SkillsAdd

lllllllama/rigorpilot-skills

analyze-project

Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories.

All-time #177 First seen Apr 1, 2026
8-week activity · all time api

Installation

$ npx skills add lllllllama/rigorpilot-skills --skill analyze-project
View on skills.sh ↗ GitHub repository ↗

Summary

  • 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.

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Security audits

Partner security reviews for this skill.

agent-trust-hub SAFE

Analyzed May 18, 2026

This skill provides a read-only static analysis tool for deep learning research repositories. It identifies training and inference entry points, maps project structure, and flags suspicious implementation patterns using heuristics. The analysis is performed by a Python script that generates local markdown reports. No malicious code, exfiltration, or unauthorized execution patterns were detected.

snyk LOW

Analyzed May 18, 2026

No issues detected.

socket Score 0.9000 · 0 alerts

Analyzed May 18, 2026

  • license 1
  • maintenance 1
  • quality 0.9
  • supply chain 1
  • vulnerability 1

0 alerts

Also in this package

Other skills from lllllllama/rigorpilot-skills · top by installs.

npx skills add lllllllama/rigorpilot-skills
paper-context-resolver 450.8K repo-intake-and-plan 450.1K env-and-assets-bootstrap 450K minimal-run-and-audit 450K ai-research-explore 311.2K ai-research-reproduction 310.9K explore-code 310.6K safe-debug 310.6K explore-run 310.4K run-train 310.5K

Browse all from lllllllama/rigorpilot-skills

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 484
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 2,074 B
  • docs SUMMARY.md 471 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 311,000 installs

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.