agent-evaluation

agent-evaluation is a Skill evaluation & testing skill for AI agents, published by diegosouzapw in the awesome-omni-skills repository on GitHub. Skillspace rates agent-evaluation F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Agent Evaluation workflow skill. Use this skill when the user needs Testing and benchmarking LLM agents including behavioral testing, and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
79

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
83 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 1 collections

What the scanner flagged

  • prompt-injection: ignore-previous

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.