Addyosmani Agent Skills vs Auto claude code research in sleep
An independent, evidence-based trust comparison of Addyosmani Agent Skills and Auto claude code research in sleep, two Agent Skills projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Addyosmani Agent Skills leads on trust — 26.3/100 (Grade D) vs 25.4/100 (Grade D), a 0.9-point gap. Full breakdown below.
| Signal | Addyosmani Agent Skillsaddyosmani/agent-skills | Auto claude code research in sleepwanshuiyin/Auto-claude-code-research-in-sleep |
|---|---|---|
| HVTrust score | 26.3 | 25.4 |
| Evidence grade | D | D |
| Coverage grade | D | D |
| Overall rank | #41 | #47 |
| Rank in Agent Skills | #41 | #47 |
| GitHub stars | 86.3k | 14.6k |
| Last updated | 1d ago | 1d ago |
| Build provenance | No | No |
| OSSF Scorecard | — | — |
| License | MIT | MIT |
| Downloads | — | — |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 2.9 | 0.8 |
| Identity & provenance / 18 | 10.8 | 10.8 |
| Transparency / 17 | 8.5 | 8.5 |
| Maintenance / 20 | 19.2 | 19.6 |
| Adoption / 20 | 11.8 | 10.0 |
| Runtime capability surface (full matrix) | ||
| MCP server | — | Implemented |
| External providers | 1 — Anthropic | 2 — Google Gemini, OpenAI |
| Requires API keys | No | Yes |
| Plugin surface | plugins | — |
| Provenance drift | — | — |
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Addyosmani Agent Skills profile
Auto claude code research in sleep profile
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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 →