Borrowing it
Nothing to install: this file belongs to quochuy/ai-coord-mcp. 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/quochuy/ai-coord-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/quochuy/ai-coord-mcpWrote 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/quochuy/ai-coord-mcp/agents-md)<a href="https://agentmods.dev/instructions/quochuy/ai-coord-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/quochuy/ai-coord-mcp/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/quochuy/ai-coord-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/quochuy/ai-coord-mcp/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 | $0.01180 | $0.01180 |
| Opus 5.5 | $0.00472 | $0.00472 |
| Sonnet 5.5 | $0.00236 | $0.00236 |
| Haiku 4.5 | $0.00118 | $0.00118 |
Grade A, and why
ai-coord-mcp 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 2mo 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 — 85 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 (Claude Code, OpenCode, etc.) when working with code in this repository.
What this is
An MCP server that is a shared coordination layer between two independently-launched
AI coding assistants (Claude Code as coordinator, OpenCode as implementer, or any other
MCP-capable clients). It is not an orchestrator: it never launches, manages, or
talks to either AI process. It only exposes a task queue, a per-task message thread, and
progress reporting, persisted as JSON files under .ai/coordination/. See README.md for
the full tool reference, workflow conventions, and example session — don't duplicate
that here, read it when you need the tool list or JSON shapes.
Commands
pnpm install
pnpm run build # tsc -> dist/
pnpm run dev # tsx src/index.ts, no build step
pnpm test # node:test via tsx, runs every src/**/*.test.ts
Run a single test file: tsx --test src/storage/lock.test.ts. There's no separate
lint script.
Architecture
Transport is stdio, and that is a deliberate, load-bearing choice, not an oversight.
Each client (Claude Code, OpenCode) spawns its own copy of this server as a subprocess.
"The same MCP server" therefore means the same storage directory (COORDINATION_DIR
env var), not one running process — there is no shared memory between the two. This
constraint shapes most of the non-obvious code in src/storage/:
- Every read goes straight to disk (
readJsoninjson-file.ts) — there is no in-memory cache to go stale between the two processes. - Every write goes through temp-file-then-rename (
writeJsonAtomic) so a reader never observes a half-written file. src/storage/lock.tsis a cross-process mutex built onmkdir(atomic across OS processes, unlike an in-memory lock). Stale locks (crashed holder) are reclaimed after 10s; each holder writes a random ownership token so a holder that was merely slow (not dead) can't have its eventual release delete a lock someone else has since legitimately reclaimed — this ABA scenario is exactly whatlock.test.tsexercises.- Every task has a
versioncounter (optimistic concurrency) checked intask-store.ts'smutateTask— the one place all task mutations flow through.mutateTask's callback can returnfalseto declare a no-op (skip the version bump);update_progressrelies on this so repeated progress pings on an already-in_progresstask don't invalidate a caller'sexpected_version. - Task ids are validated against
/^task-\d{4,}$/(src/schemas.ts) before being joined into any filesystem path — ids are always server-generated, so anything else is rejected outright rather than risking path traversal. Message ids are random UUIDs (randomUUID()), not path components, so they don't need this check.
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.
- 2mo ago First seen · 85 lines · 1,180 tokens per session scan A 5f7e5c35d40b
ai-coord-mcp AGENTS.md is an instructions file published in the GitHub repository quochuy/ai-coord-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 1,180 tokens to every session, about $0.0047 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.
ai-coord-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ai-coord-mcp AGENTS.mdquochuy/ai-coord-mcp | Instructions file | 0 | 2mo ago | MIT | A | 1,180 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | 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 copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |