Skill audit report
Record sports-modeling experiments with the hypothesis, data cut, validation charter, metrics, leakage status, decision, commands, and artifacts. Use for trials, model comparisons, and reproducible research history.
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
13d 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 experiment-log
Install command safety
PASS92
standard package or runtime install path
Permission surface
INFO64
shell or command execution, database access
Repository evidence
PASS86
https://github.com/WalrusQuant/sports-analytic-skills/tree/main/skills/experiment-log
Review status
INFO66
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 experiment-log
Repository
88
https://github.com/WalrusQuant/sports-analytic-skills/tree/main/skills/experiment-log
License
86
MIT
Maintenance
100
13d since push
AI review
55
The skill relies on human discipline to keep experiment records immutable; the provided script only creates a planned stub and does not validate that frozen fields are complete or unchanged after results are appended.
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
64
shell or command execution, database access
Stars/forks activity
43
48 stars, 3 forks; issue activity unavailable in current metadata
Adoption
42
48 GitHub stars
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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