data-verify

data-verify is an LLM evaluation & observability skill for AI agents, published by FrontisAI in the NatureBench repository on GitHub. Skillspace rates data-verify D (67/100) and it passed the safety scan; the rating is based on static analysis only.

Verify data components in filter_result.json after data-check. Checks Algorithm A boundary, evaluation setting validity, separability correctness, data directory integrity, and description consistency. Outputs a verification report for human review — does not modify filter_result.json or data directories.

Grade
D
Quality
67 / 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.

View source on GitHubFrontisAI/NatureBench

Our review

Architecture
94 / 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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