Token导航 LogoToken导航

Agent Skill · 研究检索

review-workflow(审查工作流程)

review-workflow 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

review-workflow 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证为 MIT,第三方扫描有未通过项,按安装量在研究检索类的 73,675 个 Skill 里排第 60,042。

总安装 374周安装 15GitHub Stars 9下载 121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
MIT

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:review-workflow(审查工作流程)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/review-workflow
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill review-workflow
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/adaptationio/skrillz --skill review-workflow

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位候选结果。根据关键词或任务场景从来源仓库中获取线索,支持多种宿主环境。通过 npx skills add 命令安装,需结合原始 README 核验具体用法。

安装前建议确认权限范围、维护状态及是否触发联网或文件读写操作。review-workflow 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/review-workflow

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/adaptationio/skrillz --skill review-workflow;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

review-workflow 怎么安装?

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

review-workflow 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。

review-workflow 需要什么权限?

权限级别是只读。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。

review-workflow 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

review-workflow 用的人多吗?

公开数据是累计安装 374 次,近一周安装 15 次,下载 121 次,GitHub 9 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。

review-workflow 安全吗?

第三方扫描有未通过项,风险较高。除非你确认过源码,否则不建议直接安装到常用环境。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
review-workflow

审查工作流程 · 本页

3749只读MIT未通过

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

Review Workflow

Overview

review-workflow provides complete quality assurance by orchestrating three complementary review skills into a comprehensive validation workflow.

Purpose: Complete quality assurance from quality gating through comprehensive review to functional testing

Component Skills:

  1. skill-validator - Pass/fail quality gate (minimum standards)
  2. review-multi - Comprehensive multi-dimensional review (1-5 scoring)
  3. skill-tester - Functional testing in real scenarios

Workflow Pattern: Sequential (validator → review → testing)

Result: Complete quality assessment with deployment decision, quality scores, and functional validation

When to Use

  • Pre-deployment quality assurance (complete validation before release)
  • Comprehensive quality checks (all aspects validated)
  • Certification process (validate skill meets all standards)
  • Major update validation (ensure quality maintained after changes)
  • Quality audit (periodic comprehensive checks)

Review Workflow

Step 1: Quality Gate Validation (skill-validator)

Purpose: Fast pass/fail check - ensures minimum standards met before deeper review

Component Skill: skill-validator

Process:

  1. Run skill-validator on skill
  2. Check all 4 validation operations:

- Structure validation - Content validation - Pattern validation - Production readiness

  1. Result: PASS or FAIL

Decision Point:

  • PASS → Proceed to Step 2 (comprehensive review)
  • FAIL → Stop, fix critical issues, re-run Step 1

Outputs:

  • Validation report (pass/fail)
  • Critical issues list (if failed)
  • Go/no-go decision

Time Estimate: 30-45 minutes


Step 2: Comprehensive Review (review-multi)

Purpose: Multi-dimensional quality assessment with 1-5 scoring

Component Skill: review-multi

Process:

  1. Run all 5 review operations:

- Operation 1: Structure Review (5-10 min, automated) - Operation 2: Content Review (15-30 min, manual) - Operation 3: Quality Review (20-40 min, mixed) - Operation 4: Usability Review (30-60 min, manual testing) - Operation 5: Integration Review (15-25 min, manual)

  1. Calculate weighted overall score
  2. Map to grade (A/B/C/D/F)
  3. Assess production readiness
  4. Generate improvement recommendations

Outputs:

  • Overall score (1.0-5.0)
  • Grade (A/B/C/D/F)
  • Per-dimension scores
  • Production readiness assessment
  • Prioritized improvement recommendations

Time Estimate: 1.5-2.5 hours


Step 3: Functional Testing (skill-tester)

Purpose: Validate skill works correctly in real scenarios

Component Skill: skill-tester

Process:

  1. Run testing operations:

- Scenario Testing (test in realistic use case) - Example Validation (verify examples execute) - Integration Testing (test with other skills if applicable) - Usability Testing (assess ease of use)

  1. Document test results
  2. Identify any functional issues

Outputs:

