repo-intake-and-plan

Reads a code repository's readme and files to figure out the simplest way to get it running and tested.

Installation
Run `npx skills add "https://github.com/lllllllama/rigorpilot-skills" --skill "repo-intake-and-plan"` to install this skill, then follow its SKILL.md instructions for my next request.

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SKILL.mdShow the author's original SKILL.md
---
name: repo-intake-and-plan
description: Rigor Intake helper for README-first deep learning repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
---

# repo-intake-and-plan

Use this as the Rigor Intake helper. The installed slug remains
`repo-intake-and-plan` for compatibility.

## When to apply

- At the beginning of README-first reproduction work.
- When the main skill needs a fast map of repo structure and documented commands.
- When inference, evaluation, and training candidates must be classified conservatively.
- When the user explicitly wants to inspect the repo first and not run anything yet.

## When not to apply

- When execution has already started and the task is now about running commands or writing outputs.
- When the target is not a repository-backed reproduction task.
- When the user only wants paper interpretation without repo inspection.
- When the user already has a selected documented command and only needs setup or execution.

## Clear boundaries

- This skill scans and plans.
- This skill is helper-tier and should usually be orchestrator-invoked.
- It does not install environments.
- It does not prepare large assets.
- It does not execute substantive reproduction commands.
- It does not decide high-risk patching.

## Input expectations

- Target repository path.
- Access to README and common project files if present.
- Optional user hints about desired priority, such as inference-first.

## Output expectations

- concise repo structure summary
- documented command inventory
- inferred candidate categories: inference, evaluation, training, other
- minimum trustworthy reproduction recommendation
- notable ambiguity or risk list

## Notes

Use `references/repo-scan-rules.md` and helper scripts under `scripts/`.

Ships with 4 supporting files:

  • agents/openai.yaml
  • references/repo-scan-rules.md
  • scripts/extract_commands.py
  • scripts/scan_repo.py

Mirrored from the author's public source. Install counts from the open skills registry.

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