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Agent Skill · 研究检索

qa-workflow(质量保证工作流程)

qa-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。

qa-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,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 41,921。

总安装 1,126周安装 46GitHub Stars 25下载 364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:qa-workflow(质量保证工作流程)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/qa-workflow
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill qa-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。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 qa-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。

qa-workflow 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景快速定位候选结果。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。

适用于需要从 GitHub 或其他来源提取结构化信息的场景。

来源仓库内路径:skills/qa-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/oimiragieo/agent-studio --skill qa-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

    它需要需要联网,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

qa-workflow 怎么安装?

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

qa-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。

qa-workflow 需要什么权限?

权限级别是需要联网。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。

qa-workflow 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。

qa-workflow 用的人多吗?

公开数据是累计安装 1,126 次,近一周安装 46 次,下载 364 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。

qa-workflow 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

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。
  • 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。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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
qa-workflow

质量保证工作流程 · 本页

1,12625需要联网未明确通过

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

QA Workflow Skill

Overview

Comprehensive quality assurance workflow that validates implementation completeness and correctness, then iterates through fix cycles until approval. You are the last line of defense before shipping.

Core principle: You are the last line of defense. If you approve, the feature ships. Be thorough.

When to Use

Always:

  • After implementation is marked complete
  • Before merging or deploying changes
  • When validating acceptance criteria

Exceptions:

  • Documentation-only changes (may use minimal validation)
  • Trivial fixes with skip_validation flag

Iron Laws

  1. NEVER approve without verifying every acceptance criterion — you are the last line of defense; partial verification equals no verification.
  2. ALWAYS document issues with exact file paths and line numbers — vague reports like "the tests fail" are unfixable and waste the fix loop cycle.
  3. NEVER sign off on implementation with failing tests — all test categories (unit, integration, E2E) must pass before approval, no exceptions.
  4. ALWAYS run the full test suite for regression check — a feature that breaks existing functionality is not production-ready regardless of new test results.
  5. NEVER exceed 5 fix loop iterations without escalating to human review — repeated loops signal a root cause that automated fixes cannot resolve.

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Approving before checking all acceptance criteriaShips bugs disguised as features; breaks the quality contractVerify every criterion in the spec before writing the verdict
Writing vague issue reports ("tests fail", "broken")Developer cannot reproduce or fix what is not precisely describedInclude file path, line number, exact error message, and reproduction steps
Signing off with known failing testsFailing tests are documented bugs being shipped to productionAll tests must pass; if tests are wrong, fix them first and document the change
Only running new tests, not the full regression suiteNew code breaking old functionality is invisible without full suiteAlways run full suite with --coverage; regressions block approval
Fixing more than QA found to "clean things up"Over-fixing introduces new bugs and scope creep into the fix loopApply minimal changes; fix only what QA identified, nothing more

Every acceptance criterion must be verified before approval.

Part 1: QA Review

Phase 0: Load Context

# Read the spec (your source of truth for requirements)
cat .claude/context/specs/[task-name]-spec.md

# Read any previous QA reports
cat .claude/context/reports/qa/qa-report.md 2>/dev/null || echo "No previous report"

# See what files were changed
git diff main...HEAD --name-status

# Read QA acceptance criteria from spec
grep -A 100 "## QA Acceptance" spec.md

Phase 1: Verify All Work Completed

# Check git log for implementation commits
git log --oneline main..HEAD

# Verify expected files were modified
git diff main...HEAD --name-only

STOP if implementation is not complete. QA runs after implementation.

Phase 2: Start Test Environment

# Start services as needed
npm run dev  # or appropriate command

# Verify services are running
curl http://localhost:3000/health 2>/dev/null || echo "Service not responding"

Wait for all services to be healthy before proceeding.

Phase 3: Run Automated Tests

Unit Tests

Run all unit tests for affected areas:

# Run test suite
npm test
# or
pytest
# or
go test ./...

Document results:

UNIT TESTS:
- [area-name]: PASS/FAIL (X/Y tests)
Integration Tests

Run integration tests if applicable:

# Run integration test suite
npm run test:integration

Document results:

INTEGRATION TESTS:
- [test-name]: PASS/FAIL
End-to-End Tests

If E2E tests exist:

# Run E2E test suite
npm run test:e2e

Document results:

E2E TESTS:
- [flow-name]: PASS/FAIL

Phase 4: Manual Verification

For each acceptance criterion in the spec:

  1. Navigate to the relevant area
  2. Verify the criterion is met
  3. Check for console errors
  4. Test edge cases
  5. Document findings
MANUAL VERIFICATION:
- [Criterion 1]: PASS/FAIL
  - Evidence: [what you observed]
- [Criterion 2]: PASS/FAIL
  - Evidence: [what you observed]

Phase 5: Code Review

Security Review

Check for common vulnerabilities:

# Look for security issues
grep -r "eval(" --include="*.js" --include="*.ts" . 2>/dev/null
grep -r "innerHTML" --include="*.js" --include="*.ts" . 2>/dev/null
grep -r "dangerouslySetInnerHTML" --include="*.tsx" --include="*.jsx" . 2>/dev/null

# Check for hardcoded secrets
grep -rE "(password|secret|api_key|token)\s*=\s*['\"][^'\"]+['\"]" . 2>/dev/null
Pattern Compliance

Verify code follows established patterns:

# Compare new code to existing patterns
# Read pattern files, compare structure

Document findings:

CODE REVIEW:
- Security issues: [list or "None"]
- Pattern violations: [list or "None"]
- Code quality: PASS/FAIL

Phase 6: Regression Check

Run full test suite to catch regressions:

# Run ALL tests, not just new ones
npm test -- --coverage

Verify key existing functionality still works.

