Borrowing it
Nothing to install: this file belongs to lllllllama/RigorPilot-Skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lllllllama/RigorPilot-Skills/main/AGENTS.mdgit clone --depth 1 https://github.com/lllllllama/RigorPilot-SkillsWrote 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.
[](https://agentmods.dev/instructions/lllllllama/rigorpilot-skills/agents-md)<a href="https://agentmods.dev/instructions/lllllllama/rigorpilot-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/lllllllama/rigorpilot-skills/agents-md.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00799 | $0.00799 |
| Opus 5 | $0.00400 | $0.00400 |
| Sonnet 5 | $0.00160 | $0.00160 |
| Haiku 4.5 | $0.00080 | $0.00080 |
Grade A, and why
RigorPilot-Skills AGENTS.md 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 8d ago.
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.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — RigorPilot Skills
Guidance for any coding or research agent (OpenAI Codex, Cursor, GitHub
Copilot, Gemini CLI, Claude Code, and other AGENTS.md-aware tools) working in
or with this repository. Skills here follow the
Agent Skills open standard; each
skills/<slug>/SKILL.md is the canonical, model-agnostic contract.
What this project is
RigorPilot Skills is a research-first Agent Skills repository for deep learning
experiments. It keeps AI-assisted research grounded in comparability,
reproducible evidence, and auditable changes while an agent reproduces,
improves, or explores a research repository. The flagship output is the
annotated README: repro_outputs/ANNOTATED_README.md replays the target
repository's README verbatim with a color-coded, evidence-linked account of
what the agent did in each section.
Using the skills on a research repository
- Default to the trusted lane. Ambiguous requests route to reproduction, setup, conservative execution, training verification, analysis, or safe debugging — never to exploration.
- Read
skills/<slug>/SKILL.mdbefore acting; it defines fit, boundaries, workflow, and the output contract for that skill. - Entrypoints by intent:
| Intent | Skill slug |
|---|---|
| Reproduce from README commands | ai-research-reproduction |
| Read-only repository analysis | analyze-project |
| Environment / dataset / weights setup | env-and-assets-bootstrap |
| Conservative documented run | minimal-run-and-audit |
| Conservative training verification | run-train |
| Diagnose-before-patch debugging | safe-debug |
| Candidate-only exploration (explicit authorization required) | ai-research-explore |
- In the explore lane, follow
references/research-thinking-loop.md: a greedy, evidence-anchored cycle (observe → ground → hypothesize → single-variable design → bounded run → fair compare → keep or roll back → record). - Consult
~/.rigorpilot/PERSONAL_RIGOR.mdif present, underreferences/continuous-learning-policy.md— advisory only; it never relaxes rigor gates and the repository always wins on conflict. - Write evidence bundles to the documented output directories
(
repro_outputs/,train_outputs/,analysis_outputs/,debug_outputs/,explore_outputs/). Never claim success without recorded evidence. - Never make silent semantic changes to a target repository; record every assumption, deviation, and blocker.
- Exploration is candidate-only and requires the researcher's explicit
authorization plus a durable
current_researchanchor.
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.
- 8d ago First seen · 77 lines · 799 tokens per session scan A 219fcd5eb985
RigorPilot-Skills AGENTS.md is an instructions file published in the GitHub repository lllllllama/RigorPilot-Skills (484 stars, last pushed yesterday), licensed MIT. It adds 799 tokens to every session, about $0.0040 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.