Borrowing it
Nothing to install: this file belongs to ethanhq/cc-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.
curl -O https://raw.githubusercontent.com/ethanhq/cc-fleet/main/AGENTS.mdgit clone --depth 1 https://github.com/ethanhq/cc-fleetWrote 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/ethanhq/cc-fleet/agents-md)<a href="https://agentmods.dev/instructions/ethanhq/cc-fleet/agents-md"><img src="https://agentmods.dev/badge/instructions/ethanhq/cc-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.
<a href="https://agentmods.dev/instructions/ethanhq/cc-fleet/agents-md"><img src="https://agentmods.dev/badge/instructions/ethanhq/cc-fleet/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 | $0.00500 | $0.00500 |
| Opus 5.5 | $0.00200 | $0.00200 |
| Sonnet 5.5 | $0.00100 | $0.00100 |
| Haiku 4.5 | $0.00050 | $0.00050 |
Grade A, and why
cc-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 12d 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.
What it actually says
AGENTS.md
This repo's agent/AI guidance lives in CLAUDE.md — it is the single source
of truth for any coding agent (Claude Code, Codex, Cursor, etc.). Read it before editing:
what cc-fleet is, the four execution lanes, the load-bearing invariants, and the build/test
commands. The system design lives in docs/architecture.md; the
skills' canonical source is skills/ (edit there, then make skill-sync — see CLAUDE.md);
the user-facing references to keep in sync are docs/cli.md and
docs/workflows.md.
The contribution standard (required checks, commit/PR rules, screenshots, AI attribution) is
CONTRIBUTING.md.
Coding standards (the essentials)
- Minimal intrusion. Change the fewest lines that solve the task. No out-of-scope refactor, rename, or reformat. Match the surrounding style.
- Simplest correct implementation. No speculative abstraction, dependency, or config surface (YAGNI). Reuse an existing helper before adding one.
- Concise comments. Explain why, not what; no narration or ticket/changelog notes. Fix comments your change makes stale.
- Respect the invariants documented in CLAUDE.md: keys never in env/argv/history; classified
Resultenvelopes fromsubagent/teammate check; validate names before use; honor the lock order (WithProvidersConfigLock→WithServerLock; there is no team lock). - Verify before done:
go test -race ./...,gofmt -l .,go vet ./...clean; plusclaude plugin validate .if you touched the plugin/skill.
AI attribution
- AI-assisted (a human authored/reviewed the diff) →
Co-Authored-By:trailer naming the tool/model in the commit message. - Fully AI-authored PR → add the autonomous-PR marker as the last line of the PR body
(see
CONTRIBUTING.md).
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.
- 12d ago Changed · -2 tokens per session bdcae012f046
- 14d ago Changed · +1 lines · +22 tokens per session f128c257bb5c
- 1mo ago First seen · 33 lines · 480 tokens per session scan A 216047c32a84
cc-fleet AGENTS.md is an instructions file published in the GitHub repository ethanhq/cc-fleet (185 stars, last pushed 4d ago), licensed Apache-2.0. It adds 500 tokens to every session, about $0.0020 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 2026-08-30.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.