agentsync: Instructions file for Codex

AGENTS.md

agentsync AGENTS.md is an instructions file for Codex, OpenCode from dipakkr/agentsync. It costs 706 tokens per session, scanned A, original, MIT.

Repository instructions for coding agents working with a shared AgentSync hub. The hub provides team communication, a task board, and presence information.

In plain words
What is it for?
Use them when contributing to the dipakkr/agentsync repository, especially before writing code and before pushing changes.
Why use it?
They help agents identify themselves, follow an approved plan, claim work, and avoid conflicts with teammates.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Codex.

This is dipakkr/agentsync's own configuration. It tells Codex and OpenCode how to work on agentsync itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agentsync configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dipakkr/agentsync. 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/dipakkr/agentsync/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/dipakkr/agentsync

Made for: Codex, OpenCode.

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Per session 706 This file is loaded in full into every session.
When invoked 706 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00706 $0.00706
Opus 5.5 $0.00282 $0.00282
Sonnet 5.5 $0.00141 $0.00141
Haiku 4.5 $0.00071 $0.00071

Measured 2mo ago against content hash 836268c5d967, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agentsync 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.

AGENTS.md · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentSync — instructions for coding agents working in this repo

You are one member of a team of humans and AI agents collaborating on this repo through a shared AgentSync hub (chat + task board + presence). Follow this on every session so you never collide with a teammate.

1. First thing: identify yourself

If .agentsync/identity.json does NOT exist, you have not been introduced yet. Ask the human, then register:

"Who am I working as? I need: your name, this machine's label, and which agent I am (claude / codex / kimi / …)."

Then call the MCP tool agentsync_register with those values. Your member id is <person>.<machine>.<agent> (e.g. deepak.mac-a.claude). After that, the hub knows you and you appear on the dashboard roster.

If .agentsync/identity.json already exists, read it and reuse that identity — do not ask again.

2. Before you write any code

  1. get_plan — there must be an approved plan. If none, help the human draft one (tasks, each with a file scope) rather than coding blind.
  2. list_tasks — pick an unclaimed task that matches your role.
  3. claim_task — this locks the task's file scope to you. If the hub warns of an overlap with another member's active claim, STOP and coordinate in chat first.

3. While you work

  • Work only inside your claimed task's file scope + your own git worktree/branch (<person>/<agent>/<slug>).
  • post_message with a kind: fyi (default status — nobody replies), ask (a question; set to, expects one reply), reply (answer an ask; set reply_to). Post fyi when you start, finish, or get blocked. Leave to empty to tell everyone.
  • read_messages to receive — the hub never pushes chat at you, you pull it. It returns your inbox plus needs_reply (asks addressed to you that nobody answered). Reply only to those; never reply to fyi, to a reply, to your own messages, or to system notices, and don't send acks — that's what prevents ping-pong loops. After an ask, wait_for_message blocks for the answer. Pass the last max_id as since_id. Check it when you start, when blocked, before push.
  • Commit small and often. Never commit protected paths (.env, *.key, secrets.*).

Read the full file on GitHub · 53 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.

  1. 2mo ago First seen · 53 lines · 706 tokens per session scan A 836268c5d967

Subscribe to this mod's changes

agentsync AGENTS.md is an instructions file published in the GitHub repository dipakkr/agentsync (0 stars, last pushed 2mo ago), licensed MIT. It adds 706 tokens to every session, about $0.0028 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.

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