entroly-lobehub-audit

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Audit and remediate Entroly's MCP marketplace quality with evidence, adversarial validation, and no score gaming.

AI & Automation 431 stars 69 forks Updated today Apache-2.0

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Quality Score: 94/100

Stars 20%
88
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Entroly LobeHub MCP Audit ## Mission Audit Entroly's complete LobeHub MCP score at: `https://lobehub.com/mcp/juyterman1000-entroly?activeTab=score` Act as a senior open-source product architect, MCP engineer, security engineer, Rust/Python/TypeScript developer, and release engineer. ## Non-negotiable execution contract 1. Read every score category, deduction, warning, and missing requirement. 2. Map every deduction to the exact repository file, runtime behavior, external index state, or genuinely missing capability. 3. Classify every finding as one of: - product or security defect; - packaging or discovery defect; - missing documentation; - stale external indexing; - criterion irrelevant to Entroly's context-control category. 4. Improve only legitimate weaknesses. Never add empty keywords, fabricated evidence, fake benchmarks, or unnecessary features merely to game a score. 5. Preserve Entroly's positioning as the auditable context, memory, and verification control plane for AI agents. 6. Implement production-quality fixes with tests, schemas, validation, security controls, documentation, and reproducible evidence. 7. Add CI regression gates so corrected findings cannot return. 8. Run the official MCP, npm, PyPI, OpenClaw/ClawHub, and LobeHub-relevant validation paths. 9. Open a focused PR with a deduction-by-deduction remediation table. 10. Merge only after all checks pass, publish the necessary patch release, and verify the public L...

Details

Author
juyterman1000
Repository
juyterman1000/entroly
Created
4 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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