egobox-egor-tuning
egobox-egor-tuning is a Physics, mathematics & simulation skill for AI agents, published by relf in the EGObox repository on GitHub. Skillspace rates egobox-egor-tuning D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill whenever the user is working with the Egor optimizer. Triggers on any mention of: Egor optimizer Bayesian optimization in Rust/Python or requests to minimize expensive black-box functions using surrogate models.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 181
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
- 84 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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