Skill audit report
Complete Ryot media tracker with progress tracking, reviews, collections, analytics, calendar, and automated daily/weekly reports. Track TV shows, movies, books, anime, games with full GraphQL API integration.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO76
595 GitHub stars
Stars/forks activity
INFO71
595 stars, 66 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
7d since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN46
command execution surface, credential or environment access
Install availability
PASS92
npx skills add berabuddies/Semia --skill ryot
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL22
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/berabuddies/Semia/tree/main/tests/fixtures/skills/f-liva/ryot
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add berabuddies/Semia --skill ryot
Repository
88
https://github.com/berabuddies/Semia/tree/main/tests/fixtures/skills/f-liva/ryot
License
86
Apache-2.0
Maintenance
100
7d since push
AI review
55
SKILL.md states 'Use scripts/ryot_api.py for all Ryot operations' but then references multiple other scripts (ryot_reviews.py, ryot_collections.py, ryot_stats.py, ryot_calendar.py, ryot-mark-episodes.py) without clarifying when to use each.
README/SKILL.md completeness
86
Usable description available
Dependency risk
46
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
22
secrets or environment access, shell or command execution
Stars/forks activity
71
595 stars, 66 forks; issue activity unavailable in current metadata
Adoption
88
595 GitHub stars
Warnings
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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