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evaluate-improve评估改进

Agent Skill

evaluate-improve 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

242

周安装

10

GitHub Stars

28

下载量

79
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:evaluate-improve(评估改进)
来源仓库:https://github.com/laurigates/claude-plugins
仓库路径:skills/evaluate-improve
安装命令:
npx skills add https://github.com/laurigates/claude-plugins --skill evaluate-improve
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/laurigates/claude-plugins --skill evaluate-improve

简介

evaluate-improve 用于分析技能评估结果并提出具体改进建议,提升 pass rate。

  • 适用于迭代优化技能描述或结构调整,但不替代合规性检查。
  • 输入为 $ARGUMENTS 参数,输出为 actionable 的修改方向列表。
  • 安装前需确认是否有权修改目标技能文件及相关元数据。
  • 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

/evaluate:improve

Analyze evaluation results and suggest concrete improvements to a skill.

When to Use This Skill

Use this skill when...Use alternative when...
Have eval results and want to improve the skillNeed to run evals first -> /evaluate:skill
Want to improve skill description for better triggeringWant to view raw results -> /evaluate:report
Iterating on a skill to increase pass rateWant to file a bug -> /feedback:session
Optimizing skill instructions after benchmarkingNeed structural fixes -> plugin-compliance-check.sh

Parameters

Parse these from $ARGUMENTS:

ParameterDefaultDescription
<plugin/skill-name>requiredPath as plugin-name/skill-name
--applyfalseApply approved changes to SKILL.md
--description-onlyfalseFocus on description improvements only

Execution

Step 1: Load eval results

Read the most recent benchmark from:

<plugin-name>/skills/<skill-name>/eval-results/benchmark.json

If no results exist, suggest running /evaluate:skill first and stop.

Also read the current SKILL.md to understand the skill.

Step 2: Analyze results

Delegate analysis to the eval-analyzer agent via Task:

Task subagent_type: eval-analyzer
Prompt: Analyze these evaluation results and identify improvement opportunities.
  Skill: <path to SKILL.md>
  Benchmark: <benchmark.json contents>
  Mode: comparison (if baseline data exists) or benchmark (otherwise)

The analyzer produces categorized suggestions:

  • instructions: Execution flow improvements
  • description: Better intent-matching text
  • examples: Missing or insufficient examples
  • error_handling: Missing edge cases
  • tools: Better tool configurations
  • structure: Organizational improvements

Step 3: Filter suggestions

If --description-only, filter to only description category suggestions.

Sort remaining suggestions by priority (high > medium > low).

Step 4: Present suggestions

Present the categorized suggestions to the user:

## Improvement Suggestions: <plugin/skill-name>

Current pass rate: 72%

### High Priority

1. **[instructions]** Add explicit error handling for missing git config
   Evidence: eval-003 fails because the skill doesn't check for git user.name

2. **[description]** Add "conventional commit" as trigger phrase
   Evidence: Skill not selected when user says "make a conventional commit"

### Medium Priority

3. **[examples]** Add breaking change example to execution steps
   Evidence: eval-004 inconsistently handles breaking changes

### Low Priority

4. **[structure]** Move flag reference to Quick Reference table
   Evidence: Flags scattered across multiple sections

If --apply is NOT set, stop here.

Step 5: Apply changes (if --apply)

Use AskUserQuestion to let the user select which suggestions to apply:

Which improvements should I apply?
[x] Add error handling for missing git config
[x] Add trigger phrases to description
[ ] Add breaking change example
[ ] Restructure flag reference

For each approved suggestion:

  1. Read the current SKILL.md
  2. Apply the change using Edit
  3. Update the modified date in frontmatter

After applying changes, update (or create) the history file at:

<plugin-name>/skills/<skill-name>/eval-results/history.json

Add a new iteration entry recording:

  • Version number (increment from previous)
  • Timestamp
  • Pass rate from current benchmark
  • Summary of changes made

Step 6: Suggest re-evaluation

After applying changes, suggest:

Changes applied. Run `/evaluate:skill <plugin/skill-name>` to measure improvement.

Agentic Optimizations

ContextCommand
Read benchmark`cat <plugin>/skills/<skill>/eval-results/benchmark.json \jq.summary`
Read skillcat <plugin>/skills/<skill>/SKILL.md
Read history`cat <plugin>/skills/<skill>/eval-results/history.json \jq '.iterations[-1]'`
Check pass rate`cat <plugin>/skills/<skill>/eval-results/benchmark.json \jq '.summary.with_skill.mean_pass_rate'`

Quick Reference

FlagDescription
--applyApply approved changes to SKILL.md
--description-onlyFocus on description improvements only

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

Claude

33.03%
按下载量换算26

Codex

32.21%
按下载量换算25

Cursor

17.74%
按下载量换算14

Gemini CLI

9.85%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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