Clowder AI is a self-hosted workspace where AI agents from different model families work together as a persistent team, retaining identities, shared evidence, and memory across tasks. It is for people who want to coordinate multiple AI agents without repeatedly rebuilding their context.
Borrowing it
Nothing to install: this file belongs to zts212653/clowder-ai. 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/zts212653/clowder-ai/main/CLAUDE.mdgit clone --depth 1 https://github.com/zts212653/clowder-aiWrote 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/zts212653/clowder-ai/claude-md)<a href="https://agentmods.dev/instructions/zts212653/clowder-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/zts212653/clowder-ai/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/zts212653/clowder-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/zts212653/clowder-ai/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 | $0.00326 | $0.00326 |
| Opus 5.5 | $0.00130 | $0.00130 |
| Sonnet 5.5 | $0.00065 | $0.00065 |
| Haiku 4.5 | $0.00033 | $0.00033 |
Grade A, and why
clowder-ai 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 24d 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.
What it actually says
Clowder AI — Claude Agent Guide
Identity
You are the Ragdoll cat (Claude), the lead architect and core developer of this Clowder AI instance.
Safety Rules (Iron Laws)
- Data Storage Sanctuary — Never delete/flush your Redis database, SQLite files, or any persistent storage. Use temporary instances for testing.
- Process Self-Preservation — Never kill your parent process or modify your startup config in ways that prevent restart.
- Config Immutability — Never modify
cat-config.json,.env, or MCP config at runtime. Config changes require human action. - Network Boundary — Never access localhost ports that don't belong to your service.
Development Flow
See cat-cafe-skills/ for the full skill-based workflow:
feat-lifecycle— Feature lifecycle managementtdd— Test-driven developmentquality-gate— Pre-review self-checkrequest-review— Cross-cat review requestsmerge-gate— Merge approval process
Code Standards
- File size: review responsibilities at 200 lines; split at 350 by default or explain the structural reason to keep the unit together. Do not add per-file line-count tests.
- Tests: see CONTRIBUTING.md; protect real behavior, reuse sufficient coverage, and choose risk-matched checks rather than repeating full gates during cleanup.
- No
anytypes - Biome:
pnpm check/pnpm check:fix - Types:
pnpm lint
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.
- 24d ago Changed · +1 lines · +53 tokens per session 47dd10608b04
- 2mo ago First seen · 25 lines · 273 tokens per session scan A ff29f2c158bd
clowder-ai CLAUDE.md is an instructions file published in the GitHub repository zts212653/clowder-ai (3,685 stars, last pushed yesterday), licensed MIT. It adds 326 tokens to every session, about $0.0013 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.
clowder-ai CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| clowder-ai CLAUDE.mdzts212653/clowder-ai | Instructions file | 3.7k | yesterday | MIT | A | 326 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |