model-selection
model-selection is a Component & screen scaffolding skill for AI agents, published by leookun in the cursor-byok repository on GitHub. Skillspace rates model-selection D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Implement and review desktop selection of configured models through the unified grouped ModelSelect component. Use when adding or changing model dropdowns, model filters, Commit model settings, single-model selection, multi-model selection, provider grouping, or configured-model option construction under apps/desktop.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 2,908
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Not declared. Check the repository before reusing it.
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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