gff-gtf-pushdown-regression
gff-gtf-pushdown-regression is a Physics, mathematics & simulation skill for AI agents, published by biodatageeks in the polars-bio repository on GitHub. Skillspace rates gff-gtf-pushdown-regression D (66/100) and it passed the safety scan; the rating is based on static analysis only.
Validate polars_bio GFF/GTF predicate and projection pushdown for correctness and performance against real GENCODE data, using oxbow as an independent reference reader. Use this whenever you touch the pushdown path — the predicate translator (predicate_translator.py), the shared helpers (pushdown.py), the scan call sites (io.py _overlap_source / the GFF/GTF select() wrapper, utils.py, pileup_op.py), scan_gtf/scan_gff, or anything about predicate/projection pushdown, filter pushdown, attribute fields, or the issue #396 / PR #407 work — and any time you want to confirm a filtered or projected scan returns identical results with pushdown on vs off, or to benchmark how much pushdown actually speeds a query up. Reach for it before claiming a pushdown change is correct.
- Grade
- D
- Quality
- 66 / 100
- Safety
- Passed
- GitHub stars
- 174
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
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Our review
- Architecture
- 84 / 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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