Garak vs Snyk Agent Scan
Garak leads on trust: 67.1/100 (Grade B) against 63.3/100 (Grade C), a 3.8-point gap. Garak leads on maintenance and adoption, and rests on broader evidence; Snyk Agent Scan leads on supply-chain integrity and transparency.
the LLM vulnerability scanner
Choose Garak if maintenance and adoption matter most.
- +6.7Adoption: 9.9k GitHub stars against 3.2k
- +1.8Maintenance
- A vs CEvidence coverage: 4 of 5 independent signal types, against 2
Security scanner for AI agents, MCP servers and agent skills.
Choose Snyk Agent Scan if supply-chain integrity and transparency matter most.
- +2.6Safety / Integrity: 100% of recent commits signed, against 72%
- +0.8Transparency: OSSF Scorecard 5.7 against 4.7
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of Garak and Snyk Agent Scan, two Security & Guardrails projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | GarakNVIDIA/garak | Snyk Agent Scansnyk/agent-scan |
|---|---|---|
| HVTrust score | 67.1 | 63.3 |
| Evidence grade | B | C |
| Coverage grade | A | C |
| Overall rank | #452 | #588 |
| Rank in Security & Guardrails | #7 | #8 |
| GitHub stars | 9.9k | 3.2k |
| Last updated | 1d ago | today |
| Build provenance | No | No |
| OSSF Scorecard | 4.7 / 10 | 5.7 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 13k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 9.5 | 12.1 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 12.5 | 13.3 |
| Maintenance / 20 | 19.5 | 17.7 |
| Adoption / 20 | 15.1 | 8.4 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | 8 — Amazon Bedrock, Anthropic, Cohere, … | 1 — Anthropic |
| Requires API keys | Yes | Yes |
| Plugin surface | plugins | — |
| Provenance drift | Match | — |
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption, scaled by an evidence-confidence factor. Grade bands: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Signals refresh daily. Full methodology v4.4 →