HOL Guard vs SkillSpector
HOL Guard leads on trust: 92.2/100 (Grade A) against 62.9/100 (Grade C), a 29.3-point gap. HOL Guard leads on supply-chain integrity and provenance, and rests on broader evidence.
Open-source antivirus for AI agents: block risky tools, secret access, prompt injection, malicious packages, MCP servers, plugins, and skills at runtime.
Choose HOL Guard if supply-chain integrity and provenance matter most.
- +13.9Safety / Integrity: 98% of recent commits signed, against 78%
- +7.2Identity / Provenance: package provenance attested, against none
- +3.7Transparency: OSSF Scorecard 9.6 against 5.3
- +1.8Adoption
Security scanner for AI agent skills. Detect vulnerabilities, malicious patterns, security risks, prompt injection, data exfiltration, and supply-chain risks in Claude Code, Codex, and MCP skills before you install them.
SkillSpector doesn't lead on any scored dimension in this pair.
Where they differ
An independent, evidence-based trust comparison of HOL Guard and SkillSpector, 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 | HOL Guardhashgraph-online/hol-guard | SkillSpectorNVIDIA/SkillSpector |
|---|---|---|
| HVTrust score | 92.2 | 62.9 |
| Evidence grade | A | C |
| Coverage grade | B | C |
| Overall rank | #7 | #546 |
| Rank in Security & Guardrails | #1 | #7 |
| GitHub stars | 683 | 18.8k |
| Last updated | today | 1d ago |
| Build provenance | Yes | No |
| OSSF Scorecard | 9.6 / 10 | 5.3 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 9k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 24.4 | 10.5 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 16.7 | 13.0 |
| Maintenance / 20 | 20.0 | 19.9 |
| Adoption / 20 | 12.1 | 10.3 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 3 — Anthropic, Google Gemini, Multi-provider (LiteLLM) | 5 — Amazon Bedrock, Anthropic, Azure OpenAI, … |
| Requires API keys | No | Yes |
| Plugin surface | extensions | extensions |
| 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 →