NeMo Guardrails vs SkillSpector
NeMo Guardrails leads on trust: 72.7/100 (Grade B) against 62.4/100 (Grade C), a 10.3-point gap. NeMo Guardrails leads on supply-chain integrity and adoption, and rests on broader evidence; SkillSpector leads on maintenance.
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
Choose NeMo Guardrails if supply-chain integrity and adoption matter most.
- +5.8Adoption
- +3.7Safety / Integrity: 100% of recent commits signed, against 76%
- +1.7Transparency: OSSF Scorecard 7.1 against 5.1
- A vs CEvidence coverage: 4 of 5 independent signal types, against 2
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.
- +2.5Maintenance
Where they differ
1 dimension identical: Identity 10.8 · Full evidence table
An independent, evidence-based trust comparison of NeMo Guardrails 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 | NeMo GuardrailsNVIDIA-NeMo/Guardrails | SkillSpectorNVIDIA/SkillSpector |
|---|---|---|
| HVTrust score | 72.7 | 62.4 |
| Evidence grade | B | C |
| Coverage grade | A | C |
| Overall rank | #293 | #609 |
| Rank in Security & Guardrails | #6 | #9 |
| GitHub stars | 7.3k | 20.1k |
| Last updated | 1d ago | 1d ago |
| Build provenance | No | No |
| OSSF Scorecard | 7.1 / 10 | 5.1 / 10 |
| License | NOASSERTION | Apache-2.0 |
| Downloads | 132k/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 13.9 | 10.2 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 14.5 | 12.8 |
| Maintenance / 20 | 17.4 | 19.9 |
| Adoption / 20 | 16.1 | 10.3 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | 1 — OpenAI | 5 — Amazon Bedrock, Anthropic, Azure OpenAI, … |
| Requires API keys | No | 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 →