  • Scenario test results (success/failure)
  • Example validation results (all pass/some fail)
  • Integration test results
  • Usability assessment
  • Functional issues list (if any)

Time Estimate: 45-90 minutes


Post-Workflow: Deployment Decision

After completing all 3 steps:

Aggregate Results

Quality Gate (Step 1):

  • PASS/FAIL status
  • Critical issues (if any)

Comprehensive Review (Step 2):

  • Overall score: X.X/5.0
  • Grade: A/B/C/D/F
  • Production readiness assessment
  • Improvement recommendations

Functional Testing (Step 3):

  • Scenario tests: Pass/Fail
  • Examples: All working/Some broken
  • Integration: Working/Issues
  • Usability: Good/Needs improvement

Make Deployment Decision

Deploy Immediately:

  • Quality Gate: PASS
  • Overall Score: ≥4.5 (Grade A)
  • Functional Tests: All passing
  • Action: Deploy to production

Deploy with Notes:

  • Quality Gate: PASS
  • Overall Score: 4.0-4.4 (Grade B+)
  • Functional Tests: Passing
  • Action: Deploy, note improvements for next iteration

Hold for Improvements:

  • Quality Gate: PASS
  • Overall Score: 3.5-3.9 (Grade B-)
  • OR Functional Tests: Some failures
  • Action: Fix identified issues, re-run workflow

Do Not Deploy:

  • Quality Gate: FAIL
  • OR Overall Score: <3.5 (Grade C-F)
  • OR Functional Tests: Major failures
  • Action: Significant rework required

Best Practices

1. Always Run Complete Workflow

Practice: Run all 3 steps before deployment (don't skip)

Rationale: Each step catches different issues - comprehensive coverage

2. Fix Critical Issues Immediately

Practice: If Step 1 fails, fix issues before proceeding

Rationale: Wastes time to do comprehensive review on skill failing basic validation

3. Document All Findings

Practice: Record results from each step for complete record

Rationale: Enables tracking improvements over time, learning from patterns

4. Apply Improvements Iteratively

Practice: Use Step 2 recommendations to plan next version

Rationale: Continuous improvement - each iteration gets better

5. Re-Run After Major Changes

Practice: Re-run workflow after applying significant improvements

Rationale: Validates improvements effective, no regressions introduced


Quick Reference

The 3-Step Review Workflow

StepSkillPurposeTimeOutput
1skill-validatorQuality gate (pass/fail)30-45mPASS/FAIL, deploy decision
2review-multiComprehensive review (1-5)1.5-2.5hScore, grade, recommendations
3skill-testerFunctional testing45-90mTest results, functional validation

Total Time: 3-4 hours for complete QA

Workflow Pattern

skill-validator (Quality Gate)
    ↓
  PASS? ──No──> Fix issues, retry
    ↓ Yes
review-multi (Comprehensive Review)
    ↓
Overall Score + Grade + Recommendations
    ↓
skill-tester (Functional Testing)
    ↓
Test Results + Usability Assessment
    ↓
Deployment Decision (Deploy/Hold/Rework)

Deployment Decision Matrix

ValidatorReview ScoreTestsDecision
PASS≥4.5 (A)All Pass✅ Deploy Now
PASS4.0-4.4 (B+)All Pass✅ Deploy + Note Improvements
PASS3.5-3.9 (B-)Pass/Some Fail⚠️ Hold - Fix Issues
PASS<3.5 (C-F)Any❌ Rework Required
FAILAnyAny❌ Fix Critical, Retry

Integration with Development

Build skill (development-workflow) →
Review workflow (this skill) →
Apply improvements (skill-updater) →
Re-validate (review-workflow) →
Deploy

review-workflow provides complete quality assurance through orchestrated validation, review, and testing.

平台分布

github-copilot

32.31%
按下载量换算39

Claude Code

22.26%
按下载量换算27

mcpjam

19.75%
按下载量换算24

moltbot

12.64%
按下载量换算15

windsurf

7.31%
按下载量换算9

zencoder

3.74%
按下载量换算5

安全审计

Gen Agent Trust Hub

未通过

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

继续浏览同类 Skills