Token导航 LogoToken导航

Agent Skill · 研究检索

qcsd-ideation-swarm(qcsd 创意群)

qcsd-ideation-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。

qcsd-ideation-swarm 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,权限为操作浏览器;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 39,123。

总安装 1,458周安装 59GitHub Stars 329下载 458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:qcsd-ideation-swarm(qcsd 创意群)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/qcsd-ideation-swarm
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qcsd-ideation-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-ideation-swarm

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。

用于创意发散与线索检索,适合在关键词探索、场景拆解或来源调研时快速定位候选信息。支持多轮筛选与来源聚合,可结合任务目标整理思路、发现关联点或验证假设方向。通过 npx 命令从指定仓库安装,需确认权限范围与网络访问能力,避免触发敏感操作。

建议先查阅原始 README 了解参数用法,并在测试环境验证其对文件、命令的实际影响。qcsd-ideation-swarm 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/qcsd-ideation-swarm

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/proffesor-for-testing/agentic-qe --skill qcsd-…;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

    它需要操作浏览器,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

qcsd-ideation-swarm 怎么安装?

在终端执行 npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qcsd-ideation-s…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

qcsd-ideation-swarm 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。

qcsd-ideation-swarm 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

qcsd-ideation-swarm 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。

qcsd-ideation-swarm 用的人多吗?

公开数据是累计安装 1,458 次,近一周安装 59 次,下载 458 次,GitHub 329 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。

qcsd-ideation-swarm 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 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。

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
qcsd-ideation-swarm

qcsd 创意群 · 本页

1,458329操作浏览器未明确有提醒

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

QCSD Ideation Swarm v7.0

Shift-left quality engineering swarm for PI Planning and Sprint Planning.


Overview

The Ideation Swarm assesses stories and URLs before development begins, using HTSM v6.3 quality criteria, Risk Storming, and Testability analysis. It renders a GO / CONDITIONAL / NO-GO decision and is the first gate in the QCSD lifecycle.

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

  • URL: Website to analyze (required for URL mode)
  • OUTPUT_FOLDER: Where to save reports (default: ${PROJECT_ROOT}/Agentic QCSD/{domain}/)

Unique Features

  • URL Mode: Automated 5-tier browser cascade for live website analysis
  • HAS_VIDEO Flag: Detects video content and recommends /a11y-ally follow-up
  • HTML Output: Generates HTML reports when html_output: true
  • Browser Cascade: Vibium -> agent-browser -> Playwright+Stealth -> WebFetch -> WebSearch-fallback

ENFORCEMENT RULES - READ FIRST

RuleEnforcement
E1You MUST spawn ALL THREE core agents (qe-quality-criteria-recommender, qe-risk-assessor, qe-requirements-validator) in Step 2. No exceptions.
E2You MUST put all parallel Task calls in a SINGLE message.
E3You MUST STOP and WAIT after each batch. No proceeding early.
E4You MUST spawn conditional agents if flags are TRUE. No skipping.
E5You MUST apply GO/CONDITIONAL/NO-GO logic exactly as specified in Step 5.
E6You MUST generate the full report structure. No abbreviated versions.
E7Each agent MUST read its reference files before analysis.
E8You MUST execute Step 7 learning persistence. No skipping.

PROHIBITED BEHAVIORS:

  • Summarizing instead of spawning agents
  • Skipping agents "for brevity"
  • Proceeding before background tasks complete
  • Providing your own analysis instead of spawning specialists
  • Omitting report sections or using placeholder text

Step Execution Protocol

This skill uses a micro-file step architecture. Each step is a self-contained file loaded one at a time to avoid "lost in the middle" context degradation.

