lionclaw: Instructions file for Codex

AGENTS.md

lionclaw AGENTS.md is an instructions file for Codex, OpenCode from moshthepitt/lionclaw. It costs 747 tokens per session, scanned A, original, MIT.

A repository guide for LionClaw, a local system that runs agent command-line tools inside a defined security boundary.

In plain words
What is it for?
Use it when implementing features, changing security or policy behavior, updating APIs, writing tests, or following LionClaw's verification and release process.
Why use it?
It tells contributors how to keep security checks explicit, behavior predictable, and API changes documented. TDD means writing a failing test, making it pass, then improving the code.

Instructions file for CodexOpenCode

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

This is moshthepitt/lionclaw's own configuration. It tells Codex and OpenCode how to work on lionclaw 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 lionclaw configures →

Reuse

Borrowing it

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

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Your own site
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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.

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Your own site · 80×15
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Per session 747 This file is loaded in full into every session.
When invoked 747 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 $0.00747 $0.00747
Opus 5.5 $0.00299 $0.00299
Sonnet 5.5 $0.00149 $0.00149
Haiku 4.5 $0.00075 $0.00075

Measured 2mo ago against content hash 0ec5e17f8b0a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

lionclaw 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 · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Purpose

This repository builds LionClaw as a secure-first local Claw: a small trusted kernel that runs real agent CLIs inside an explicit local boundary. Contributors (human or AI) should follow the workflow and quality gates below.

Source of Truth

  • Project overview: README.md
  • architecture and contracts: docs/ARCHITECTURE.md
  • manual acceptance: docs/MANUAL_QA.md
  • release process: docs/RELEASE.md
  • developer/CI smoke helpers: scripts/README.md

Working Rules

  • Prefer TDD when practical: RED -> GREEN -> REFACTOR.
  • Keep the core small, explicit, and auditable.
  • Preserve deterministic behavior in kernel decisions and policy checks.
  • Security boundaries are enforced by kernel code, not prompt instructions.
  • Channels are skills; do not bake external channels into core defaults.
  • Do not change API contracts silently; update docs in the same PR.
  • Keep code clean, simple, modern, idiomatic, and DRY.
  • If verification is blocked by sandbox DNS/connectivity issues, rerun the same command with approved escalation rather than adding non-standard local shims.

Implementation Discipline

  • Prefer durable, domain-oriented naming over temporary phase labels.
  • Encode validation intent in types and request/response contracts.
  • Keep module boundaries explicit (sessions, skills, policy, runtime, channels, audit).
  • Default to deny for capability checks unless explicit grants exist.
  • Treat policy and audit as first-class concerns for LionClaw-owned privileged actions and runtime boundary decisions.
  • Build tests as composable scenarios with reusable setup helpers.
  • When behavior changes, update tests and docs in the same change.

Product Lessons

  • LionClaw must have one obvious everyday command path.
  • Prefer one canonical confinement and runtime-auth path over parallel ways to do the same job.
  • lionclaw run [runtime] is the canonical interactive path.
  • Raw HTTP is for workers, tests, and debugging only; never document it as normal usage.
  • systemd --user is deployment/admin plumbing for background services and many channels, not the default local interactive path.
  • Runtime configuration must live in LionClaw state/config, not rely on accidental shell PATH or session env.
  • LionClaw owns the product entrypoint; runtimes are real agent harnesses behind it.
  • LionClaw owns the boundary, not every private tool step inside a program-backed runtime.
  • Channels remain external skills/workers; do not absorb transport logic into Rust core to paper over UX gaps.
  • Product-facing docs must be command-first and readable without architecture context.
  • Internal implementation names such as lionclawd, kernel, and raw HTTP APIs should appear in product docs only when operationally necessary.
  • The README first screen must explain LionClaw in user terms and avoid “not X / not Y” framing.
  • Product-facing docs should lead with the problem, the stance, and the command the reader runs.
  • The README should preserve the core thesis: Claws turn agents into assistants; LionClaw runs real agents under a small trusted core and explicit local boundary.

Read the full file on GitHub · 62 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 · 62 lines · 747 tokens per session scan A 0ec5e17f8b0a

Subscribe to this mod's changes

lionclaw AGENTS.md is an instructions file published in the GitHub repository moshthepitt/lionclaw (19 stars, last pushed 1mo ago), licensed MIT. It adds 747 tokens to every session, about $0.0030 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.

Related

lionclaw AGENTS.md compared with instructions from other repositories

lionclaw AGENTS.md next to 6 instructions from other repositories
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lionclaw AGENTS.mdmoshthepitt/lionclawInstructions file191mo agoMITA747Codex, OpenCode
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vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode