rtl-acquire
rtl-acquire is a Data pipelines & ETL skill for AI agents, published by ShenShan123 in the r2g-skills repository on GitHub. Skillspace rates rtl-acquire 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.
Discover, screen, and acquire RTL at corpus scale (local trees, repo manifests, keyword search) and expand it — synthesis-only, MANY designs per round — into pre-layout netlist_graph.pt PyG graphs with dedup, quality scoring, and publish gating. Use for growing a training corpus of netlist graphs from found RTL. NOT for taking one design to GDS/signoff (that is signoff-loop) and NOT for post-layout graph datasets from DEF/SPEF (that is def-graph).
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 41
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.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- references sensitive credential env
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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