Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/moshthepitt/lionclaw/agents-mdgit clone --depth 1 https://github.com/moshthepitt/lionclawWrote 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/moshthepitt/lionclaw/agents-md)<a href="https://agentmods.dev/instructions/moshthepitt/lionclaw/agents-md"><img src="https://agentmods.dev/badge/instructions/moshthepitt/lionclaw/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 | $0.00747 | $0.00747 |
| Opus 5 | $0.00374 | $0.00374 |
| Sonnet 5 | $0.00149 | $0.00149 |
| Haiku 4.5 | $0.00075 | $0.00075 |
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 6d 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 — 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 --useris 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.
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.
- 6d ago First seen · 62 lines · 747 tokens per session scan A 0ec5e17f8b0a
lionclaw AGENTS.md is an instructions file published in the GitHub repository moshthepitt/lionclaw (16 stars, last pushed 4d ago), licensed MIT. It adds 747 tokens to every session, about $0.0037 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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