Optimize
Optimize is a Skill evaluation & testing skill for AI agents, published by danielmiessler in the LifeOS repository on GitHub. Skillspace rates Optimize C (73/100) and it passed the safety scan; the rating is based on static analysis only.
Autonomous optimization loop — hill-climb any target. Code with metrics, or skills/prompts/agents with LLM-as-judge. USE WHEN optimize, hill climb, improve metric, reduce latency, optimize skill, optimize prompt, eval mode.
- Grade
- C
- Quality
- 73 / 100
- Safety
- Passed
- GitHub stars
- 16,717
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
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. Generic autonomous hill-climb optimization loop, no internal references shown.
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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