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Audit MCP servers and AI packages for security and supply chain risks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AgentAudit" yet — see the docs or source repo.
Use AgentAudit to scan this MCP server for known vulnerabilities, risky configurations, prompt injection risks, and suspicious dependencies, then return prioritized remediation advice: <server URL or config>
A severity-ranked security audit with risk details, affected components, and remediation steps.
Use AgentAudit to analyze this AI package or repository for malicious dependencies, poisoned versions, suspicious sources, and license risks, then conclude whether it is safe for production use: <package name, repo URL, or SBOM>
A supply chain risk report covering dependency issues, source trust, license concerns, and deployment recommendations.
Use AgentAudit to perform a prompt injection security review of this AI agent workflow, identify where external input can affect system prompts, tool calls, and retrieval chains, and propose hardening measures: <workflow description or config>
A prompt injection assessment listing exposure points, exploit paths, and concrete mitigations.
Create tamper-proof audit logs, integrity checks, and compliance reports for AI agents.
Audit MCP configs for exposed access, secrets, models, and compliance AI-BOMs.
Scan MCP server configs for injections, secrets, and dangerous commands.
Audit AI agent permissions by scanning credential, injection, and reach risks.
Review code for security, quality, and performance issues with actionable suggestions.
Search, audit, and install open-source AI skills and MCP servers.