Skill audit report
Low-level Python plotting for scientific figures: publication-quality line, scatter, bar, heatmap, contour, 3D; multi-panel layouts; fine control of every element. PNG/PDF/SVG export. Use seaborn for quick stats, plotly for interactive.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
INFO62
359 GitHub stars
Stars/forks activity
WARN57
359 stars, 35 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
11d since push
License clarity
PASS86
PSF-based
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
WARN54
command execution surface, external package install surface
Install availability
PASS92
npx skills add jaechang-hits/SciAgent-Skills --skill matplotlib-scientific-plotting
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/data-visualization/matplotlib-scientific-plotting
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add jaechang-hits/SciAgent-Skills --skill matplotlib-scientific-plotting
Repository
88
https://github.com/jaechang-hits/SciAgent-Skills/tree/main/skills/data-visualization/matplotlib-scientific-plotting
License
86
PSF-based
Maintenance
100
11d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
54
command execution surface, external package install surface
Install command safety
92
standard package or runtime install path
Permission surface
48
shell or command execution, filesystem or document access
Stars/forks activity
57
359 stars, 35 forks; issue activity unavailable in current metadata
Adoption
68
359 GitHub stars
Financial decision safety
58
Research-only use: do not treat output as financial advice or execute a position without human approval.
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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