streamling-udf-plugin
streamling-udf-plugin is a Streaming & real-time data skill for AI agents, published by goldsky-io in the streamling repository on GitHub. Skillspace rates streamling-udf-plugin D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Use when implementing a streamling DataFusion scalar UDF — a custom function callable from pipeline SQL (SELECT my_func(col) FROM ...). Covers the ScalarUDFImpl trait, the modern invoke_with_args / ScalarFunctionArgs API, argument validation and downcasting, null propagation, return_type vs return_field_from_args, volatility, both registration macros, and the create_udf legacy path. Assumes streamling-plugin-basics.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 83
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
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Plugin-authoring guide for the public streamling DataFusion UDF API
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
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