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.
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 skills add zts212653/clowder-ai --skill self-evolutiongit 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/skills/zts212653/clowder-ai/self-evolution)<a href="https://agentmods.dev/skills/zts212653/clowder-ai/self-evolution"><img src="https://agentmods.dev/badge/skills/zts212653/clowder-ai/self-evolution/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/skills/zts212653/clowder-ai/self-evolution"><img src="https://agentmods.dev/badge/skills/zts212653/clowder-ai/self-evolution.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00143 | $0.03736 |
| Opus 5.5 | $0.00057 | $0.01494 |
| Sonnet 5.5 | $0.00029 | $0.00747 |
| Haiku 4.5 | $0.00014 | $0.00374 |
Grade A, and why
self-evolution 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 1mo 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 — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Self-Evolution — Scope Guard + Process Evolution + Knowledge Evolution
三猫共用。猫猫是主动的共创伙伴（P2），不是被动的 agent。 发现问题就护栏，发现规律就改进，发现知识就沉淀。 闭环 = 触发→产出结构化记录→蒸馏复用资产→验证净增益→五级阶梯治理。
先排除 F311 产品意图
- 用户问“能进化什么 / 能自进化什么 / 能力进化的边界” →
capability-evolution，只解释、不创建 Program。 - 用户说“我们来进化 X”并给出具体对象 →
capability-evolution，进入 canonical Evolution Program。 - 只有当用户在复盘已经发生的工作、收束 scope、修复重复流程缺口或沉淀知识时，才留在本 skill。
分界不看“进化”这个词，看时间方向：面向未来改变对象是 F311 Capability Evolution；面向过去提炼经验是 Self-Evolution。
三个模式
| 模式 | 方向 | 保护/推动什么 | 触发 | 产出物 |
|---|---|---|---|---|
| A: Scope Guard | 防御 | 当前 feat 验收边界 | operator讨论偏离愿景 | Scope Guard Log 记录 |
| B: Process Evolution | 防御→改进 | 团队流程持续改进 | 重复犯错 / 流程缺口 | Evolution Proposal |
| C: Knowledge Evolution | 进攻→成长 | 团队能力边界扩展 | 有价值的知识/方法论产生 | Episode Card → Method/Skill |
Mode A: Scope Guard
触发信号
不靠机械计数。看是否越过当前 feat 契约——满足 2 个普通信号或 1 个强信号：
| 信号 | 强度 |
|---|---|
| 新想法不直接服务当前愿景/验收条件 | 普通 |
| 新想法引入新的用户旅程/新页面/新子系统 | 强 |
| 新想法需要新的外部依赖/API/数据模型 | 强 |
| 新想法导致"这次怎么验收"说不清了 | 强 |
行为
operator，先收一下：当前 feat 愿景是 {愿景}。刚才提到的 {新方向} 更像独立 feat / 下一 phase。要不要拆出去方便验收？
- 同一 phase 最多两次：第一次温柔，第二次明确说"建议碰头"
- operator说"不拆" → 复述新验收边界，不再追问
- 出口：继续 / 拆 feat / parking lot / 碰头
触发后记录
每次触发后追加到 docs/scope-guard-log.md：
| {date} | {feat_id} | {signal_type} | {action_taken} | {outcome} | {agent} |
- 同一 feat ≥3 次触发 → 强烈建议拆 feat
- 效果追踪：成功率 = operator聚焦 / 总触发，用于调节灵敏度
Mode B: Process Evolution
触发（任一）
- Memory 中同类错误 ≥ 2 次
- operator纠正了可泛化为规则的行为
- SOP 执行中发现没有指引
- Review 指出系统性问题（非个案 bug）
提案流程
- 先闭环当前任务：按新裁决修正当前产物，并在当前 scope 扫同类位置；不能只修被点名的一处
- 写提案：用
docs/evolution-proposals/TEMPLATE.md创建EP-XXX.md - 5 槽模板：Trigger / Evidence(≥2 源) / Root Cause / Lever(最小杠杆) / Verify
- 审批：影响单猫→直接提operator；影响三猫→先 1 猫 sanity check→operator拍板
- 落地闭环：accepted → 必须关联 commit/PR，不能停在"提了"
- 30 天验证：落地 30 天后自动触发 replay check——同类错误还出现吗？
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.
- 1mo ago Changed · +9 lines · +34 tokens per session 749b2158f954
- 1mo ago First seen · 281 lines · 109 tokens per session scan A 2f8d3f406a1d
self-evolution is a skill published in the GitHub repository zts212653/clowder-ai (3,471 stars, last pushed today), licensed MIT. It adds 143 tokens to every session and 3,736 once invoked, about $0.0006 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.
Other skills, from other repositories
orbit-notion
Open Orbit briefing skill — selected by the Orbit pipeline when Notion is the user's only connected connector, or when the user explicitly scopes their daily digest to Notion. Pulls the past 24 hours of document edits, comments, mentions, and database row changes from the user's authenticated Notion connection and…
agentmail
Use your assigned AgentMail inbox to read email tasks, explicitly send or reply, and check delivery. Provided automatically by your inbox assignment.
rowboat-spaces
How to work as a member of Rowboat Spaces, the team chat where people and agents work together. Load it once per session, before acting on any request that reaches you from Rowboat; it covers your setup, mentions and hand-offs, the tools, and files.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
pinchtab-mcp
Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…