Skill audit report

Nsfwjs audit report.

NSFW detection on the client-side via TensorFlow.js

VERIFIEDALLOWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit
93
Audit
92
Trust
100
Quality
88
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

92
Production candidate

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

PASS

94

8.9K GitHub stars

Stars/forks activity

PASS

88

8.9K stars, 591 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

3mo 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 infinitered/nsfwjs

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/infinitered/nsfwjs

Review status

PASS

88

AI review data available

Checks

Install and adoption review

11 passed 路 0 review

Install path

92

PASS

npx skills add infinitered/nsfwjs

Repository

88

PASS

https://github.com/infinitered/nsfwjs

License

86

PASS

MIT

Maintenance

88

PASS

3mo 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

88

PASS

8.9K stars, 591 forks; issue activity unavailable in current metadata

Adoption

88

PASS

8.9K GitHub stars

Warnings

No major warnings detected from available metadata.

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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