ai-evaluation-engineering
ai-evaluation-engineering is an LLM evaluation & observability skill for AI agents, published by devcodex-labs in the devcodex repository on GitHub. Skillspace rates ai-evaluation-engineering D (61/100) and it passed the safety scan; the rating is based on static analysis only.
AI 评测工程专家 Owner — 当任务涉及模型/Prompt 评测、模型选择、黄金集、评分量表、LLM-as-judge、Judge 校准、重复采样、方差、质量-成本-延迟权衡、提示词回归或模型升级回归时使用；要求把概率性结果转化为可复现、可比较且防污染的评测证据。
- Grade
- D
- Quality
- 61 / 100
- Safety
- Passed
- GitHub stars
- 194
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, so go by its current files.
Our review
- Architecture
- 94 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
- 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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