Skill audit report
Scweet audit report.
Scrape tweets, profiles, followers and following from Twitter/X, no API key needed. Python library with smart multi-account pooling, proxy support and async.
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, dependency risk, 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
PASS86
1.5K GitHub stars
Recent maintenance
PASS100
27d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
INFO64
credential or environment access, network or browser surface
Install availability
PASS92
npx skills add Altimis/Scweet
Repository evidence
PASS86
https://github.com/Altimis/Scweet
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add Altimis/Scweet
Repository
88
https://github.com/Altimis/Scweet
License
86
MIT
Maintenance
100
27d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
64
credential or environment access, network or browser surface
Adoption
88
1.5K 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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