one-eval
one-eval is an LLM evaluation & observability skill for AI agents, published by OpenDCAI in the One-Eval repository on GitHub. Skillspace rates one-eval D (69/100) and it passed the safety scan; the rating is based on static analysis only.
驱动 One-Eval 对「纯文本 LLM」做端到端评测。当用户想评测一个模型（API 或本地 vLLM）在某些 benchmark 上的表现、对比多个 benchmark 分数、补充多维度 metric、或生成图文评测报告时使用本 skill。
- Grade
- D
- Quality
- 69 / 100
- Safety
- Passed
- GitHub stars
- 155
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
- 86 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Apache-2.0
- 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.