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evaluation-criteria评价标准

Agent Skill

evaluation-criteria 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

235

周安装

10

GitHub Stars

2

下载量

82
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:evaluation-criteria(评价标准)
来源仓库:https://github.com/masanao-ohba/claude-manifests
仓库路径:skills/evaluation-criteria
安装命令:
npx skills add https://github.com/masanao-ohba/claude-manifests --skill evaluation-criteria
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/masanao-ohba/claude-manifests --skill evaluation-criteria

简介

evaluation-criteria 用于建立可复用的交付物评价标准,支持质量评估、需求符合度打分和通过/失败判定。

  • 适用于代码审查、功能验收、文档评审等需要客观评分的场景,帮助 Agent 制定清晰的质量维度。
  • 使用时需先定义具体评价维度和权重,再对产出进行结构化打分与反馈,形成闭环评估流程。
  • 安装前请确认仓库权限、维护状态及是否涉及网络或文件操作,建议结合项目实际需求调整评价项。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Evaluation Criteria

A technology-agnostic skill for defining how deliverables should be evaluated.

Core Purpose

Establish consistent, objective criteria for:

  • Assessing deliverable quality
  • Scoring against requirements
  • Making pass/fail determinations
  • Providing constructive feedback

Evaluation Dimensions

Completeness

dimension: completeness
question: "Is everything required present?"

criteria:
  functionality:
    - "All specified functions implemented"
    - "All user stories addressed"
    - "All acceptance criteria met"

  coverage:
    - "All edge cases handled"
    - "All error paths covered"
    - "All integrations connected"

  documentation:
    - "Required documentation present"
    - "API documentation complete"
    - "Comments where needed"

scoring:
  pass: "100% of must-have items present"
  fail: "Any must-have item missing"

Correctness

dimension: correctness
question: "Does it work correctly?"

criteria:
  functional:
    - "Business logic accurate"
    - "Calculations correct"
    - "Data transformations valid"

  behavioral:
    - "Expected outputs produced"
    - "Error handling appropriate"
    - "Edge cases handled correctly"

  integration:
    - "External systems connected"
    - "Data flows correctly"
    - "APIs respond correctly"

scoring:
  pass: "All tests pass, no logic errors"
  fail: "Any test failure or logic error"

Quality

dimension: quality
question: "Is it well-built?"

criteria:
  code_standards:
    - "Follows project conventions"
    - "No linting errors"
    - "Consistent formatting"

  architecture:
    - "Follows design patterns"
    - "Proper separation of concerns"
    - "Dependencies managed correctly"

  maintainability:
    - "Code is readable"
    - "Complexity manageable"
    - "No code smells"

scoring:
  pass: "No critical issues, minimal major issues"
  fail: "Critical issues present"

Security

dimension: security
question: "Is it secure?"

criteria:
  vulnerabilities:
    - "No SQL injection"
    - "No XSS vulnerabilities"
    - "No CSRF vulnerabilities"

  authentication:
    - "Proper auth checks"
    - "Secure password handling"
    - "Session management correct"

  data_protection:
    - "Sensitive data encrypted"
    - "PII handled correctly"
    - "Audit logging present"

scoring:
  pass: "No security vulnerabilities found"
  fail: "Any security vulnerability present"

Performance

dimension: performance
question: "Does it perform well?"

criteria:
  response_time:
    - "API response < 200ms (95th percentile)"
    - "Page load < 3 seconds"

  resource_usage:
    - "Memory usage reasonable"
    - "CPU usage efficient"
    - "No memory leaks"

  scalability:
    - "Handles expected load"
    - "No N+1 queries"
    - "Caching implemented where needed"

scoring:
  pass: "Meets performance thresholds"
  fail: "Below performance thresholds"

Scoring System

Severity Classification

severity_levels:
  critical:
    definition: "Must fix before acceptance"
    examples:
      - "Security vulnerability"
      - "Data corruption risk"
      - "Core functionality broken"
    impact: "Automatic FAIL"

  major:
    definition: "Should fix before acceptance"
    examples:
      - "Logic errors"
      - "Missing tests"
      - "Performance issues"
    impact: "Accumulate to threshold"

  minor:
    definition: "Can fix later"
    examples:
      - "Style improvements"
      - "Documentation gaps"
      - "Minor optimizations"
    impact: "Noted but not blocking"

Pass/Fail Determination

pass_criteria:
  all_of:
    - "No critical issues"
    - "Critical dimensions pass (completeness, correctness, security)"
  threshold:
    - "Major issues <= 3"
    - "Overall score >= 80%"

fail_criteria:
  any_of:
    - "Any critical issue present"
    - "Critical dimension fails"
    - "Major issues > 5"
    - "Overall score < 60%"

Output Format

evaluation:
  overall_verdict: PASS|FAIL
  overall_score: <0-100>

  dimensions:
    completeness:
      score: <0-100>
      status: PASS|FAIL
      issues: [...]

    correctness:
      score: <0-100>
      status: PASS|FAIL
      issues: [...]

    quality:
      score: <0-100>
      status: PASS|FAIL
      issues: [...]

    security:
      score: <0-100>
      status: PASS|FAIL
      issues: [...]

    performance:
      score: <0-100>
      status: PASS|FAIL
      issues: [...]

  issue_summary:
    critical: <count>
    major: <count>
    minor: <count>

  feedback:
    - "<actionable feedback item>"

Integration

Used By Agents

primary_users:
  - deliverable-evaluator: "Core evaluation methodology"
  - quality-reviewer: "Quality assessment"

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.29%
按下载量换算28

Claude

31.69%
按下载量换算26

Cursor

18.71%
按下载量换算15

Gemini CLI

8.16%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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