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Agent Skill · 运维和基础设施

response-rater(React 评估者)

response-rater 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。

response-rater 是运维和基础设施类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证信息还不明确,暂无第三方扫描结果,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 861。

总安装 1,395周安装 57GitHub Stars 25下载 447核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:response-rater(React 评估者)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/response-rater
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill response-rater
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/oimiragieo/agent-studio --skill response-rater

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

response-rater 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。它能协助 Agent 自动响应协作事件并生成结构化反馈。

可通过 npx skills add 命令从指定 GitHub 仓库安装该技能。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。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。

来源仓库内路径:skills/response-rater

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/oimiragieo/agent-studio --skill response-rater;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

response-rater 怎么安装?

在终端执行 npx skills add https://github.com/oimiragieo/agent-studio --skill response-rater。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

response-rater 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

response-rater 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

response-rater 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

response-rater 用的人多吗?

公开数据是累计安装 1,395 次,近一周安装 57 次,下载 447 次,GitHub 25 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

response-rater 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理运维和基础设施类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
response-rater

React 评估者 · 本页

1,39525调用外部服务未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Response Rater Skill

Step 1: Define Rating Rubric

Use appropriate rubric for the content type:

For Plans:

DimensionWeightDescription
Completeness20%All required sections present
Feasibility20%Plan is realistic and achievable
Risk Mitigation20%Risks identified with mitigations
Agent Coverage20%Appropriate agents assigned
Integration20%Fits with existing systems

For Responses:

DimensionWeightDescription
Correctness25%Technically accurate
Completeness25%Addresses all requirements
Clarity25%Easy to understand
Actionability25%Provides clear next steps

Step 2: Evaluate Each Dimension

Score each dimension 1-10:

## Dimension Scores

### Completeness: 8/10

- Has objectives, steps, and timeline
- Missing risk assessment section

### Feasibility: 7/10

- Most steps are achievable
- Step 3 timeline is aggressive

### Risk Mitigation: 5/10

- Only 1 risk identified
- No mitigation strategies

### Agent Coverage: 9/10

- All steps have assigned agents
- Good agent-task matching

### Integration: 8/10

- Uses existing APIs
- Minor compatibility concerns

Step 3: Calculate Overall Score

Average the weighted scores:

Overall = (8×0.2) + (7×0.2) + (5×0.2) + (9×0.2) + (8×0.2) = 7.4/10

Step 4: Generate Recommendations

Provide actionable improvements:

## Recommendations

### High Priority

1. Add risk assessment section with 3-5 risks
2. Include mitigation strategies for each risk

### Medium Priority

3. Extend Step 3 timeline by 2 days
4. Add fallback plan for external API dependency

### Low Priority

5. Add success metrics for each step

Step 5: Make Pass/Fail Decision

Apply minimum score thresholds:

Task TypeMinimum Score
Standard7/10
Enterprise8/10
Critical9/10
## Decision

**Score**: 7.4/10
**Threshold**: 7/10 (Standard)
**Result**: PASS ✅

Plan approved with recommendations for improvement.

</execution_process>

<best_practices>

  1. Consistent Rubrics: Use same dimensions for comparable content
  2. Clear Thresholds: Define pass/fail criteria upfront
  3. Actionable Feedback: Provide specific improvements
  4. Prioritize Issues: Order recommendations by impact
  5. Document Rationale: Explain score justifications

</best_practices>

Rate this plan for user authentication implementation

Response:

## Plan Rating: User Authentication

### Scores

- Completeness: 8/10 - Good structure, missing tests section
- Feasibility: 9/10 - Realistic timeline and approach
- Risk Mitigation: 6/10 - Only 1 risk identified
- Agent Coverage: 9/10 - Good agent assignments
- Integration: 8/10 - Compatible with existing auth

### Overall: 8.0/10 ✅ PASS

### Top Recommendations

1. Add risk section with security and dependency risks
2. Include test plan for each authentication flow
3. Add rollback procedure for failed deployment

</usage_example>

Iron Laws

  1. ALWAYS use the same rubric dimensions when rating comparable content — inconsistent dimensions make scores meaningless and prevent valid comparison across sessions.
  2. NEVER issue a pass/fail decision without documenting score justification for each dimension — unjustified scores cannot be reviewed, challenged, or improved.
  3. ALWAYS apply defined minimum thresholds (7/10 standard, 8/10 enterprise, 9/10 critical) — ad-hoc thresholds produce inconsistent approval gates that erode trust in the rating system.
  4. NEVER provide vague recommendations — every recommendation must reference the specific dimension it addresses and state the concrete change required.
  5. ALWAYS prioritize recommendations by impact — high-priority items that would materially improve the score must be clearly distinguished from low-impact suggestions.

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Using different rubric dimensions for comparable contentScores cannot be compared across sessions; the rating loses its evaluative valueAlways use the same rubric (plans rubric for plans, responses rubric for responses)
Omitting score justification for individual dimensionsScores without justification cannot be reviewed, verified, or acted uponDocument specific evidence for each dimension score (what was present, what was missing)
Setting thresholds arbitrarily per sessionInconsistent thresholds invalidate the pass/fail gate; teams lose confidence in approvalsAlways apply the defined thresholds: 7/10 standard, 8/10 enterprise, 9/10 critical
Providing vague recommendations ("improve quality", "add more detail")Vague feedback cannot be acted upon; no change results from the reviewReference the specific dimension, score gap, and required concrete change for each recommendation
Listing recommendations without priority orderingEqual-weight feedback causes raters to address low-impact items firstAlways order by impact: High (affects pass/fail threshold) before Medium before Low

Memory Protocol (MANDATORY)

Before starting:

cat .claude/context/memory/learnings.md

After completing:

  • New pattern -> .claude/context/memory/learnings.md
  • Issue found -> .claude/context/memory/issues.md
  • Decision made -> .claude/context/memory/decisions.md
ASSUME INTERRUPTION: Your context may reset. If it's not in memory, it didn't happen.

平台分布

Codex

35.03%
按下载量换算157

Claude

28.37%
按下载量换算127

Cursor

17.71%
按下载量换算79

Gemini CLI

9.44%
按下载量换算42

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。目前只有一个公开来源,建议同时核对源仓库。

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