using-model-endpoint
using-model-endpoint is an LLM app frameworks & APIs skill for AI agents, published by companion-inc in the feynman repository on GitHub. Skillspace rates using-model-endpoint D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Call a configured Feynman model endpoint and interpret its response. Use when a task needs inference from a registered endpoint, remote model API, local model service, or custom connector-backed predictor.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 8,301
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
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Calls endpoints registered in the Feynman product
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.