rerun-catalog-queries
rerun-catalog-queries is a Data pipelines & ETL skill for AI agents, published by rerun-io in the rerun repository on GitHub. Skillspace rates rerun-catalog-queries D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Performance patterns and gotchas for querying a Rerun catalog from Python. Reach for this when a CatalogClient/dataset query is unexpectedly slow, or when shaping a per-segment / per-episode pipeline that hits the catalog from many places.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 11,133
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
- 96 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 2 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Querying the public Rerun catalog API from Python
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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