zeroclaw: Instructions file for Codex

AGENTS.md

zeroclaw AGENTS.md is an instructions file for Codex, OpenCode from zeroclaw-labs/zeroclaw. It costs 946 tokens per session, scanned A, original, Apache-2.0.

Repository instructions for AI coding assistants working on ZeroClaw. They define project rules, including where to find architecture guidance and how to keep one authoritative source for each piece of data.

In plain words
What is it for?
Guiding code changes, choosing where new data belongs, following repository architecture, and checking safety rules before committing work.
Why use it?
They give coding agents consistent rules for changing the project safely and privately. This reduces duplicated state, hidden behavior changes, and accidental exposure of secrets or personal data.

Instructions file for CodexOpenCode

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

This is zeroclaw-labs/zeroclaw's own configuration. It tells Codex and OpenCode how to work on zeroclaw 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 zeroclaw configures →

About the project

ZeroClaw is a Rust-based runtime for running a personal AI assistant on a user's own machine, with connections to language-model providers, communication channels, and external tools. It is for people who want to operate an assistant across channels such as Discord, Telegram, email, voice, webhooks, or a command line while keeping control of its data and credentials. The catalogue add-ons provide workflows and agents for using ZeroClaw.

zeroclaw-labs/zeroclaw · 32,736 stars · on GitHub · zeroclawlabs.ai

Reuse

Borrowing it

Nothing to install: this file belongs to zeroclaw-labs/zeroclaw. 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/zeroclaw-labs/zeroclaw/master/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/zeroclaw-labs/zeroclaw

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.

agentmods badge for zeroclaw AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/zeroclaw-labs/zeroclaw/agents-md.svg)](https://agentmods.dev/instructions/zeroclaw-labs/zeroclaw/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/zeroclaw-labs/zeroclaw/agents-md"><img src="https://agentmods.dev/badge/instructions/zeroclaw-labs/zeroclaw/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 946 This file is loaded in full into every session.
When invoked 946 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 $0.00946 $0.00946
Opus 5 $0.00473 $0.00473
Sonnet 5 $0.00189 $0.00189
Haiku 4.5 $0.00095 $0.00095

Measured 8d ago against content hash 92e354b3cf8c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

zeroclaw 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 · 67 lines

How it starts

The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md - ZeroClaw

Core instructions for AI coding assistants working in this repository. Use docs/book/src/contributing/architecture-map.md to load only the references needed for a non-trivial task.

Single Source Of Truth

Do not duplicate state. Before adding a struct field, config entry, schema field, runtime cache, or parallel lookup table, identify the canonical source:

  1. If the new field creates the fact, state that explicitly.
  2. If the fact already exists, resolve it from that source at use time.

Prefer borrowed config, getters, resolver closures over live config, on-demand materialized views, or generated surfaces from one input. Do not snapshot live policy into long-lived handles. A restart-only snapshot is not a substitute for resolving canonical state.

Safety And Privacy

  • Never commit secrets, tokens, credentials, personal data, or real identities.
  • Do not weaken permissions, allowlists, sandboxing, approvals, or other trust boundaries without making the behavior and risk explicit.
  • New external surfaces default closed. Prefer allowlists to blocklists.
  • Do not hide behavior changes inside refactors or bypass failing checks.
  • Production paths must propagate errors. Avoid unwrap() and expect() unless a documented invariant makes panic impossible.
  • Do not suppress unused production code with underscore names or #[allow(dead_code)]; remove it, connect it, or track it. Underscore names remain valid for required but intentionally unused API, trait, or callback parameters.

Working Rules

  1. Read the owning module, factory wiring, adjacent tests, and relevant docs before editing.
  2. For architecture, config, security, workflow, governance, CI, release, or agent-assisted changes, start with docs/book/src/contributing/architecture-map.md.
  3. Name the source of truth before introducing state.
  4. Keep one concern per PR. Avoid unrelated cleanup and do not mix broad formatting changes with functional changes.
  5. Do not add heavy dependencies for minor convenience, speculative abstractions, or config keys and feature flags without a concrete use case.
  6. Add the smallest useful implementation and tests at the real behavior boundary.
  7. Validate at the change's risk level, report commands actually run, and document behavior, risk, side effects, and rollback.
  8. Use a non-master branch, open a PR to master, and never push directly to master.
  9. Use conventional commits and the full PR template. Prefer small PRs and do not add bot or AI attribution footers.
  10. Declare stacked work with Depends on #... and replacement work with Supersedes #....

Read the full file on GitHub · 67 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. 8d ago First seen · 67 lines · 946 tokens per session scan A 92e354b3cf8c

Subscribe to this mod's changes

zeroclaw AGENTS.md is an instructions file published in the GitHub repository zeroclaw-labs/zeroclaw (32,736 stars, last pushed today), licensed Apache-2.0. It adds 946 tokens to every session, about $0.0047 per session on Opus 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.

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