MisakaNet vs Open Code Review
Open Code Review leads on trust: 93.8/100 (Grade A) against 86.8/100 (Grade A), a 7.0-point gap. MisakaNet leads on maintenance; Open Code Review leads on supply-chain integrity and adoption.
📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. | https://misakanet.org
Choose MisakaNet if maintenance matters most.
- +1.0Maintenance: last push today, against 1d ago
Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
Choose Open Code Review if supply-chain integrity and adoption matter most.
- +7.1Adoption: 85.1k weekly downloads against 1.2k
- +1.7Safety / Integrity: OSSF Scorecard 7.5 against 6.2
- +1.1Transparency: OSSF Scorecard 7.5 against 6.2
Where they differ
1 dimension identical: Identity 18.0 · Full evidence table
An independent, evidence-based trust comparison of MisakaNet and Open Code Review, two Agent Skills projects in the HVTracker registry. Scores come from public, checkable signals — supply-chain provenance, OSSF Scorecard, maintenance, and adoption — not popularity.
Full evidence
| Signal | MisakaNetIkalus1988/MisakaNet | Open Code Reviewalibaba/open-code-review |
|---|---|---|
| HVTrust score | 86.8 | 93.8 |
| Evidence grade | A | A |
| Coverage grade | B | B |
| Overall rank | #8 | #1 |
| Rank in Agent Skills | #8 | #1 |
| GitHub stars | 544 | 47.9k |
| Last updated | today | 1d ago |
| Build provenance | Yes | Yes |
| OSSF Scorecard | 6.2 / 10 | 7.5 / 10 |
| License | Apache-2.0 | Apache-2.0 |
| Downloads | 1k/wk | 85k/wk |
| Trust dimensions (points earned) | ||
| Safety / integrity / 25 | 20.2 | 21.9 |
| Identity & provenance / 18 | 18.0 | 18.0 |
| Transparency / 17 | 13.8 | 14.9 |
| Maintenance / 20 | 20.0 | 19.0 |
| Adoption / 20 | 10.7 | 17.8 |
| Runtime capability surface (full matrix) | ||
| MCP server | Implemented | Implemented |
| External providers | 2 — Anthropic, DeepSeek | 1 — Anthropic |
| Requires API keys | No | No |
| Plugin surface | plugins | plugins |
| Provenance drift | Match | 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 →