output-dev-eval-testing

output-dev-eval-testing is an LLM evaluation & observability skill for AI agents, published by growthxai in the output repository on GitHub. Skillspace rates output-dev-eval-testing D (66/100) and it passed the safety scan; the rating is based on static analysis only.

Create offline evaluation tests for Output SDK workflows using @outputai/evals. Use when implementing test evaluators with verify(), creating dataset YAML files, building eval workflows, or running workflow tests via CLI.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
426

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 GitHubgrowthxai/output

Our review

Architecture
96 / 100
Maturity
Basic: a single SKILL.md
Security scan
No issues found
License
Apache-2.0
Adoption
Adopted by 0 other repositories, in 0 collections

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

Better-rated skills in LLM evaluation & observability

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.