AiSOC vs SkillSpector
AiSOC leads on trust: 84.9/100 (Grade A) against 64.2/100 (Grade C), a 20.7-point gap. AiSOC leads on supply-chain integrity and provenance, and rests on broader evidence.
Open-source AI Security Operations Center: alert fusion, LLM-agent triage, MITRE ATT&CK investigation, and a replayable decision ledger for every agent step. Self-hostable, runs with no API keys, MIT licensed. Ships an MCP server for Claude, Cursor and Continue.
Choose AiSOC if supply-chain integrity and provenance matter most.
- +7.2Identity / Provenance: package provenance attested, against none
- +6.2Safety / Integrity: package provenance attested, against none
- +1.1Adoption
- B vs CEvidence coverage: 3 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.
SkillSpector doesn't lead on any scored dimension in this pair.
Where they differ
2 dimensions identical: Transparency 13.3 · Maintenance 20.0 · Full evidence table
An independent, evidence-based trust comparison of AiSOC 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 | AiSOCbeenuar/AiSOC | SkillSpectorNVIDIA/SkillSpector |
|---|---|---|
| HVTrust score | 84.9 | 64.2 |
| Evidence grade | A | C |
| Coverage grade | B | C |
| Overall rank | #93 | #526 |
| Rank in Security & Guardrails | #3 | #8 |
| GitHub stars | 2.4k | 19.8k |
| Last updated | today | today |
| Build provenance | Yes | No |
| OSSF Scorecard | 5.6 / 10 | 5.6 / 10 |
| License | MIT | Apache-2.0 |
| Downloads | 316/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 17.6 | 11.4 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 13.3 | 13.3 |
| Maintenance / 20 | 20.0 | 20.0 |
| Adoption / 20 | 11.4 | 10.3 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | — | 5 — Amazon Bedrock, Anthropic, Azure OpenAI, … |
| Requires API keys | Yes | Yes |
| Plugin surface | plugins | 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 →