performance-optimizer
performance-optimizer is a Web performance & accessibility skill for AI agents, published by RaheesAhmed in the SajiCode repository on GitHub. Skillspace rates performance-optimizer D (68/100) and the safety scan flagged it for review; the rating is based on static analysis only.
Flagged for review. Read the source before running it.
Profile and optimize application performance across frontend, backend, and database layers. Covers bundle analysis, Core Web Vitals, Lighthouse optimization, lazy loading, code splitting, image optimization, caching strategies, database query optimization, memory leak detection, and server response time reduction. Use when optimizing performance or debugging slowness.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Needs review
- GitHub stars
- 66
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Medium-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- reads environment variables
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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