Borrowing it
Nothing to install: this file belongs to caura-ai/caura-cross-fleet-gov. 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/caura-ai/caura-cross-fleet-gov/master/CLAUDE.mdgit clone --depth 1 https://github.com/caura-ai/caura-cross-fleet-govWrote 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/caura-ai/caura-cross-fleet-gov/claude-md)<a href="https://agentmods.dev/instructions/caura-ai/caura-cross-fleet-gov/claude-md"><img src="https://agentmods.dev/badge/instructions/caura-ai/caura-cross-fleet-gov/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>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.
<a href="https://agentmods.dev/instructions/caura-ai/caura-cross-fleet-gov/claude-md"><img src="https://agentmods.dev/badge/instructions/caura-ai/caura-cross-fleet-gov/claude-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01402 | $0.01402 |
| Opus 5 | $0.00701 | $0.00701 |
| Sonnet 5 | $0.00280 | $0.00280 |
| Haiku 4.5 | $0.00140 | $0.00140 |
Grade A, and why
caura-cross-fleet-gov CLAUDE.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 11d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What This Repo Is
A multi-agent governance demo showing MemClaw enforcing fleet-scoped memory boundaries across three OpenClaw agents. Three agents (sales, legal, admin) share one MemClaw tenant with three isolated fleet partitions. Fleet boundaries are query predicates at the storage layer - not prompt instructions - so data outside declared fleet_ids is never loaded, scored, or returned. For hard cross-domain isolation (cannot be bypassed at the prompt level), use separate tenants per domain or the managed service.
Prerequisites
- Node.js 24+
- Docker (to run MemClaw locally)
- OpenClaw CLI:
npm install -g openclaw@latest - LLM gateway API key for DeepSeek V3 (or any OpenAI-compatible model)
This repo defaults to a local MemClaw instance - no cloud account or API key required for MemClaw. Fleet partitions (fleet-org-shared, fleet-sales, fleet-legal) are created automatically on first write.
Environment Setup
# 1. Start MemClaw locally (clone the repo and use docker compose)
git clone https://github.com/caura-ai/caura-memclaw ~/caura-memclaw
cp ~/caura-memclaw/.env.example ~/caura-memclaw/.env
docker compose -f ~/caura-memclaw/docker-compose.yml up -d
# 2. Copy and configure env (only LLM_GATEWAY_API_KEY is required)
copy .env.example .env
# Fill in: LLM_GATEWAY_API_KEY (your LLM gateway key; MEMCLAW_API_KEY can stay blank for local deploy)
The .env variables are consumed by .openclaw/openclaw.json via ${VAR_NAME} interpolation. Default MEMCLAW_API_URL=http://localhost:8000 works out of the box; MEMCLAW_TENANT_ID is auto-resolved from the API key if left blank.
Gateway Commands
# First-time setup
openclaw onboard --install-daemon
# For any OpenAI-compatible endpoint:
openclaw onboard --non-interactive --accept-risk `
--custom-api-key "your-llm-gateway-key" `
--custom-base-url "https://your-gateway.example.com/v1" `
--custom-model-id "your-model-id"
openclaw doctor
# Normal operation
openclaw gateway restart
openclaw agents list --bindings # verify all three agents registered
openclaw dashboard # opens http://127.0.0.1:18789
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.
- 11d ago First seen · 111 lines · 1,402 tokens per session scan A ae11798e8940
caura-cross-fleet-gov CLAUDE.md is an instructions file published in the GitHub repository caura-ai/caura-cross-fleet-gov (75 stars, last pushed 18d ago), licensed MIT. It adds 1,402 tokens to every session, about $0.0070 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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