Skill audit report

Packj audit report.

Packj stops :zap: Solarwinds-, ESLint-, and PyTorch-like attacks by flagging malicious/vulnerable open-source dependencies ("weak links") in your software supply-chain

REVIEWED · REVIEWSafe to tryGenerated Jun 16, 2026Heuristic metadata audit
88
Audit
87
Trust
80
Quality
97
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

87
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

688 GitHub stars

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

AGPL-3.0

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 ossillate-inc/packj

Repository evidence

PASS

86

https://github.com/ossillate-inc/packj

Review status

PASS

88

AI review data available

Checks

Install and adoption review

8 passed · 1 review

Install path

92

PASS

npx skills add ossillate-inc/packj

Repository

88

PASS

https://github.com/ossillate-inc/packj

License

86

PASS

AGPL-3.0

Maintenance

88

PASS

2mo 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

688 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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