Skill audit report

Cinemagoer Audit report.

Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb (to which we are not affiliated in any way) movie database about movies, people, characters and companies

REVIEWED · ALLOWSafe to tryGenerated Aug 3, 2026Heuristic metadata audit
91
Audit
88
Trust
100
Quality
86
Security
88
Maintain
92
Install

OpenAgentSkill Trust Score

88
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

1.3K GitHub stars

Stars/forks activity

PASS

83

1.3K stars, 375 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

88

2mo since push

License clarity

PASS

86

GPL-2.0

README/SKILL.md completeness

PASS

90

Metadata includes enough usage and workflow context

Dependency/runtime risk

PASS

82

database surface

Install availability

PASS

92

npx skills add cinemagoer/cinemagoer

Install command safety

PASS

92

standard package or runtime install path

Permission surface

INFO

74

filesystem or document access, database access

Repository evidence

PASS

86

https://github.com/cinemagoer/cinemagoer

Review status

PASS

88

AI review data available

Agent Proven outcomes

INFO

54

No agent outcome data yet

Checks

Install and adoption review

10 Passed · 1 Needs review

Install path

92

PASS

npx skills add cinemagoer/cinemagoer

Repository

88

PASS

https://github.com/cinemagoer/cinemagoer

License

86

PASS

GPL-2.0

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

82

PASS

database surface

Install command safety

92

PASS

standard package or runtime install path

Permission surface

74

CHECK

filesystem or document access, database access

Stars/forks activity

83

PASS

1.3K stars, 375 forks; issue activity unavailable in current metadata

Adoption

88

PASS

1.3K 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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