sports-modeling-doctrine Eval
=============================

Status: review
Score: 67/100
Risk: medium
Decision: manual_review
Policy: review
Reason: Test manually in an isolated workspace and compare against safer alternatives.

Install:
npx skills add WalrusQuant/sports-analytic-skills --skill sports-modeling-doctrine

Required checks:
- PASS Task fit: Task wording matches this skill metadata.
- PASS Install path: Install handoff is available.
- PASS Install command safety: standard package or runtime install path
- WARN Trust score: Potentially useful, but at least one trust signal needs human inspection.
- WARN Audit score: Needs review
- WARN Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- PASS License clarity: MIT
- WARN Permission surface: shell or command execution, database access

Warnings:
- Trust score: Potentially useful, but at least one trust signal needs human inspection.
- Audit score: Needs review
- Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
- Permission surface: shell or command execution, database access
- High-risk permission hints: Shell or command execution
- 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.
- The helper script accepts an arbitrary --out path and writes to the filesystem, which is low risk but should be used only with user-specified paths.
- Low GitHub adoption signal
- Quality score needs review
- GitHub adoption: 49 GitHub stars
- Stars/forks activity: 49 stars, 3 forks; issue activity unavailable in current metadata

Validation plan:
1. Inspect repository, README/SKILL.md, license, and recent commits before production use.
2. Install in an isolated workspace or sandbox with no production secrets available.
3. Run the smallest representative task and record files touched, commands run, network access, and outputs.
4. Compare the selected skill against at least one alternative when the eval status is review or failed.
5. Promote only after the agent reports a successful verification result and unresolved warnings are accepted.

Do not use when:
- teams that need a vendor-supported SLA
- production agents without a repository review
- Low GitHub adoption signal
- 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.
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution
- The helper script accepts an arbitrary --out path and writes to the filesystem, which is low risk but should be used only with user-specified paths.
- Quality score needs review

URLs:
- Skill: https://www.openagentskill.com/skills/walrusquant-sports-modeling-doctrine
- Audit: https://www.openagentskill.com/skills/walrusquant-sports-modeling-doctrine/audit
- JSON: https://www.openagentskill.com/api/agent/evals?slug=walrusquant-sports-modeling-doctrine