a deep learning repository and describes its structure, entrypoints, config relationships and suspicious patterns. It does not modify code.

Can it debug a failing command?

No. Running commands and reading tracebacks is outside its scope — it is built for reading and flagging, not execution.

Source text

SKILL.md · MIT 
---
name: analyze-project
description: 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.
---

# 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`.

© lllllllama · MIT · lllllllama/RigorPilot-Skills

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