Skill audit report

pybaseball Audit report.

Load MLB Statcast, batting, pitching, standings, and player lookup data directly with pybaseball. Use for bounded pitch-level pulls, season tables, schema checks, and user-owned baseball data artifacts.

EXPERIMENTAL · REVIEWNeeds reviewGenerated Nov 10, 2026Heuristic metadata audit

Audit

Trust

Quality

Security

Maintain

Install

OpenAgentSkill Trust Score

Manual review

OpenAgentSkill Trust Score

The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.

GitHub adoption

WARN

49 GitHub stars

Stars/forks activity

WARN

49 stars, 3 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

2mo since push

License clarity

PASS

MIT

README/SKILL.md completeness

PASS

Metadata includes enough usage and workflow context

Dependency/runtime risk

WARN

command execution surface, external package install surface

Install availability

PASS

npx skills add WalrusQuant/sports-analytic-skills --skill pybaseball

Install command safety

PASS

standard package or runtime install path

Permission surface

WARN

shell or command execution, network or browser access

Repository evidence

PASS

https://github.com/WalrusQuant/sports-analytic-skills/tree/main/skills/pybaseball

Review status

INFO

AI review data available

Agent Proven outcomes

INFO

No agent outcome data yet

Checks

Install and adoption review

6 Passed · 16 Needs review

Install path

PASS

npx skills add WalrusQuant/sports-analytic-skills --skill pybaseball

Repository

PASS

https://github.com/WalrusQuant/sports-analytic-skills/tree/main/skills/pybaseball

License

PASS

MIT

Maintenance

PASS

2mo since push

AI review

CHECK

The SKILL.md metadata version says "0.12.0", which could be confused with the pybaseball library version; clarify whether this is the skill revision or the package version.

README/SKILL.md completeness

PASS

Usable description available

Dependency risk

FIX

command execution surface, external package install surface

Install command safety

PASS

standard package or runtime install path

Permission surface

FIX

shell or command execution, network or browser access

Stars/forks activity

FIX

49 stars, 3 forks; issue activity unavailable in current metadata

Adoption

CHECK

49 GitHub stars

Warnings

Dependency or permission surface needs review
Permission surface may require sandboxing
The SKILL.md metadata version says "0.12.0", which could be confused with the pybaseball library version; clarify whether this is the skill revision or the package version.
The helper script only probes FanGraphs-backed batting_stats, so it cannot validate Statcast or other provider health; this is documented, but agents may over-trust the helper as a general health check.
Low GitHub adoption signal
Quality score needs review
Permission surface needs review: shell or command execution, network or browser access
GitHub adoption: 49 GitHub stars
Stars/forks activity: 49 stars, 3 forks; issue activity unavailable in current metadata
Dependency/runtime risk: command execution surface, external package install surface
Permission surface: shell or command execution, network or browser access

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.

Install path

Review the report before installing into production agents.

$ npx skills add WalrusQuant/sports-analytic-skills --skill pybaseball

Agent-readable metadata

Machine decision packet

Embedded JSON exposes suited tasks, suited agents, install command, trust score, safety gate, alternatives, and do-not-use conditions for agent review.

Install policy: review
Best agents: Codex + Claude Code
Alternatives: 3

Open agent JSON

Signals

Audit score: 71/100
Quality: 61/100
Trust: 65/100
Install safety: 92/100
Permission surface: 50/100
Maintenance: 2mo since push
Events: 8 events
GitHub stars: 49
Last push: Sep 9, 2026

Agent safety v2

43/100 · Avoid automatic install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

High-risk permission hints: Shell or command execution
43/100 agent safety score

Shell or command execution

high

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

Network access

medium

Skill likely fetches remote pages, APIs, repositories, or external services.

Database access

medium

Skill may inspect schemas, query databases, or work with persistent stores.

High-risk permission hints: Shell or command execution
Dependency or permission surface needs review

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