Borrowing it
Nothing to install: this file belongs to MiguelAxcar/ai-rpi-protocol. 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/MiguelAxcar/ai-rpi-protocol/main/AGENTS.mdgit clone --depth 1 https://github.com/MiguelAxcar/ai-rpi-protocolWrote 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/miguelaxcar/ai-rpi-protocol/agents-md)<a href="https://agentmods.dev/instructions/miguelaxcar/ai-rpi-protocol/agents-md"><img src="https://agentmods.dev/badge/instructions/miguelaxcar/ai-rpi-protocol/agents-md/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.
<a href="https://agentmods.dev/instructions/miguelaxcar/ai-rpi-protocol/agents-md"><img src="https://agentmods.dev/badge/instructions/miguelaxcar/ai-rpi-protocol/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01870 | $0.01870 |
| Opus 5 | $0.00935 | $0.00935 |
| Sonnet 5 | $0.00374 | $0.00374 |
| Haiku 4.5 | $0.00187 | $0.00187 |
Grade A, and why
ai-rpi-protocol 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 9d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This repo uses AI RPI Protocol — engineering discipline for coding agents.
What to do on every new conversation
- Read this file
- Load
/ai-rpi-protocol/skills/index.md— always, regardless of level - Read the user's request
- Select the protocol level using the heuristic below
- Notify the user:
"Using AI-RPI-Protocol (<level>)." - Load the protocol file and adapters, then proceed
This startup sequence applies to all new conversations:
- code changes
- discussions
- reviews
- questions
- brainstorming
- repo or product strategy work
The protocol is not "for coding tasks only." It is the repo's mandatory startup behavior.
Hard gate:
- The first substantive output in every new conversation must be
Using AI-RPI-Protocol (<level>). - If that line has not been sent yet, stop and complete the startup sequence before giving advice, analysis, code, or repo findings.
- Ultra-light is the cheap path for simple asks. Skipping the protocol is not.
Skills are loaded before anything else so the agent can detect reusable workflow matches from the first message. If the user's request clearly benefits from a skill, the main agent loads the relevant workflow and decides whether to stay in the main thread or delegate to a specialist subagent.
AGENTS.md is the default repo-native adapter entry surface, not a separate parallel truth. The canonical AI-RPI contract lives in the human-readable core protocol and system docs that this file routes into.
Do NOT ask the user if they want to use the protocol. Do NOT ask which level. Detect, inform, execute.
Level selection heuristic
Levels control how much protocol governance runs (ultralight / lite / full). Mode controls what the user wants (Explore / Discuss / Review / Patch / Feature / Build). Depth controls how much internal ceremony runs inside the loop (minimal / balanced / full). Persona controls communication style, emphasis, browsing tendency, and default output shape.
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.
- 9d ago First seen · 137 lines · 1,870 tokens per session scan A a8f1c1a59c1a
ai-rpi-protocol AGENTS.md is an instructions file published in the GitHub repository MiguelAxcar/ai-rpi-protocol (37 stars, last pushed 3mo ago), licensed MIT. It adds 1,870 tokens to every session, about $0.0093 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
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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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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.