swift-ai-sdk-upstream
swift-ai-sdk-upstream is an LLM app frameworks & APIs skill for AI agents, published by teunlao in the swift-ai-sdk repository on GitHub. Skillspace rates swift-ai-sdk-upstream B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Use for Swift AI SDK upstream parity management: refresh or inspect Vercel AI SDK baselines, scan upstream package coverage, classify drift, plan provider/core/docs audits, land parity fixes with tests, and maintain generated local artifacts under .upstream/ plus durable evidence in upstream/*.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 142
Unproven: rated by static analysis only, not yet compared head-to-head.
Not launch-quality. It is graded B with a clean safety verdict, but our quality filters exclude it: it looks written only for the repository it lives in. So it is not in our launch-quality set, the skills our MCP server searches and recommends. How launch-quality is decided
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
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
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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