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

Steps

  1. Flag Detection -- steps/01-flag-detection.md -- Fetch URL content (browser cascade), detect all 7 flags (HAS_UI, HAS_SECURITY, HAS_UX, HAS_VIDEO, HAS_MIDDLEWARE, HAS_SAP_INTEGRATION, HAS_AUTHORIZATION)
  2. Core Agents -- steps/02-core-agents.md -- Spawn qe-quality-criteria-recommender, qe-risk-assessor, qe-requirements-validator in parallel
  3. Batch 1 Results -- steps/03-batch1-results.md -- Wait for core agents, extract all metrics
  4. Conditional Agents -- steps/04-conditional-agents.md -- Spawn flagged conditional agents in parallel
  5. Decision Synthesis -- steps/05-decision-synthesis.md -- Apply GO/CONDITIONAL/NO-GO logic
  6. Report Generation -- steps/06-report-generation.md -- Generate executive summary and full report
  7. Learning Persistence -- steps/07-learning-persistence.md -- Store findings to memory, save persistence record, include video follow-up recommendation
  8. Final Output -- steps/08-final-output.md -- Display completion summary with all scores and follow-up recommendations

Execution Instructions

  1. Use the Read tool to load the current step file (e.g., Read({file_path: ".claude/skills/qcsd-ideation-swarm/steps/01-flag-detection.md"}))
  2. Execute the step's instructions completely
  3. Verify all success criteria are met before proceeding
  4. Pass the step's output as context to the next step
  5. If a step fails, halt and report the failure point -- do not skip ahead

Resume Support

To resume from a specific step: specify --from-step N and the orchestrator will skip to step N. Ensure you have the required prerequisite data from prior steps.


Agent Inventory

AgentTypeDomainBatch
qe-quality-criteria-recommenderCore (always)requirements-validation1
qe-risk-assessorCore (always)coverage-analysis1
qe-requirements-validatorCore (always)requirements-validation1
qe-accessibility-auditorConditional (HAS_UI)visual-accessibility2
qe-security-auditorConditional (HAS_SECURITY)security-compliance2
qe-qx-partnerConditional (HAS_UX)cross-domain2
qe-middleware-validatorConditional (HAS_MIDDLEWARE)enterprise-integration2
qe-sap-rfc-testerConditional (HAS_SAP_INTEGRATION)enterprise-integration2
qe-sod-analyzerConditional (HAS_AUTHORIZATION)enterprise-integration2

Total: 9 agents (3 core + 6 conditional)

Note: The Ideation swarm has 8 steps (not 9) because it has no separate final analysis agent step. The HAS_VIDEO flag triggers a follow-up recommendation for /a11y-ally but does not spawn an additional agent.


Quality Gate Thresholds

MetricGOCONDITIONALNO-GO
Testability Score>= 70%40 - 69%< 40%
Risk ScoreLOW/MEDIUMHIGH (mitigatable)CRITICAL
Requirements Completeness>= 80%50 - 79%< 50%
Quality Criteria Coverage>= 7/10 categories4-6/10 categories< 4/10 categories

Report Filename Mapping

AgentReport FilenameStep
qe-quality-criteria-recommender02-quality-criteria.md2
qe-risk-assessor03-risk-assessment.md2
qe-requirements-validator04-requirements-validation.md2
qe-accessibility-auditor05-accessibility-audit.md4
qe-security-auditor06-security-audit.md4
qe-qx-partner07-ux-assessment.md4
qe-middleware-validator08-middleware-assessment.md4
qe-sap-rfc-tester09-sap-assessment.md4
qe-sod-analyzer10-sod-compliance.md4
Learning Persistence11-learning-persistence.json7
Synthesis01-executive-summary.md6

Execution Model Options

ModelWhen to UseAgent Spawn
Task Tool (PRIMARY)Claude Code sessionsTask({subagent_type, run_in_background: true})
MCP ToolsMCP server availablefleet_init({}) / task_submit({})
CLITerminal/scriptsswarm init / agent spawn

Key Principle

Quality is built in from the start, not tested in at the end. This swarm ensures stories are viable, testable, and risk-assessed before any code is written.

平台分布

Codex

38.05%
按下载量换算174

Claude

26.4%
按下载量换算121

Cursor

19.28%
按下载量换算88

Gemini CLI

9.07%
按下载量换算42

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills