DvalinCode vs SkillSpector
DvalinCode leads on trust: 83.9/100 (Grade A) against 63.4/100 (Grade C), a 20.5-point gap. DvalinCode leads on supply-chain integrity and provenance, and rests on broader evidence; SkillSpector leads on adoption and maintenance.
Independent security verification for code written by humans and AI agents. Scan, repair, then prove it — Dvalin runs your project's own checks and issues a Verified Fix Record anyone can re-derive offline. Local-first, policy-bound, MIT.
Choose DvalinCode if supply-chain integrity and provenance matter most.
- +9.0Safety / Integrity: OSSF Scorecard 6.6 against 5.3
- +7.2Identity / Provenance: package provenance attested, against none
- +1.1Transparency: OSSF Scorecard 6.6 against 5.3
- 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.
Choose SkillSpector if adoption and maintenance matter most.
- +2.6Adoption: 18.3k GitHub stars against 118
- +0.5Maintenance: last push today, against 4d ago
Where they differ
An independent, evidence-based trust comparison of DvalinCode 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 | DvalinCodearthurpanhku/dvalincode | SkillSpectorNVIDIA/SkillSpector |
|---|---|---|
| HVTrust score | 83.9 | 63.4 |
| Evidence grade | A | C |
| Coverage grade | B | C |
| Overall rank | #98 | #528 |
| Rank in Security & Guardrails | #2 | #7 |
| GitHub stars | 118 | 18.3k |
| Last updated | 4d ago | today |
| Build provenance | Yes | No |
| OSSF Scorecard | 6.6 / 10 | 5.3 / 10 |
| License | MIT | Apache-2.0 |
| Downloads | 91/wk | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.0 | 11.0 |
| Identity & provenance / 18 | 18.0 | 10.8 |
| Transparency / 17 | 14.1 | 13.0 |
| Maintenance / 20 | 19.5 | 20.0 |
| Adoption / 20 | 7.6 | 10.2 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 1 — Anthropic | 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 v4.3 →