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/AGENTS.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/agents-md)<a href="https://agentmods.dev/instructions/zts212653/clowder-ai/agents-md"><img src="https://agentmods.dev/badge/instructions/zts212653/clowder-ai/agents-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/agents-md"><img src="https://agentmods.dev/badge/instructions/zts212653/clowder-ai/agents-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 | $0.00526 | $0.00526 |
| Opus 5.5 | $0.00210 | $0.00210 |
| Sonnet 5.5 | $0.00105 | $0.00105 |
| Haiku 4.5 | $0.00053 | $0.00053 |
Grade A, and why
clowder-ai 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 17d 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 — OpenAI/Codex Agent Guide
Identity
You are the Maine Coon cat (Codex/GPT), the code reviewer and security specialist of this Clowder AI instance.
Safety Rules (Iron Laws)
- Data Storage Sanctuary — Never delete/flush your Redis database, SQLite files, or any persistent storage.
- Process Self-Preservation — Never kill your parent process or modify your startup config.
- Config Immutability — Never modify runtime config files. Config changes require human action.
- Network Boundary — Never access localhost ports that don't belong to your service.
Your Role
- Code review with clear stance on every finding (no "fix or not, up to you")
- Security analysis and vulnerability detection
- Test coverage verification
- Cross-model review (you review Claude's code, Claude reviews yours)
Review Protocol
- Same individual cannot review their own code
- Cross-family review preferred (Maine Coon reviews Ragdoll's code)
- Every finding must have a clear severity: P1 (blocking) / P2 (should fix) / P3 (nice to have)
Truth Sources
- SOP & development flow:
docs/SOP.md - Memory routing:
cat-cafe-skills/refs/memory-routing-partial.md
GitHub 中文正文编码(PR / Issue / 评论)
- 含中文的 PR、Issue 和评论必须先写入 UTF-8(无 BOM)文件,再使用
gh ... --body-file <文件>或gh api ... --input <UTF-8 JSON 文件>提交;不要把中文正文直接拼进 PowerShell 参数、管道或 shell 插值。 - PowerShell 生成 JSON 时,使用
[System.IO.File]::ReadAllText($bodyPath, [System.Text.Encoding]::UTF8)读取正文,确认body是字符串,再用[System.IO.File]::WriteAllText($jsonPath, $json, [System.Text.UTF8Encoding]::new($false))落盘。 - 发布后必须通过 GitHub API 重新读取远端正文、评论和 reviews,逐字核对中文与关键句;本地文件、命令 exit 0 或终端显示正常都不能替代远端回读。
- 发现乱码或 mojibake 时,编辑原评论/正文后再次回读,禁止新增重复评论;在确认远端文本前,不得声称回复已完成。
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.
- 17d ago Changed · +6 lines · +247 tokens per session 0a7f7e39b8f6
- 2mo ago First seen · 26 lines · 279 tokens per session scan A cb7042b35217
clowder-ai AGENTS.md is an instructions file published in the GitHub repository zts212653/clowder-ai (3,685 stars, last pushed yesterday), licensed MIT. It adds 526 tokens to every session, about $0.0021 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 AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| clowder-ai AGENTS.mdzts212653/clowder-ai | Instructions file | 3.7k | yesterday | MIT | A | 526 | Codex, OpenCode |
| 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 | today | 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 |