Spec Driven Development
by formulahendry
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Runs on your computer★ 440MITUpdated 14 months ago
Install
Skillproof
Overview
Description from the maker (original English)
Check whether a Claude Code skill was tested and whether it works before installing it.
PopNx MCP’s three pillars
These three are never merged into one score: opinions, measurements and popularity are different things.
- User voiceiNo reviews yetReviews open together with accounts in a later step
- Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
- UsageiNot measured yet★ –
What you can do with it
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
- Connection: Runs on your computer
- Transport: stdio
- Category: Other
Install
Pick the AI app you use, then copy the settings.
Before you install
- Basic checks: 1 of 1 passed
- Runs on your computer with your user’s permissions (files, network, apps).
- The registry lists no key to fill in.
You need
- npmNode.js installed (for the npx command)
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"skillproof": {
"command": "npx",
"args": [
"-y",
"skillproof-mcp"
]
}
}
}Run this in your terminal
claude mcp add skillproof -- npx -y skillproof-mcpOr copy the settings yourself
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"skillproof": {
"command": "npx",
"args": [
"-y",
"skillproof-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Or copy the settings yourself
Paste into .vscode/mcp.json in your project
{
"servers": {
"skillproof": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"skillproof-mcp"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
What it can do
Runs on your computer; the tool list appears in your AI app after you install it.
Basic checksi
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026
- ✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Skillproofdev, which owns the repo
- … Not checked yet
Still maintained
We have not read this repo from GitHub yet
- … Not checked yet
Has a licence
We have not read this repo from GitHub yet
- – Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
- – Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
- … Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints
Compared with others in Otheri
- More stars than 0% of the other 32368 servers in this category
- Published to the registry more recently than 17% of the other 32368 servers in this category
- Basic checks equal to or better than 100% of the other 32368 servers in this category
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
Common questions
Is Skillproof safe?
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
What keys or codes does it need?
The registry does not list a required key, though some servers ask you to sign in on first use.
Does it run on my computer or in the cloud?
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
Is it still maintained?
The GitHub repo last changed –, and the latest version (1.0.1) reached the registry 4 months ago.
Which apps can use it?
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
What can I use instead?
In the same category: Spec Driven Development, Remote Desktop Commander, Usaspending
Alternatives
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Remote Desktop Commander
by desktop-commander
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Runs in the cloud★ 211Updated yesterday
Install
Usaspending
by pipeworx-io
USAspending MCP — Federal spending data from USAspending.gov API
Computer or cloudUpdated today
Install
README from the maker
Open the README
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
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-mcpOr 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