Skill audit report
Laravel database optimization patterns. Use when writing Eloquent queries, creating migrations, configuring caching, debugging slow queries, or optimizing database performance. Triggers on tasks involving N+1 queries, indexing, Redis caching, pagination, or database transactions.
The Trust Score helps an agent decide whether a skill is safe enough to shortlist before installation.
GitHub adoption
WARN48
72 GitHub stars
Stars/forks activity
WARN48
72 stars, 10 forks; issue activity unavailable in current metadata
Recent maintenance
PASS100
23d since push
License clarity
PASS86
MIT
README/SKILL.md completeness
PASS86
Metadata includes enough usage and workflow context
Dependency/runtime risk
INFO64
credential or environment access, database surface
Install availability
PASS92
npx skills add AsyrafHussin/agent-skills --skill laravel-database-optimization
Install command safety
PASS92
standard package or runtime install path
Permission surface
WARN48
secrets or environment access, filesystem or document access
Repository evidence
PASS86
https://github.com/AsyrafHussin/agent-skills/tree/main/skills/laravel-database-optimization
Review status
INFO66
AI review data available
Agent Proven outcomes
INFO54
No agent outcome data yet
Checks
Install path
92
npx skills add AsyrafHussin/agent-skills --skill laravel-database-optimization
Repository
88
https://github.com/AsyrafHussin/agent-skills/tree/main/skills/laravel-database-optimization
License
86
MIT
Maintenance
100
23d since push
AI review
55
Version inconsistency: SKILL.md metadata says 1.1.1 but the body says version 1.1.0.
README/SKILL.md completeness
86
Usable description available
Dependency risk
64
credential or environment access, database surface
Install command safety
92
standard package or runtime install path
Permission surface
48
secrets or environment access, filesystem or document access
Stars/forks activity
48
72 stars, 10 forks; issue activity unavailable in current metadata
Adoption
68
72 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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