model-refresh
model-refresh is an LLM app frameworks & APIs skill for AI agents, published by JoshuaC215 in the agent-service-toolkit repository on GitHub. Skillspace rates model-refresh D (55/100) and it passed the safety scan; the rating is based on static analysis only.
Periodically audit the LLM model catalog in src/schema/models.py against what each provider currently ships: add newly released models, remove/flag ones the provider has deprecated or discourages, and re-point DEFAULT_MODEL fallbacks at a current model. Use when asked to "check for new models", "update the model list", "refresh the model catalog", or on the scheduled model-refresh trigger.
- Grade
- D
- Quality
- 55 / 100
- Safety
- Passed
- GitHub stars
- 4,382
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
- 84 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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