Scan an AI component before you trust it
Supply-chain risk, dangerous capabilities, prompt-injection and exfiltration surfaces — derived only from the component itself. Free, no account.
How it works
Submit a component
Paste a public git URL (GitHub/GitLab/Bitbucket/Hugging Face) or an npm:/pypi: package — an MCP server, agent skill/plugin, model repo, or package.
We analyze the component itself
Deterministic static analysis — no execution, no LLM: capabilities, dangerous APIs, prompt-injection and exfiltration surfaces.
Get an evidence-backed report
A risk score and every finding anchored to file, line and snippet — export as JSON or SARIF.
What you get
Free
Always freeThe full static report — no account needed.
- Risk score (0–100) and level
- All capabilities the component exposes
- Behavioral trait fingerprint — mapped to CSA / MAESTRO / MITRE ATLAS
- Every finding with file:line evidence
- JSON and SARIF export
Deep Analysis
Coming soonServer-side analysis that explains why a finding matters.
- LLM verification of each finding
- Exploitability & impact analysis
- Dynamic behavior analysis in our isolated sandbox
- Tailored remediation guidance
- History & monitoring
100% open source (Apache-2.0). Run the engine locally and your code never leaves your machine — no account, no token, no LLM key. Scans on this site run on our servers, never executing your code; public reports are cached and shared.
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