Skill audit report
Awesome Data Analysis audit report.
馃殌 500+ curated resources for Data Analysis & Data Science: Python, SQL, Statistics, ML, AI, Visualization, Cheatsheets, Roadmaps, Interview Prep. For beginners and experts.
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
1.4K GitHub stars
Recent maintenance
PASS100
13d since push
License clarity
PASS86
CC0-1.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency risk
PASS82
database surface
Install availability
PASS92
npx skills add PavelGrigoryevDS/awesome-data-analysis
Repository evidence
PASS86
https://github.com/PavelGrigoryevDS/awesome-data-analysis
Review status
PASS88
AI review data available
Checks
Install and adoption review
Install path
92
npx skills add PavelGrigoryevDS/awesome-data-analysis
Repository
88
https://github.com/PavelGrigoryevDS/awesome-data-analysis
License
86
CC0-1.0
Maintenance
100
13d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
82
database surface
Adoption
88
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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