Skill audit report

AD Fastlane audit report.

One-command iOS CI/CD with Fastlane — build, archive, submit to App Store, and upload to Pgyer.

REVIEWED · REVIEWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit
87
Audit
84
Trust
82
Quality
86
Security
100
Maintain
92
Install

OpenAgentSkill Trust Score

84
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

62

319 GitHub stars

Stars/forks activity

INFO

62

319 stars, 64 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

100

2d since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add mythkiven/AD_Fastlane

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/mythkiven/AD_Fastlane

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 3 review

Install path

92

PASS

npx skills add mythkiven/AD_Fastlane

Repository

88

PASS

https://github.com/mythkiven/AD_Fastlane

License

86

PASS

MIT

Maintenance

100

PASS

2d 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

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

62

CHECK

319 stars, 64 forks; issue activity unavailable in current metadata

Adoption

68

INFO

319 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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