evaluate-openai
evaluate-openai is an LLM evaluation & observability skill for AI agents, published by dokimos-dev in the dokimos repository on GitHub. Skillspace rates evaluate-openai D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Sets up evaluation of an OpenAI Java SDK agent using Dokimos. Use this skill when the user wants to evaluate, test, or benchmark an agent built directly on the OpenAI Java SDK that uses tools (function calling), or assess its tool call correctness, task completion, or argument hallucination. Also use when the user mentions OpenAI function calling evaluation or evaluating an OpenAI tool-calling loop with Dokimos.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 46
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- 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
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