Star0

Skill audit report

Claude Code Memory Setup audit report.

Up to 71.5x fewer tokens per session on Claude Code with Obsidian + Graphify. Persistent memory, codebase knowledge graphs, and chat import pipeline. 馃嚙馃嚪 PT-BR included.

REVIEWED 路 REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
92
Audit
89
Trust
86
Quality
97
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

89
Production candidate

Stars, maintenance, license, docs, dependency risk, and installability.

The Trust Score is OpenAgentSkill's adoption layer. It is designed to help an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

INFO

76

774 GitHub stars

Recent maintenance

PASS

100

14d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add lucasrosati/claude-code-memory-setup

Repository evidence

PASS

86

https://github.com/lucasrosati/claude-code-memory-setup

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed 路 1 review

Install path

92

PASS

npx skills add lucasrosati/claude-code-memory-setup

Repository

88

PASS

https://github.com/lucasrosati/claude-code-memory-setup

License

86

PASS

MIT

Maintenance

100

PASS

14d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

90

PASS

no major dependency risk hints in public metadata

Adoption

88

PASS

774 GitHub stars

Warnings

  • Quality score needs review

Method

This report combines public metadata, AI review output, repository freshness, install readiness, OpenAgentSkill events, quality scoring, trust checks, and the agent safety gate. It is not a full source-code security review.

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