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 agentmods add skills/zts212653/clowder-ai/guide-authoringnpx skills add zts212653/clowder-ai --skill guide-authoringgit 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/guide-authoring)<a href="https://agentmods.dev/skills/zts212653/clowder-ai/guide-authoring"><img src="https://agentmods.dev/badge/skills/zts212653/clowder-ai/guide-authoring.svg" alt="Measured on agentmods" 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 | $0.00102 | $0.01928 |
| Opus 5 | $0.00051 | $0.00964 |
| Sonnet 5 | $0.00020 | $0.00386 |
| Haiku 4.5 | $0.00010 | $0.00193 |
Grade A, and why
guide-authoring 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 6d 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 — 194 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Guide Authoring
为 Console 已有功能编写引导流程的标准 SOP:场景识别 → YAML 编排 → 标签标注 → 注册发现 → 测试验证。
When to Use
- 需要为 Console 已有功能新增一条可触发的引导流程
- 需要维护
guides/flows/*.yaml、guides/tag-manifest.yaml、guides/registry.yaml - 需要给已有功能补引导标签或补 registry 发现规则
Not for:
- 用户正在实际使用引导流程时的交互处理,用
guide-interaction - Guide Engine / callback route / overlay 的代码实现与 bug 修复,用
tdd - 纯视觉稿、动效或高保真设计稿,用
pencil-design
核心知识
| 原则 | 说明 |
|---|---|
| 编排即产品 | Flow YAML 是终态产物,不是脚手架 |
| 页面零侵入 | 只加 data-guide-id 标签,不改业务逻辑 |
| 自动推进 | 用户操作即推进,无手动导航按钮(v2 KD-9) |
| 平台内聚焦 | 聚焦 Console 已有功能的引导(KD-13),外部平台配置改为独立页签 |
前置依赖:F155 Guide Engine Phase A 已验收。
流程
Step 1: 场景识别
确认需要引导的场景,产出"场景卡片":
# 场景卡片
scene_id: api-provider-setup
scene_name: 配置 API Provider
target_user: 新部署用户 / 需要配置 LLM 的团队
pain_point: Provider 配置字段多,不同 provider 参数差异大
complexity: medium # low / medium / high
estimated_steps: 4
estimated_time: 3min
related_features: [F155]
判断标准:
- complexity=high → 必须做引导
- complexity=medium → 评估用户卡点频率再定
- complexity=low → 不做引导,文档即可
Step 2: 步骤拆分 + YAML 编排
按 v2 自动推进模式编排,4 种 advance mode:
| advance | 用途 | 说明 |
|---|---|---|
click |
点击目标元素 | 用户点击后自动前进 |
visible |
目标元素出现 | 页面切换/展开后自动前进 |
input |
输入填充 | 用户填写输入框后前进 |
confirm |
操作确认 | 需要 guide:confirm 事件触发(如保存成功) |
Flow YAML 模板(v2 schema):
id: {scene_id}
name: {scene_name}
description: {一句话描述}
steps:
- id: step-1
target: "namespace.element" # data-guide-id 值
tips: "点击这里开始配置" # 引导文案
advance: click # click / visible / input / confirm
- id: step-2
target: "namespace.form-field"
tips: "填写 API 密钥"
advance: input
- id: step-final
target: "namespace.save-button"
tips: "点击保存完成配置"
advance: confirm # 保存成功后 guide:confirm 触发
编排规则:
- 每个 flow 必须有退出路径(HUD 退出按钮始终可用)
- target 值必须匹配
data-guide-id,命名空间式(如hub.trigger) - target 必须通过 whitelist:
/^[a-zA-Z0-9._-]+$/ - 最后一步建议用
confirm类型,确保操作真正成功后才完成 - 全局 Esc 键已禁用(KD-14),防止误退出
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.
- 6d ago First seen · 194 lines · 102 tokens per session scan A 4d59f76d46cf
guide-authoring is a skill published in the GitHub repository zts212653/clowder-ai (2,906 stars, last pushed today), licensed MIT. It adds 102 tokens to every session and 1,928 once invoked, about $0.0005 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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