Guardrails AI vs SkillSpector
Guardrails AI leads on trust: 76.4/100 (Grade B) against 62.4/100 (Grade C), a 14.0-point gap. Guardrails AI leads on supply-chain integrity and provenance, and rests on broader evidence; SkillSpector leads on maintenance.
Adding guardrails to large language models.
Choose Guardrails AI if supply-chain integrity and provenance matter most.
- +9.8Safety / Integrity: 100% of recent commits signed, against 76%
- +7.2Identity / Provenance: package provenance attested, against none
- +4.8Adoption
- +0.8Transparency: OSSF Scorecard 6.0 against 5.1
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.
Choose SkillSpector if maintenance matters most.
- +8.2Maintenance: last push 1d ago, against 4d ago
Where they differ
An independent, evidence-based trust comparison of Guardrails AI 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 | Guardrails AIguardrails-ai/guardrails | SkillSpectorNVIDIA/SkillSpector |
|---|---|---|
| HVTrust score | 76.4 | 62.4 |
| Evidence grade | B | C |
| Coverage grade | A | C |
| Overall rank | #217 | #609 |
| Rank in Security & Guardrails | #5 | #9 |
| GitHub stars | 7.5k | 20.1k |
| Last updated | 4d ago | 1d ago |
| Build provenance | Yes | No |
| OSSF Scorecard | 6.0 / 10 | 5.1 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 24k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.0 | 10.2 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 13.6 | 12.8 |
| Maintenance / 20 | 11.7 | 19.9 |
| Adoption / 20 | 15.1 | 10.3 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | 3 — Anthropic, Multi-provider (LiteLLM), OpenAI | 5 — Amazon Bedrock, Anthropic, Azure OpenAI, … |
| Requires API keys | Yes | Yes |
| Plugin surface | — | extensions |
| Provenance drift | Unknown | — |
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 →