Skill audit report
Data Scientist Roadmap2024 audit report.
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
OpenAgentSkill Trust Score
Stars, maintenance, license, docs, install safety, permission surface, 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
INFO62
354 GitHub stars
Stars/forks activity
WARN57
354 stars, 26 forks; issue activity unavailable in current metadata
Recent maintenance
FAIL38
2y since push
License clarity
PASS86
Apache-2.0
README/SKILL.md completeness
PASS90
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO80
external package install surface
Install availability
PASS92
npx skills add xandie985/data-scientist-roadmap2024
Install command safety
PASS92
standard package or runtime install path
Permission surface
PASS86
filesystem or document access
Repository evidence
PASS86
https://github.com/xandie985/data-scientist-roadmap2024
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install and adoption review
Install path
92
npx skills add xandie985/data-scientist-roadmap2024
Repository
88
https://github.com/xandie985/data-scientist-roadmap2024
License
86
Apache-2.0
Maintenance
38
2y since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
90
Usable description available
Dependency risk
80
external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
86
filesystem or document access
Stars/forks activity
57
354 stars, 26 forks; issue activity unavailable in current metadata
Adoption
68
354 GitHub stars
Warnings
- Repository appears stale
- Repository looks stale
- Quality score needs review
- Stars/forks activity: 354 stars, 26 forks; issue activity unavailable in current metadata
- Recent maintenance: 2y since push
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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