Skill audit report
Connect the optional sports_ds Python toolkit to the standalone sports analytics skills. Use when the user explicitly mentions sports_ds, wants its NFL/NBA/MLB public-data loaders or CLI, needs toolkit setup/troubleshooting, or wants to convert toolkit output into a skill's documented input artifact.
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
10d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
FAIL36
command execution surface, credential or environment access
Install availability
PASS92
npx skills add WalrusQuant/sports-analytic-skills --skill sports-ds-bridge
Install command safety
PASS92
standard package or runtime install path
Permission surface
FAIL18
secrets or environment access, shell or command execution
Repository evidence
PASS86
https://github.com/WalrusQuant/sports-analytic-skills/tree/main/skills/sports-ds-bridge
Review status
WARN46
AI review approval is missing
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add WalrusQuant/sports-analytic-skills --skill sports-ds-bridge
Repository
88
https://github.com/WalrusQuant/sports-analytic-skills/tree/main/skills/sports-ds-bridge
License
86
MIT
Maintenance
100
10d since push
AI review
55
Review approval is missing
README/SKILL.md completeness
86
Usable description available
Dependency risk
36
command execution surface, credential or environment access
Install command safety
92
standard package or runtime install path
Permission surface
18
secrets or environment access, shell or command execution
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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