model-selection
model-selection is an Agent task delegation & fan-out skill for AI agents, published by CommunityToolkit in the Aspire repository on GitHub. Skillspace rates model-selection D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Determines which LLM model to use for each agent spawn
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 614
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 10 other repositories, in 0 collections
- Scope
- Repo-internal: written for the repository it lives in. Model selection writing to this framework's .squad/config.json
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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