evaluate-environments
evaluate-environments is an LLM evaluation & observability skill for AI agents, published by PrimeIntellect-ai in the verifiers repository on GitHub. Skillspace rates evaluate-environments D (65/100) and it passed the safety scan; the rating is based on static analysis only.
Run and evaluate verifiers environments. Set up the necessary config files and observe the runs and their results.
- Grade
- D
- Quality
- 65 / 100
- Safety
- Passed
- GitHub stars
- 4,365
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
- 91 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Vendor-specific: built around one product. Running evaluations with the public verifiers and prime CLI
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
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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