Skill audit report
Define a sports analysis or prediction question, grain, decision time, baselines, primary metrics, validation, and acceptance criteria before choosing algorithms. Use at the start of any sports modeling project.
OpenAgentSkill Trust Score
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
49 GitHub stars
Stars/forks activity
WARN43
49 stars, 3 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
10d 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 sports-modeling-doctrine
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/sports-modeling-doctrine
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 sports-modeling-doctrine
Repository
88
https://github.com/WalrusQuant/sports-analytic-skills/tree/main/skills/sports-modeling-doctrine
License
86
MIT
Maintenance
100
10d since push
AI review
55
The SKILL.md references several specialist skills (eda-sports, feature-rules, baseline-models, etc.) that are not included in this repository, though they are described as optional downstream routing rather than required dependencies.
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
49 stars, 3 forks; issue activity unavailable in current metadata
Adoption
42
49 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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