skillproof-mcp
Check whether a Claude Code skill works before installing it by querying tested verdicts and scores.
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 baseline
What our test found: Ran the bundled convert_markdown_to_wiki.py on a real sample doc: it silently
turns **bold** text into wiki _italic_ (a genuine regex bug), and leaves standard GitHub-style tables
completely 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
| Tool | What 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:
claude mcp add skillproof -- npx -y skillproof-mcp
Or add it to your MCP config by hand:
{
"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
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.