Apache Spark Catalyst API
Apache Spark Catalyst API is a Data pipelines & ETL skill for AI agents, published by aehrc in the pathling repository on GitHub. Skillspace rates Apache Spark Catalyst API F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Expert guidance for working with the Apache Spark Catalyst query optimisation framework. Use this skill when working with Spark SQL internals, creating custom expressions, implementing query optimisations, working with logical/physical plans, or extending Catalyst. Trigger keywords include "catalyst", "spark sql", "expression", "logical plan", "physical plan", "tree node", "query optimisation", "rule executor", "analyzer", "optimizer", "code generation".
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 130
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.
Our review
- Architecture
- 78 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
What the scanner flagged
- dynamic code execution (eval/exec)
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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