eval-lint
eval-lint is a Skill evaluation & testing skill for AI agents, published by mifunedev in the openharness repository on GitHub. Skillspace rates eval-lint 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.
Score every eval probe (.oh/evals/probes/*.sh) and capability benchmark task (.oh/evals/capability/tasks/CB-*.md + repo-orientation) across seven anti-Goodhart failure modes and emit a KEEP/GROOM/CUT matrix. Read-only by default — like /skill-lint, it only reads and prints; it never mutates a probe or capability file. Deterministic file/grep/git/stat scoring, no LLM judgment. TRIGGER when: asked to lint the eval suite, groom the probes, check for Goodharted / stale / duplicate / always-SKIP probes, audit the capability benchmark tasks, "eval lint", or before/after adding probes.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 24
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.
Our review
- Architecture
- 80 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- High-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- dynamic code execution (eval/exec)
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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.