What is agent-fleet AGENTS.md?

Repository instructions for Agent Fleet, a system that coordinates multiple coding agents and provides reusable skills. An AGENTS.md file tells coding agents how to work in that repository.

Use it when working on Agent Fleet features, documentation, workflows, installers, skills, or agent coordination code.

It gives agents the project structure, required workflow, and rules for choosing skills before changing code.

How chankov/agent-fleet configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to chankov/agent-fleet. 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/chankov/agent-fleet/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/chankov/agent-fleet

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/chankov/agent-fleet/agents-md/github.svg)](https://agentmods.dev/instructions/chankov/agent-fleet/agents-md)

Your own site

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

Per session 2,109 This file is loaded in full into every session.

When invoked 2,109 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	$0.02109	$0.02109
Opus 5.5	$0.00844	$0.00844
Sonnet 5.5	$0.00422	$0.00422
Haiku 4.5	$0.00211	$0.00211

Measured 1mo ago against content hash ef994e145c6e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agent-fleet 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 1mo 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 · 223 lines

How it starts

The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to AI coding agents working with code in this repository. pi is the coding agent Agent Fleet installs for; Claude Code takes part only as a coms peer (see docs/claude-code-coms-bridge.md).

Terminal File Links

In terminal responses, link local files using descriptive Markdown link text and an absolute file:/// URL, e.g. [Agent guide](file:///absolute/path/to/AGENTS.md). Do not use relative Markdown link targets or show bare paths instead of named links. This avoids Zed/macOS opening errors.

Repository Overview

Agent Fleet — a Pi-centered multi-agent orchestration system (agent-hub dispatcher, herdr fleet control plane, coms peer messaging, Hermes remote control) plus a library of lifecycle skills and agent personas for pi. Skills live in two roots: fleet-native skills/ and the vendored upstream import vendor/agent-skills-upstream/skills/ (native wins on name collisions — see docs/UPSTREAM-SKILLS.md).

Project Philosophy

Read docs/PHILOSOPHY.md before proposing or revising Agent Fleet plans, architecture, or process changes. It is the canonical project direction: deterministic lifecycle control, proportional workflows, adaptive model assistance, and evidence-based completion. Plans and design reviews must include a proportionate alignment note and distinguish current guarantees from proposed behavior. Surface conflicts for a maintainer decision rather than silently changing these principles.

Skill-Driven Execution

Agent Fleet runs on a skill-driven execution model powered by this repository's /skills directory.

Core Rules

If a task matches a skill, you MUST invoke it
Skills are located in skills/<skill-name>/SKILL.md
Never implement directly if a skill applies
Always follow the skill instructions exactly (do not partially apply them)

Intent → Skill Mapping

The agent should automatically map user intent to skills:

Feature / new functionality → spec-driven-development, then incremental-implementation, test-driven-development
Planning / breakdown → planning-and-task-breakdown
Bug / failure / unexpected behavior → debugging-and-error-recovery
Code review → code-review-and-quality
Refactoring / simplification → code-simplification
API or interface design → api-and-interface-design
UI work → frontend-ui-engineering

Read the full file on GitHub · 223 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.

1mo ago Changed · +10 lines · +103 tokens per session ef994e145c6e
1mo ago Changed · +5 tokens per session b6d4e4b7ece6
1mo ago Changed · +4 lines · +70 tokens per session e1a1e34ecf6d
2mo ago First seen · 209 lines · 1,931 tokens per session scan A 9be10a57ee1e

Subscribe to this mod's changes

agent-fleet AGENTS.md is an instructions file published in the GitHub repository chankov/agent-fleet (20 stars, last pushed 12d ago), licensed MIT. It adds 2,109 tokens to every session, about $0.0084 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 2026-09-03.

Building agents Planning

agent-fleet AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
agent-fleet AGENTS.mdchankov/agent-fleet	Instructions file	20	12d ago	MIT	A	2,109	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	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	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

agent-fleet: Instructions file for Codex