REGRESSION CHECK:
- Full test suite: PASS/FAIL (X/Y tests)
- Existing features verified: [list]
- Regressions found: [list or "None"]

Phase 7: Generate QA Report

# QA Validation Report

**Task**: [task-name]
**Date**: [timestamp]

## Summary

| Category            | Status    | Details     |
| ------------------- | --------- | ----------- |
| Unit Tests          | PASS/FAIL | X/Y passing |
| Integration Tests   | PASS/FAIL | X/Y passing |
| E2E Tests           | PASS/FAIL | X/Y passing |
| Manual Verification | PASS/FAIL | [summary]   |
| Security Review     | PASS/FAIL | [summary]   |
| Pattern Compliance  | PASS/FAIL | [summary]   |
| Regression Check    | PASS/FAIL | [summary]   |

## Issues Found

### Critical (Blocks Sign-off)

1. [Issue description] - [File/Location]

### Major (Should Fix)

1. [Issue description] - [File/Location]

### Minor (Nice to Fix)

1. [Issue description] - [File/Location]

## Verdict

**SIGN-OFF**: [APPROVED / REJECTED]

**Reason**: [Explanation]

**Next Steps**:

- [If approved: Ready for merge]
- [If rejected: List of fixes needed]

Save report to .claude/context/reports/qa/qa-report.md

Phase 8: Decision

If APPROVED
=== QA VALIDATION COMPLETE ===

Status: APPROVED

All acceptance criteria verified:
- Unit tests: PASS
- Integration tests: PASS
- Manual verification: PASS
- Security review: PASS
- Regression check: PASS

The implementation is production-ready.
Ready for merge.
If REJECTED

Create fix request and proceed to Part 2.


Part 2: QA Fix Loop

Phase 0: Load Fix Request

# Read the QA report with issues
cat .claude/context/reports/qa/qa-report.md

# Identify issues to fix
grep -A 50 "## Issues Found" .claude/context/reports/qa/qa-report.md

Extract from report:

  • Exact issues to fix
  • File locations
  • Required fixes
  • Verification criteria

Phase 1: Parse Fix Requirements

Create a checklist from the QA report:

FIXES REQUIRED:
1. [Issue Title]
   - Location: [file:line]
   - Problem: [description]
   - Fix: [what to do]
   - Verify: [how to check]

2. [Issue Title]
   ...

You must address EVERY issue.

Phase 2: Fix Issues One by One

For each issue:

  1. Read the problem area
  2. Understand what's wrong
  3. Implement the fix
  4. Verify the fix locally

Follow these rules:

  • Make the MINIMAL change needed
  • Don't refactor surrounding code
  • Don't add features
  • Match existing patterns
  • Test after each fix

Phase 3: Run Tests

After all fixes are applied:

# Run the full test suite
npm test

# Run specific tests that were failing
[failed test commands from QA report]

All tests must pass before proceeding.

Phase 4: Self-Verification

Before requesting re-review, verify each fix:

SELF-VERIFICATION:
[ ] Issue 1: [title] - FIXED
    - Verified by: [how you verified]
[ ] Issue 2: [title] - FIXED
    - Verified by: [how you verified]
...

ALL ISSUES ADDRESSED: YES/NO

If any issue is not fixed, go back to Phase 2.

Phase 5: Commit Fixes

# Add fixed files
git add [fixed-files]

# Commit with descriptive message
git commit -m "fix: Address QA issues

Fixes:
- [Issue 1 title]
- [Issue 2 title]

Verified:
- All tests pass
- Issues verified locally"

Phase 6: Signal for Re-Review

=== QA FIXES COMPLETE ===

Issues fixed: [N]

1. [Issue 1] - FIXED
   Commit: [hash]

2. [Issue 2] - FIXED
   Commit: [hash]

All tests passing.
Ready for QA re-validation.

QA Loop Behavior

The QA → Fix → QA loop continues until:

  1. All critical issues resolved
  2. All tests pass
  3. No regressions
  4. QA approves

Maximum iterations: 5

If max iterations reached without approval:

  • Escalate to human review
  • Document all remaining issues
  • Save detailed report

Severity Guidelines

CRITICAL - Blocks sign-off:

  • Failing tests
  • Security vulnerabilities
  • Missing required functionality
  • Data corruption risks

MAJOR - Should fix:

  • Missing edge case handling
  • Performance issues
  • UX problems
  • Pattern violations

MINOR - Nice to fix:

  • Style inconsistencies
  • Documentation gaps
  • Minor optimizations

Verification Checklist

Before approving:

  • All unit tests pass
  • All integration tests pass
  • All E2E tests pass (if applicable)
  • Manual verification of acceptance criteria
  • Security review complete
  • Pattern compliance verified
  • No regressions found
  • QA report generated

Common Mistakes

Approving Too Quickly

Why it's wrong: Shipping bugs to users.

Do this instead: Check EVERYTHING in the acceptance criteria.

Vague Issue Reports

Why it's wrong: Developer can't fix what they don't understand.

Do this instead: Exact file paths, line numbers, reproducible steps.

Fixing Too Much

Why it's wrong: Introducing new bugs while fixing old ones.

Do this instead: Minimal changes. Fix only what QA found.

Integration with Other Skills

This skill works well with:

  • complexity-assessment: Determines validation depth
  • tdd: Use TDD to write tests for fixes
  • debugging: Use when investigating test failures

Memory Protocol

Before starting: Read .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: If it's not in memory, it didn't happen.

平台分布

Codex

37.84%
按下载量换算138

Claude

32.34%
按下载量换算118

Cursor

17.85%
按下载量换算65

Gemini CLI

8.74%
按下载量换算32

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。目前只有一个公开来源,建议同时核对源仓库。

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