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 weixin-mpgit 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/weixin-mp)<a href="https://agentmods.dev/skills/zts212653/clowder-ai/weixin-mp"><img src="https://agentmods.dev/badge/skills/zts212653/clowder-ai/weixin-mp/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/weixin-mp"><img src="https://agentmods.dev/badge/skills/zts212653/clowder-ai/weixin-mp.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 | $0.00077 | $0.01853 |
| Opus 5 | $0.00039 | $0.00927 |
| Sonnet 5 | $0.00015 | $0.00371 |
| Haiku 4.5 | $0.00008 | $0.00185 |
Grade A, and why
weixin-mp 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 10d 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 — 100 lines — stays where its author put it; the contents beside it link to each section on GitHub.
微信公众号发文
通过 Limb 体系三步调用操作微信公众号:
limb_list_available— 发现在线节点limb_list_tools— 查询工具 schemalimb_invoke_tool— 调用具体工具
使用前检查
先调用 limb_list_available({ capability: "content_publish" }) 确认 weixin-mp 节点在线。
如果节点不在线或不存在,提示用户在 设置 → 插件集成 中启用并配置微信公众号插件。
接口发现
limb_list_available() 返回当前在线节点的 capability、command 和 authLevel;这是可调用命令白名单。
调用 limb_list_tools({ nodeId: "weixin-mp" }) 获取每个工具的参数 schema。
详细参数以本 skill 的"核心能力"说明为准。当前列表中没有的命令不要猜测调用;如果缺少预期命令,提示用户重新启用或同步微信公众号插件。
核心能力
-
检查连接 —
limb_invoke_tool({ nodeId: "weixin-mp", command: "weixin_mp.check_status" })确认公众号是否配置并可连接。 -
Markdown 转 HTML —
limb_invoke_tool({ nodeId: "weixin-mp", command: "weixin_mp.convert_markdown", params: { markdown } })将 Markdown 转为微信兼容内联样式 HTML,写入系统临时目录并返回{ filePath }。发文前必须调用。支持markdownFilePath替代markdown读取本地文件(必须在系统临时目录下,上限 2 MB)。 -
上传正文图片 —
limb_invoke_tool({ nodeId: "weixin-mp", command: "weixin_mp.upload_image", params: { fileLocation } })上传图片到微信 CDN,返回可在文章正文中使用的{ url }。fileLocation支持 HTTP/HTTPS URL 或 OS 临时目录下的本地路径(如/tmp/photo.png)。本地文件必须在系统临时目录下,其他路径会被拒绝。格式:jpg/png/gif/bmp,上限 10 MB。 -
上传封面素材 —
limb_invoke_tool({ nodeId: "weixin-mp", command: "weixin_mp.upload_material", params: { fileLocation } })上传永久图片素材,返回{ mediaId, url }。用作封面图的thumbMediaId。同upload_image,本地路径限系统临时目录,上限 10 MB。 -
创建草稿 —
limb_invoke_tool({ nodeId: "weixin-mp", command: "weixin_mp.create_draft", params: { title, content, thumbMediaId, author?, digest? } })创建草稿箱文章。content须是微信 HTML(先调convert_markdown),thumbMediaId是封面 media_id(先调upload_material)。支持contentFilePath替代content传入大段内容(必须在系统临时目录下,上限 2 MB)。 -
更新草稿 —
limb_invoke_tool({ nodeId: "weixin-mp", command: "weixin_mp.update_draft", params: { mediaId, title?, content?, thumbMediaId?, author?, digest? } })更新草稿箱文章,仅传需要修改的字段。支持contentFilePath替代content(同上,限系统临时目录)。 -
删除草稿 —
limb_invoke_tool({ nodeId: "weixin-mp", command: "weixin_mp.delete_draft", params: { mediaId } })删除草稿箱中的指定草稿。
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.
- 10d ago First seen · 100 lines · 77 tokens per session scan A 4b186a0bcc78
weixin-mp is a skill published in the GitHub repository zts212653/clowder-ai (2,956 stars, last pushed today), licensed MIT. It adds 77 tokens to every session and 1,853 once invoked, about $0.0004 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.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…