mac-optimizer
mac-optimizer is a System & environment troubleshooting skill for AI agents, published by kargnas in the mac-optimizing-looper repository on GitHub. Skillspace rates mac-optimizer C (75/100) and it passed the safety scan; the rating is based on static analysis only.
Diagnoses why a macOS system is slow by MEASURING which layer is the bottleneck (CPU thread / GPU / memory pressure / WindowServer compositor), flags a CRITICAL must-act-now state, then drills generically to the responsible process and recommends durable fixes. Works on any Mac with no hardcoded app list. Triggers on slow Mac, laggy, why is it slow, stuttering, slow window dragging, lag during screen share, check Mac performance, optimize my Mac, system health check.
- Grade
- C
- Quality
- 75 / 100
- Safety
- Passed
- GitHub stars
- 21
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
- 97 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
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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