Skill audit report
Review sports figures, tables, notebooks, and reports for chartjunk, fake certainty, cropped axes, baseline erasure, metric laundering, and weak reproducibility. Use when asked to clean up or audit analytical presentation.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
48 GitHub stars
Stars/forks activity
WARN43
48 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
12d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO72
command execution surface
Install availability
PASS92
npx skills add WalrusQuant/sports-analytic-skills --skill anti-slop-analytics
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO62
shell or command execution, filesystem or document access
Repository evidence
PASS86
https://github.com/WalrusQuant/sports-analytic-skills/tree/main/skills/anti-slop-analytics
Review status
PASS88
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add WalrusQuant/sports-analytic-skills --skill anti-slop-analytics
Repository
88
https://github.com/WalrusQuant/sports-analytic-skills/tree/main/skills/anti-slop-analytics
License
86
MIT
Maintenance
100
12d since push
AI review
88
Approved with no listed issues
README/SKILL.md completeness
86
Usable description available
Dependency risk
72
command execution surface
Install command safety
92
standard package or runtime install path
Permission surface
62
shell or command execution, filesystem or document access
Stars/forks activity
43
48 stars, 3 forks; issue activity unavailable in current metadata
Adoption
42
48 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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