Skill audit report

Cc Lens audit report.

Local analytics dashboard for Claude Code. No cloud, no telemetry.

REVIEWED · REVIEWSafe to tryGenerated Jun 23, 2026Heuristic metadata audit
86
Audit
80
Trust
85
Quality
83
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

80
Strong shortlist

Stars, maintenance, license, docs, install safety, permission surface, 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

540 GitHub stars

Stars/forks activity

INFO

71

540 stars, 73 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

4d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add Arindam200/cc-lens

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

62

shell or command execution, filesystem or document access

Repository evidence

PASS

86

https://github.com/Arindam200/cc-lens

Review status

PASS

88

AI review data available

Real agent outcomes

INFO

58

No agent outcome data yet

Checks

Install and adoption review

8 passed · 4 review

Install path

92

PASS

npx skills add Arindam200/cc-lens

Repository

88

PASS

https://github.com/Arindam200/cc-lens

License

86

PASS

MIT

Maintenance

100

PASS

4d since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

62

CHECK

shell or command execution, filesystem or document access

Stars/forks activity

71

CHECK

540 stars, 73 forks; issue activity unavailable in current metadata

Adoption

88

PASS

540 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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