verify-apply
verify-apply is a Data pipelines & ETL skill for AI agents, published by FrontisAI in the NatureBench repository on GitHub. Skillspace rates verify-apply C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Apply corrections from filter-verify (verification_result.json) or data-verify (data_verify_result.json) to filter_result.json. User specifies source type explicitly. Applies field-level and structural corrections, performs inline verification for new/modified settings, writes change log.
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 72
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, so go by its current files.
Our review
- Architecture
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- over-broad allowed-tools ('*')
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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