run-assert-eval
run-assert-eval is an LLM evaluation & observability skill for AI agents, published by responsibleai in the ASSERT repository on GitHub. Skillspace rates run-assert-eval 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.
Run an ASSERT evaluation from a plain-language behavior requirement. Use when the user wants to evaluate, test, or check an AI agent, LLM app, or model against requirements/policies (e.g. "evaluate my agent for budget violations", "test that the support bot never gives legal advice"). Generates or reuses an eval_config.yaml, runs the pipeline, and reports pass/violation rates with trace-cited failure examples.
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 198
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
- 84 / 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
- references sensitive credential env
- 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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