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.
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.
curl -O https://raw.githubusercontent.com/zeroclaw-labs/zeroclaw/master/AGENTS.mdgit clone --depth 1 https://github.com/zeroclaw-labs/zeroclawWrote 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/zeroclaw-labs/zeroclaw/agents-md)<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>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 | $0.00946 | $0.00946 |
| Opus 5 | $0.00473 | $0.00473 |
| Sonnet 5 | $0.00189 | $0.00189 |
| Haiku 4.5 | $0.00095 | $0.00095 |
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.
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:
- If the new field creates the fact, state that explicitly.
- 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()andexpect()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
- Read the owning module, factory wiring, adjacent tests, and relevant docs before editing.
- For architecture, config, security, workflow, governance, CI, release, or agent-assisted changes, start with
docs/book/src/contributing/architecture-map.md. - Name the source of truth before introducing state.
- Keep one concern per PR. Avoid unrelated cleanup and do not mix broad formatting changes with functional changes.
- Do not add heavy dependencies for minor convenience, speculative abstractions, or config keys and feature flags without a concrete use case.
- Add the smallest useful implementation and tests at the real behavior boundary.
- Validate at the change's risk level, report commands actually run, and document behavior, risk, side effects, and rollback.
- Use a non-
masterbranch, open a PR tomaster, and never push directly tomaster. - Use conventional commits and the full PR template. Prefer small PRs and do not add bot or AI attribution footers.
- Declare stacked work with
Depends on #...and replacement work withSupersedes #....
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.
- 8d ago First seen · 67 lines · 946 tokens per session scan A 92e354b3cf8c
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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