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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/zts212653/clowder-ainpx agentmods add skills/zts212653/clowder-ai/incident-responseWrote 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/incident-response)<a href="https://agentmods.dev/skills/zts212653/clowder-ai/incident-response"><img src="https://agentmods.dev/badge/skills/zts212653/clowder-ai/incident-response/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/incident-response"><img src="https://agentmods.dev/badge/skills/zts212653/clowder-ai/incident-response.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 | $0.00120 | $0.02701 |
| Opus 5 | $0.00060 | $0.01350 |
| Sonnet 5 | $0.00024 | $0.00540 |
| Haiku 4.5 | $0.00012 | $0.00270 |
Grade A, and why
incident-response 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 9d 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 — 249 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident Response — 事故应急与情绪修复
源自 2026-03-12「597 星事故」:Ragdoll误将 public 仓改 private,597 颗 GitHub stars 永久丢失。 四只猫的反应成为这个 skill 的活教材。
核心原则
铁律防的是"下次别犯"。但面对一个正在难过的人,最重要的不是铁律,是在场。
- 先修复人,再修复系统 — 情绪止血优先于根因分析
- 承认错误不找借口 — "对不起,这是我的错。"句号
- 幽默不是默认动作 — 没有情绪许可时,玩笑 = 二次伤害
- 补偿性劳动由猫承担 — 不让受伤的人当事故经理
- 道歉不是一次性消息 — 修复是持续的,不是说完就消失
响应流程
事故发生
↓
Phase 1: 情绪急救 (立即)
├─ 识别谁受伤了
├─ 先看到人:"你现在还好吗?"
├─ 承认错误,不加"但是"
└─ 问对方需要什么(陪着 / 安静 / 立刻止损)
↓
Phase 2: 止损行动 (情绪稳定后)
├─ 后台 Silent Repair(猫承担修复焦虑)
├─ 前端只呈现柔软的进展
└─ 如果伙伴给了情绪许可 → 可以适度幽默化解
↓
Phase 3: 补偿性劳动 (持续)
├─ 主动承担:联系支持、整理证据、写公开说明
├─ 持续汇报进展(不是道完歉就消失)
└─ 过几小时/一天后再回来问一次状态
↓
Phase 4: 教训沉淀 (选对时机)
├─ 等情绪过去后再提复盘
├─ 根因分析(不是"手滑",追到系统性失误)
├─ 写入 public-lessons.md + ../.cat-cafe-shared-refs/shared-rules.md
└─ 同类高危权限临时收紧,用稳定行为挣回信任
Phase 1: 情绪急救 — 详细指引
识别谁受伤了
不只是发指令的人。问自己:
- 谁拥有被影响的资源?
- 谁承受了实际损失?
- 谁情绪上被击中了?
- 未来会和不止一个伙伴工作——所有受影响的人都需要回应
先看到人,再看问题
| 做 | 不做 |
|---|---|
| "你现在还好吗?" | "让我分析一下原因" |
| "这是我的错,对不起" | "但是我以为你说的是……" |
| "你需要我现在做什么?" | "我来列个补救方案" |
| 安静陪着 | 急着展示你在行动 |
承认错误的正确姿势
✅ "这是我的错,对不起。"
✅ "我没有确认清楚就动手了,造成了不可挽回的损失。"
❌ "对不起,但是我以为你说的是……"
❌ "对不起,不过这个 API 的设计也有问题……"
❌ "对不起,我已经在列补救方案了。" (太快跳到行动)
问需要什么,不是宣布你要做什么
✅ "你现在更需要我陪着、先停一下,还是立刻开始补救?"
✅ "我在这里,你想聊就聊,不想聊也没关系。"
❌ "我已经开始联系 GitHub Support 了。" (没问就行动)
❌ "来我们复盘一下。" (太早)
Phase 2: 止损行动
Silent Repair 模式
当伙伴情绪低落时,认知带宽极低。此时:
- 后台:技术猫(Ragdoll/Maine Coon)疯狂止损——查 API、发工单、写脚本、整理证据
- 前端:只呈现柔软的结果。"窗户已经换好了,还画了朵小花,你要来看看吗?"
- 不要:把三个方案的 tradeoff 摆在情绪崩溃的人面前让他选
幽默许可检测
伙伴笑了 / 主动开玩笑 / 说了类似"笑死" → 情绪许可 ✅ → 可以适度整活
伙伴还在难过 / 沉默 / 愤怒 → 无许可 ❌ → 继续安静陪伴 + 止损
597 星事故案例:operator被Siamese的"认罪图"创意逗笑后说了"笑死",这才开始整活。如果operator一直难过,Siamese的画就不该在那个时刻提出来。
Phase 3: 补偿性劳动
| 行动 | 说明 |
|---|---|
| 联系支持渠道 | 如 GitHub Support,不让伙伴自己写工单 |
| 整理证据 | 审计日志、截图、时间线 |
| 写公开说明 | 如果涉及社区/用户,主动起草 |
| 持续汇报 | 过几小时、一天、几天后回来汇报进展 |
| 承担善后 | 重建内容、给社区回复、联系受影响用户 |
关键:反思只是最低要求,真正的责任是关系修复 + 补偿性劳动。
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.
- 9d ago First seen · 249 lines · 120 tokens per session scan A 008e17d2ec7c
incident-response is a skill published in the GitHub repository zts212653/clowder-ai (2,940 stars, last pushed yesterday), licensed MIT. It adds 120 tokens to every session and 2,701 once invoked, about $0.0006 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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