performance-optimizer
performance-optimizer is a Runtime diagnostics & profiling skill for AI agents, published by asgarovf in the locusai repository on GitHub. Skillspace rates performance-optimizer D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Profile, diagnose, and fix performance bottlenecks in applications. Use when optimizing slow queries, reducing load times, improving runtime performance, or reducing memory usage.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 23
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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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