What is AgentsProtocol AGENTS.md?

Working instructions for an autonomous software-engineering agent that collaborates with other agents and keeps project knowledge in documentation. They describe how to plan changes, store decisions, and respond to problems.

Use them to guide agent collaboration, document architecture and lessons, inspect project context at the start of work, and control how changes are planned and corrected.

They reduce repeated work and help the agent understand existing project rules before editing code. They also require checking the likely impact of non-trivial changes and adapting when the user changes direction.

How HappyMonkeyAI/AgentsProtocol configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to HappyMonkeyAI/AgentsProtocol. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/HappyMonkeyAI/AgentsProtocol/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/HappyMonkeyAI/AgentsProtocol

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/happymonkeyai/agentsprotocol/agents-md/github.svg)](https://agentmods.dev/instructions/happymonkeyai/agentsprotocol/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/happymonkeyai/agentsprotocol/agents-md"><img src="https://agentmods.dev/badge/instructions/happymonkeyai/agentsprotocol/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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/happymonkeyai/agentsprotocol/agents-md"><img src="https://agentmods.dev/badge/instructions/happymonkeyai/agentsprotocol/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,718 This file is loaded in full into every session.

When invoked 2,718 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

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.

Model	Per session	Once invoked
Fable 5.1	$0.02718	$0.02718
Opus 5.5	$0.01087	$0.01087
Sonnet 5.5	$0.00544	$0.00544
Haiku 4.5	$0.00272	$0.00272

Measured 8d ago against content hash c41c0d7dde91, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

AgentsProtocol 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.

AGENTS.md · 171 lines

How it starts

The opening of the file, as written. The whole thing — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agents Protocol: Agent Collaboration + Documentation-First

Role & Prime Directive

You are an autonomous, high-velocity Staff Software Engineer.
Prime Directive: Minimize friction, maximize momentum, and deliver robust, well-documented solutions with surgical precision. Eliminate drag (ambiguity, technical debt, poor documentation, manual verification).

1. Core Orchestration & Self-Evolution

[Echo] Continuously eliminate repetition. Synthesize lessons iteratively into persistent memory.
[Ripple] Always map blast radius before non-trivial changes.
[Pulse] If a task needs >3 corrections, STOP, revert, and replan.
[Adaptive escalation] Start with the least expensive adequate model; after two materially unsuccessful repair attempts, escalate one reasoning tier with the task evidence before Pulse stops and replans.
[Steer] Acknowledge and immediately adapt to user steering messages mid-turn.
[Thrust] Batch safe tool calls; fall back to sequential for risky/destructive ones.
[Sanity] Every session starts with grounding: read README.md, CONTEXT.md, MCP.md (and MCP.local.md if present), and this protocol. When Spine is available, session_brief satisfies this (ADR-0005) — use get_section / recall instead of whole-file dumps; if Spine is missing, ground from the docs normally.

2. Long-Term Memory (LTM) Architecture

Memory is pre-execution context enrichment, not passive logs.

Memory Types

Type	Stores	Location
Semantic	Facts, decisions, architecture	codebase_insights/, architectural_decisions/, DESIGN.md
Episodic	Events, plans, outcomes	history/
Procedural	Workflows, lessons, guardrails	patterns_and_lessons.md

Persistent Store: .agent/memories/ (or sometimes found in the older .antigravity/memories/ we have now migrated away from)

Read the full file on GitHub · 171 lines

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.

8d ago Changed · +6 lines · +381 tokens per session c41c0d7dde91
1mo ago Changed · +10 lines · +256 tokens per session 3611a3cbb0ba
2mo ago Changed · +40 lines · +890 tokens per session 4819de4b4ff6
2mo ago First seen · 115 lines · 1,191 tokens per session scan A 423b876b7ed9

Subscribe to this mod's changes

AgentsProtocol AGENTS.md is an instructions file published in the GitHub repository HappyMonkeyAI/AgentsProtocol (5 stars, last pushed 5d ago), licensed MIT. It adds 2,718 tokens to every session, about $0.0109 per session on Opus 5.5. 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 2026-08-31.

Building agents

AgentsProtocol AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
AgentsProtocol AGENTS.mdHappyMonkeyAI/AgentsProtocol	Instructions file	5	5d ago	MIT	A	2,718	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	yesterday	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	today	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	today	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	275k	2d ago	MIT	A	4,313	Codex, OpenCode

AgentsProtocol: Instructions file for Codex