Star200+

Skill audit report

Socialscan Audit report.

Python library for accurately querying username and email usage on online platforms

REVIEWED 路 REVIEWSafe to tryGenerated Aug 3, 2026Heuristic metadata audit
88
Audit
86
Trust
98
Quality
85
Security
76
Maintain
92
Install

OpenAgentSkill Trust Score

86
Production candidate

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

PASS

86

1.8K GitHub stars

Stars/forks activity

INFO

77

1.8K stars, 213 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

76

3mo since push

License clarity

PASS

86

MPL-2.0

README/SKILL.md completeness

PASS

100

Metadata includes enough usage and workflow context

Dependency/runtime risk

INFO

72

command execution surface

Install availability

PASS

92

npx skills add iojw/socialscan

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/iojw/socialscan

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

7 Passed 路 4 Needs review

Install path

92

PASS

npx skills add iojw/socialscan

Repository

88

PASS

https://github.com/iojw/socialscan

License

86

PASS

MPL-2.0

Maintenance

76

CHECK

3mo since push

AI review

88

PASS

Approved with no listed issues

README/SKILL.md completeness

100

PASS

Usable description available

Dependency risk

72

CHECK

command execution surface

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

77

CHECK

1.8K stars, 213 forks; issue activity unavailable in current metadata

Adoption

88

PASS

1.8K GitHub stars

Warnings

No major warnings 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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