egobox
egobox is a Statistical modelling skill for AI agents, published by relf in the EGObox repository on GitHub. Skillspace rates egobox D (57/100) and it passed the safety scan; the rating is based on static analysis only.
Use this skill whenever the user is working with the EGObox / egobox Python library for Bayesian optimization, Gaussian processes, surrogate modeling, or efficient global optimization (EGO). Triggers on any mention of: egobox, Egor optimizer, Gpx surrogate, Bayesian optimization in Rust/Python, latin hypercube sampling with egobox, mixed-integer optimization with egobox, or requests to minimize expensive black-box functions using surrogate models. Also use when the user pastes egobox code or imports like `import egobox as egx`.
- Grade
- D
- Quality
- 57 / 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
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- 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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