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qcsd-refinement-swarmqcsd 细化群

Agent Skill

qcsd-refinement-swarm 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。

总安装

1,327

周安装

57

GitHub Stars

329

下载量

465
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:qcsd-refinement-swarm(qcsd 细化群)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/qcsd-refinement-swarm
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qcsd-refinement-swarm
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/proffesor-for-testing/agentic-qe --skill qcsd-refinement-swarm

简介

用于对已有信息进行细化与优化建议提取,适合在方案评审、文档梳理或流程改进时提升质量。

  • 支持多角度分析与结构重组,帮助聚焦关键问题、消除冗余并增强可读性与可操作性。
  • 通过 npx 命令从指定仓库安装,需确认是否涉及外部调用或数据读写权限。
  • 建议结合具体用例测试输出稳定性,并参考原始文档了解适用边界与使用限制。
  • qcsd-refinement-swarm 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

QCSD Refinement Swarm v1.0

Shift-left quality engineering swarm for Sprint Refinement sessions.


Overview

The Refinement Swarm takes user stories that passed Ideation and prepares them for Sprint commitment using SFDIPOT product factors, BDD scenarios, and INVEST validation. It renders a READY / CONDITIONAL / NOT-READY decision.

QCSD Phase Positioning

PhaseSwarmDecisionWhen
Ideationqcsd-ideation-swarmGO / CONDITIONAL / NO-GOPI/Sprint Planning
Refinementqcsd-refinement-swarmREADY / CONDITIONAL / NOT-READYSprint Refinement
Developmentqcsd-development-swarmSHIP / CONDITIONAL / HOLDDuring Sprint
Verificationqcsd-cicd-swarmRELEASE / REMEDIATE / BLOCKPre-Release / CI-CD
Productionqcsd-production-swarmHEALTHY / DEGRADED / CRITICALPost-Release

Parameters

  • STORY_CONTENT: User story with acceptance criteria (required)
  • OUTPUT_FOLDER: Where to save reports (default: ${PROJECT_ROOT}/Agentic QCSD/refinement/)

ENFORCEMENT RULES - READ FIRST

RuleEnforcement
E1MUST spawn ALL THREE core agents in Step 2.
E2MUST put all parallel Task calls in a SINGLE message.
E3MUST STOP and WAIT after each batch.
E4MUST spawn conditional agents if flags are TRUE.
E5MUST apply READY/CONDITIONAL/NOT-READY logic exactly.
E6MUST generate the full report structure.
E7Each agent MUST read its reference files before analysis.
E8MUST apply qe-test-idea-rewriter transformation in Step 8.
E9MUST execute Step 7 learning persistence.

Step Execution Protocol

Execute steps sequentially by reading each step file with the Read tool.

Steps

  1. Flag Detection -- steps/01-flag-detection.md -- Analyze story content, evaluate all 7 flags
  2. Core Agents -- steps/02-core-agents.md -- Spawn qe-product-factors-assessor, qe-bdd-generator, qe-requirements-validator
  3. Batch 1 Results -- steps/03-batch1-results.md -- Wait and extract metrics
  4. Conditional Agents -- steps/04-conditional-agents.md -- Spawn flagged agents
  5. Decision Synthesis -- steps/05-decision-synthesis.md -- Apply READY/CONDITIONAL/NOT-READY logic
  6. Report Generation -- steps/06-report-generation.md -- Generate refinement report
  7. Learning Persistence -- steps/07-learning-persistence.md -- Store findings to memory
  8. Transformation -- steps/08-transformation.md -- Run test idea rewriter on all test ideas
  9. Final Output -- steps/09-final-output.md -- Display completion summary

Execution Instructions

  1. Use the Read tool to load the current step file
  2. Execute the step's instructions completely
  3. Verify all success criteria are met
  4. Pass output as context to next step
  5. If a step fails, halt and report

Resume Support

To resume from a specific step: specify --from-step N.


Agent Inventory

AgentTypeDomainBatch
qe-product-factors-assessorCorerequirements-validation1
qe-bdd-generatorCorerequirements-validation1
qe-requirements-validatorCorerequirements-validation1
qe-contract-validatorConditional (HAS_API)contract-testing2
qe-impact-analyzerConditional (HAS_REFACTORING)code-intelligence2
qe-dependency-mapperConditional (HAS_DEPENDENCIES)code-intelligence2
qe-middleware-validatorConditional (HAS_MIDDLEWARE)enterprise-integration2
qe-odata-contract-testerConditional (HAS_SAP_INTEGRATION)enterprise-integration2
qe-sod-analyzerConditional (HAS_AUTHORIZATION)enterprise-integration2
qe-test-idea-rewriterTransformation (always)test-generation3

Total: 10 agents (3 core + 6 conditional + 1 transformation)


Key Principle

Refinement quality determines sprint success. This swarm ensures stories are testable, complete, and ready for development commitment.

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

34.25%
按下载量换算159

Claude

31.05%
按下载量换算144

Cursor

17.48%
按下载量换算81

Gemini CLI

8.97%
按下载量换算42

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qcsd-refinement-swarm 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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