agentmods.dev

analyze-project

analyze-project is a skill for Codex from lllllllama/RigorPilot-Skills. It costs 82 tokens per session (405 once invoked), scanned A, original, MIT.

A read-only inspection skill for deep-learning research repositories, which contain model, training, inference, and configuration code. It maps how the repository is organized and flags potentially suspicious implementation patterns.

In plain words
What is it for?
Use it to inspect model structure, entry points, configuration relationships, likely places for changes, and possible issues without modifying the code.
Why use it?
It helps a developer understand an unfamiliar research codebase before making changes, including where models are built and where training or inference starts.

Skill for Codex

Written for Codex: agents/openai.yaml present.

not rated 486repo +3 changed 4d ago A scan Socket: passSnyk: passSkillSpector: pass 82 tokens original MIT

Good fit Use it to inspect model structure, entry points, configuration relationships, likely places for changes, and possible issues without modifying the code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/lllllllama/rigorpilot-skills/analyze-project
View source ↗ lllllllama/RigorPilot-Skills
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add lllllllama/RigorPilot-Skills --skill analyze-project
Clone the repo
git clone --depth 1 https://github.com/lllllllama/RigorPilot-Skills

Made for: Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyze-project

README.md
[![agentmods](https://agentmods.dev/badge/skills/lllllllama/rigorpilot-skills/analyze-project/github.svg)](https://agentmods.dev/skills/lllllllama/rigorpilot-skills/analyze-project)
Your own site
<a href="https://agentmods.dev/skills/lllllllama/rigorpilot-skills/analyze-project"><img src="https://agentmods.dev/badge/skills/lllllllama/rigorpilot-skills/analyze-project/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analyze-project

Your own site · 80×15
<a href="https://agentmods.dev/skills/lllllllama/rigorpilot-skills/analyze-project"><img src="https://agentmods.dev/badge/skills/lllllllama/rigorpilot-skills/analyze-project.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 405 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • Socket pass 18 May 2026
  • Snyk pass 18 May 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00082 $0.00405
Opus 5 $0.00041 $0.00202
Sonnet 5 $0.00016 $0.00081
Haiku 4.5 $0.00008 $0.00040

Measured 4d ago against content hash 1fd9afebeb18, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

analyze-project scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/analyze_project.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

skills/analyze-project/SKILL.md · 46 lines

What it actually says

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.

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago Changed 1fd9afebeb18
  2. 11d ago First seen · 46 lines · 82 tokens per session scan A fc6b862ced23

Subscribe to this mod's changes

analyze-project is a skill published in the GitHub repository lllllllama/RigorPilot-Skills (486 stars, last pushed 3d ago), licensed MIT. It adds 82 tokens to every session and 405 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AIScientificagent-skillsai-agentsdeep-learningreproducibilityresearch-tools
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