Skill audit report

Domain Locker audit report.

馃寪 The all-in-one tool, for keeping track of your domain name portfolio. Got domain names? Get Domain Locker!

VERIFIEDALLOWSafe to tryGenerated Jun 17, 2026Heuristic metadata audit
92
Audit
92
Trust
97
Quality
87
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

86

1.4K GitHub stars

Stars/forks activity

INFO

77

1.4K stars, 109 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

1mo since push

License clarity

PASS

86

MIT

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

80

external package install surface

Install availability

PASS

92

npx skills add lissy93/domain-locker

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/lissy93/domain-locker

Review status

PASS

88

AI review data available

Checks

Install and adoption review

10 passed 路 1 review

Install path

92

PASS

npx skills add lissy93/domain-locker

Repository

88

PASS

https://github.com/lissy93/domain-locker

License

86

PASS

MIT

Maintenance

88

PASS

1mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

90

PASS

Usable description available

Dependency risk

80

PASS

external package install surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

86

PASS

filesystem or document access

Stars/forks activity

77

CHECK

1.4K stars, 109 forks; issue activity unavailable in current metadata

Adoption

88

PASS

1.4K 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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