io.github.Skillproofdev/skillproof
Check whether a Claude Code skill was tested and whether it works before installing it.
What can you do with io.github.Skillproofdev/skillproof?
- 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
Install
Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).
skillproof-mcpclaude mcp add skillproof -- npx -y skillproof-mcp@1.0.1
{
"mcpServers": {
"skillproof": {
"command": "npx",
"args": [
"-y",
"skillproof-mcp@1.0.1"
]
}
}
}
Documentation
From the project's README on GitHub, refreshed weekly. Links open on GitHub.
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
Frequently asked questions
What is io.github.Skillproofdev/skillproof?
Check whether a Claude Code skill was tested and whether it works before installing it.
How do I install io.github.Skillproofdev/skillproof?
It runs on your machine. In Claude Code: claude mcp add skillproof -- npx -y skillproof-mcp@1.0.1. For other clients, paste the JSON configuration from this page into their MCP settings.
Does io.github.Skillproofdev/skillproof need an API key?
Its registry entry lists no required key or secret. Some features may still need an account with the service it connects to.
Is io.github.Skillproofdev/skillproof open source?
Yes. Its code is on GitHub under the MIT license.
Who maintains io.github.Skillproofdev/skillproof?
It is published by Skillproofdev. AI.tn lists it but does not maintain or endorse it.
From the official MCP Registry. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.