openclaw-skill-vetter-mcp

by temurkhan13

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MCP server for security-vetting third-party AI agent extensions before installation — Claude skills, ClawHub plugins, agent tool packs. 41 detection rules; outputs 0-100 risk score + BLOCK/REVIEW/CAUTION/CLEAN.

Details

Author
temurkhan13
Categories
Developer Tools, Security, AI

Setup

Install openclaw-skill-vetter-mcp in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/temurkhan13/openclaw-skill-vetter-mcp

Follow the installation instructions in the repository README, then restart your MCP client.

MCP server for security-vetting third-party AI agent extensions before installation — Claude skills, ClawHub plugins, agent tool packs. 41 detection rules; outputs 0-100 risk score + BLOCK/REVIEW/CAUTION/CLEAN.

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

Require a named human's offline-verifiable approval before an AI agent takes an irreversible action — payment release, record change, deploy. Two-person rule, Ed25519 Trust Receipts, IETF-drafted, Apache-2.0.

Six-gate governance for AI agents: PROCEED/PAUSE/HALT decisions with hash-chained audit trails.

EU AI Act compliance scanner for Python AI agents — 10 tools for scanning, analysis, and remediation

EXIF for AI. AKF embeds trust scores, source provenance, and compliance metadata into every file your AI touches — DOCX, PDF, images, code, and 20+ formats. 9 MCP tools: stamp, inspect, trust, audit, scan, embed, extract, detect. Audit against EU AI Act, SOX, HIPAA, NIST in one command.

A pre-action risk gate your AI agent calls before any irreversible action — returns a risk score, named red flags, and a gate: proceed / confirm / human-required.

Pre-connect trust checks for AI agents, frameworks, packages, and MCP servers using HVTracker's public trust registry.

Security scanner for MCP servers — detects tool poisoning, prompt injection, and 90+ vulnerability patterns

Paid remote MCP for AI agent safety replay checks, policy gates, eval receipts, control-fix suggestions, and release evidence exports.

Cryptographic action receipts for AI agents. Signs every MCP tool call with Ed25519, hash-chained audit log. 3 lines of code to integrate.

Trust and safety layer for AI agents — scores MCP servers for security risk, capability flags, and prompt injection.

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