evaluation-rubric

evaluation-rubric is a Plan & work review gates skill for AI agents, published by ZTE-AICloud in the Co-OmniSpec repository on GitHub. Skillspace rates evaluation-rubric D (65/100) and it passed the safety scan; the rating is based on static analysis only.

Spec 产出物内容质量评测量规。定义四维评分（业务价值、技术完整性、清晰度与可测性、可追溯性）的检查项、打分标准、YAML 报告格式。由 evaluation-analyst（Eva）引用，适用于 spec_eval 模式。

Grade
D
Quality
65 / 100
Safety
Passed
GitHub stars
48

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 GitHubZTE-AICloud/Co-OmniSpec

Our review

Architecture
94 / 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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