KillerSkills
Security verdicts for agent skills and MCP servers, from sandbox runs, before you install them.
Description from the maker (original English)
Scan codebases for LLM/AI SDK usage, exposed API tokens, and hardcoded secrets.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
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": {
"ai-scanner": {
"command": "npx",
"args": [
"-y",
"ai-scanner-mcp"
]
}
}
}Run this in your terminal
claude mcp add ai-scanner -- npx -y ai-scanner-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ai-scanner": {
"command": "npx",
"args": [
"-y",
"ai-scanner-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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ai-scanner": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"ai-scanner-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.
Runs on your computer; the tool list appears in your AI app after you install it.
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 9, 2026
The registry name was verified with the GitHub account Aakashbhardwaj27, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed –, and the latest version (1.0.6) reached the registry 8 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: KillerSkills, OpenWorkProof, Shipshape MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Security verdicts for agent skills and MCP servers, from sandbox runs, before you install them.
Verifiable agent evidence; opt-in Codex guard and reference SOC alert review.
Dockerfile and Kubernetes lint for AI agents: Pod Security Standards, A–F grade, a fix per finding.
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.
ai-scanner-mcp
MCP server for ai-scanner - let AI agents scan codebases for LLM usage, AI frameworks, and exposed secrets.
An MCP server that exposes ai-scanner as tools for AI agents. Works with Claude Code, Claude Desktop, Cursor, Windsurf, and any MCP-compatible client.
| Tool | Description |
|---|---|
scan_directory | Full scan — LLM SDKs, AI frameworks, exposed tokens, and hardcoded secrets with severity levels |
check_secrets | Security check — pass/fail scan for exposed credentials only. Perfect for pre-commit checks |
ai_inventory | AI stack overview — which SDKs, frameworks, models, and API endpoints are used (no secret detection) |
claude mcp add ai-scanner npx ai-scanner-mcp
Add to your claude_desktop_config.json:
{
"mcpServers": { "ai-scanner": { "command": "npx", "args": ["ai-scanner-mcp"] } } }
Config file location:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonAdd to .cursor/mcp.json in your project:
{
"mcpServers": { "ai-scanner": { "command": "npx", "args": ["ai-scanner-mcp"] } } }
Add to ~/.windsurf/mcp.json:
{
"mcpServers": { "ai-scanner": { "command": "npx", "args": ["ai-scanner-mcp"] } } }
Once connected, you can ask your AI agent:
Full scan with all detection categories. Parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
directory | string | *required* | Path to scan |
ai_only | boolean | false | Skip generic secrets (Stripe, GitHub, etc.) |
scan_env | boolean | false | Include .env files |
include_endpoints | boolean | true | Detect LLM API endpoint URLs |
include_models | boolean | true | Detect model name references |
Security-focused pass/fail check. Parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
directory | string | *required* | Path to scan |
ai_only | boolean | false | Only check AI tokens |
scan_env | boolean | false | Include .env files |
AI stack awareness (no secret detection). Parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
directory | string | *required* | Path to scan |