Skillproof

io.github.Skillproofdev由 GitHub 账号 Skillproofdev 发布v1.0.1更新于 Nov 10, 2026

Check whether a Claude Code skill was tested and whether it works before installing it.

已验证STDIO仅桌面知识与记忆开发者工具

概览

AI 生成的概览

查询某个 Claude Code 技能是否经过测试、是否真的有效,帮助助手在安装前先做甄别。

可以做什么
  • 按任务描述检索已测试技能目录,返回排序结果,含结论、评分、测试说明和安装命令
  • 按名称、slug 或仓库查询单个技能并给出结论
  • 给出通过、需手动设置、未通过三类结论,包括低于无技能基线的技能
  • 若没有相关测试结果,会直接说明未测试,而不是猜测
适用场景
适合在准备安装或推荐某个来自 GitHub 的 Claude Code 技能时,先确认它是否在真实任务上被实际运行过。也适合在别人推荐某技能时快速做一次质量核查。
运行要求
通过 npx 以 stdio 在本地运行,需要 Node 18 或更高版本。无需 API 密钥或账号。需要联网从 skillproof.dev 获取实时目录,缓存 15 分钟。
安装前请注意
结论来自第三方目录及其评分标准,应视为一种参考意见而非保证。使用时服务器会从 skillproof.dev 拉取目录数据,会暴露你在查询该服务。它只读取目录数据,本身不安装或运行技能。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Skillproof,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

SkillProof MCP

Ask whether a Claude Code skill actually works — before you install it.

GitHub has tens of thousands of SKILL.md files. Almost none have been run by anyone but their author. SkillProof installs them from their repo, triggers them, and runs them on a real task against a no-skill baseline. This MCP server puts those verdicts in your agent's hands.

> is there a tested skill for converting markdown to Confluence?
## Confluence — DIDN'T PASS — scored below the no-skill baselineWhat our test found: Ran the bundled convert_markdown_to_wiki.py on a real sample doc: it silentlyturns **bold** text into wiki _italic_ (a genuine regex bug), and leaves standard GitHub-style tablescompletely unconverted, despite SKILL.md listing "tables" among the elements it handles.

That is the whole point. A directory that only lists winners tells you nothing.

Tools

ToolWhat it answers
find_skill"Is there a tested skill for X?" — ranked matches with verdict, score, test notes, install command
check_skill"Someone recommended X — is it any good?" — the verdict for one skill by name, slug, or repo

Every answer carries one of three verdicts:

  • pass — installed, triggered, and beat the no-skill baseline on a real task.
  • setup — works, but needs a manual step first (the notes say which).
  • didn't pass — scored below the no-skill baseline: it either couldn't run, or left you worse off than not installing it.

If nothing has been tested for your job, the server says so instead of guessing. "Not tested" is a real answer.

Install

Claude Code:

bash
claude mcp add skillproof -- npx -y skillproof-mcp

Or add it to your MCP config by hand:

json
{  "mcpServers": {    "skillproof": {      "command": "npx",      "args": ["-y", "skillproof-mcp"]    }  }}

Works in any MCP client (Claude Code, Claude Desktop, Cursor, Windsurf, Zed). Node 18+. No API key, no account.

Where the data comes from

The server reads the live catalog at skillproof.dev/api/skills.json and caches it for 15 minutes. Nothing is bundled, so verdicts are never stale. The scoring rubric — install /5, triggering /5, output-vs-baseline /10, docs /5 — is published at skillproof.dev/methodology.

Catalog data is CC BY 4.0: use it, cite skillproof.dev.

License

MIT

来源:README.md,提交 69dff9e

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v1.0.1最新Sep 16, 2026

评分

已满足适用检查项的 50%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通25 分

    请保持端点能够响应 MCP 握手;SourceWeft 每 30 天探测一次。

  • 已声明认证方式10 分

    请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。

  • 已列出工具15 分

    请让服务器在无凭据时响应 tools/list,或发布可在沙箱中无凭据启动的软件包。

  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分