mcaf-ml-ai-delivery
mcaf-ml-ai-delivery is an MLOps & model serving skill for AI agents, published by managedcode in the dotnet-skills repository on GitHub. Skillspace rates mcaf-ml-ai-delivery C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Apply MCAF ML/AI delivery guidance for data exploration, feasibility, experimentation, testing, responsible AI, and operating ML systems. USE FOR: the repo contains model training, inference, experimentation, or data-science workflow; ML work needs explicit process, testing, or responsible-AI guidance; delivery. DO NOT USE FOR: generic software delivery with no ML or data-science component; loading all ML references when only one stage is active. INVOKES: inspect the repository context, edit targeted files, and run relevant build, test, lint, or validation commands when changes are made.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 459
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
- 94 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.