Skill audit report

Design System audit report.

Priceline.com Design System

REVIEWEDREVIEWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit
85
Audit
84
Trust
80
Quality
88
Security
88
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

76

725 GitHub stars

Stars/forks activity

INFO

71

725 stars, 120 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

1mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

INFO

74

Public metadata needs stronger README/SKILL.md context

Dependency/runtime risk

PASS

90

no major dependency risk hints in public metadata

Install availability

PASS

92

npx skills add priceline/design-system

Install command safety

PASS

92

standard package or runtime install path

Permission surface

PASS

86

filesystem or document access

Repository evidence

PASS

86

https://github.com/priceline/design-system

Review status

PASS

88

AI review data available

Checks

Install and adoption review

10 passed 路 3 review

Install path

92

PASS

npx skills add priceline/design-system

Repository

88

PASS

https://github.com/priceline/design-system

License

86

PASS

MIT

Maintenance

88

PASS

1mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

84

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

86

PASS

filesystem or document access

Stars/forks activity

71

CHECK

725 stars, 120 forks; issue activity unavailable in current metadata

Adoption

88

PASS

725 GitHub stars

Warnings

  • Quality score needs review
  • Documentation summary is thin

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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