eval-check
eval-check is a Skill evaluation & testing skill for AI agents, published by opendatahub-io in the agent-eval-harness repository on GitHub. Skillspace rates eval-check C (70/100) and it passed the safety scan; the rating is based on static analysis only.
Evaluate the full harness configuration as a system. Scans all skills, commands, CLAUDE.md, and hooks for redundancy, overlap, type misclassification, and structural issues. Produces an informational report with restructuring suggestions. Use when the user wants to check their overall setup health, find redundant skills, detect overlapping triggers, or get restructuring recommendations before diving into individual skill evaluation. Triggers on "check my setup", "harness health", "are my skills redundant", "what should I merge", "setup overview", "configuration check".
- Grade
- C
- Quality
- 70 / 100
- Safety
- Passed
- GitHub stars
- 34
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
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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