fenic-mechanics
fenic-mechanics is an LLM app frameworks & APIs skill for AI agents, published by typedef-ai in the fenic repository on GitHub. Skillspace rates fenic-mechanics D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Use when writing, editing, or debugging code that uses fenic (the `fenic` Python library, imported as `import fenic as fc`) — the semantic-DataFrame engine with LLM operators (semantic.map/extract/classify/predicate/reduce, embeddings), jq/markdown/transcript processing, chunking, and fuzzy matching. Covers fenic's import & namespace structure, semantic-operator calling conventions, model/session config, and known silent-failure traps. NOT for plain PySpark, pandas, or Polars code.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 540
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
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- 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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