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Agent Skill · 研究检索

qcsd-cicd-swarm(qcsd CICD 群)

qcsd-cicd-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-cicd-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,权限为执行命令;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 39,646。

总安装 1,384周安装 56GitHub Stars 329下载 435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-cicd-swarm(qcsd CICD 群)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/qcsd-cicd-swarm
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill qcsd-cicd-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-cicd-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。

qcsd-cicd-swarm 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/qcsd-cicd-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

    它需要执行命令,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-cicd-swarm 怎么安装?

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

qcsd-cicd-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-cicd-swarm 需要什么权限?

权限级别是执行命令。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-cicd-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。

qcsd-cicd-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-cicd-swarm 用的人多吗?

公开数据是累计安装 1,384 次,近一周安装 56 次,下载 435 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-cicd-swarm 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

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 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

  • 不能接受 Skill 在你机器上执行命令的人。
  • 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-cicd-swarm

qcsd CICD 群 · 本页

1,384329执行命令未明确通过

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

QCSD CI/CD Swarm v1.0

Shift-left quality engineering swarm for CI/CD pipeline verification and release readiness.


Overview

The CI/CD Swarm takes code that passed Development quality checks and validates it is safe to release through the CI/CD pipeline. Where the Development Swarm asks "Is the code quality sufficient to ship?", the CI/CD Swarm asks "Is this change safe to release?"

This swarm operates at the pipeline level, analyzing test results, regression risk, flaky test impact, security pipeline status, and infrastructure changes to render a RELEASE / REMEDIATE / BLOCK 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

  • PIPELINE_ARTIFACTS: Path to CI/CD artifacts, test results, and build output (required, e.g., ci/artifacts/)
  • BASELINE_REF: Git ref for baseline comparison (optional, default: main)
  • OUTPUT_FOLDER: Where to save reports (default: ${PROJECT_ROOT}/Agentic QCSD/cicd/)
  • DEPLOY_TARGET: Target deployment environment (optional, e.g., staging, production)

ENFORCEMENT RULES - READ FIRST

RuleEnforcement
E1You MUST spawn ALL THREE core agents (qe-quality-gate, qe-regression-analyzer, qe-flaky-hunter) 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 RELEASE/REMEDIATE/BLOCK 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 apply qe-deployment-advisor analysis on ALL pipeline data in Step 8. Always.
E9You 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 -- Scan pipeline artifacts, detect all 6 flags
  2. Core Agents -- steps/02-core-agents.md -- Spawn qe-quality-gate, qe-regression-analyzer, qe-flaky-hunter 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 RELEASE/REMEDIATE/BLOCK 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
  8. Deployment Advisor -- steps/08-deployment-advisor.md -- Run qe-deployment-advisor analysis on all pipeline data
  9. Final Output -- steps/09-final-output.md -- Display completion summary with all scores

Execution Instructions

  1. Use the Read tool to load the current step file (e.g., Read({file_path: ".claude/skills/qcsd-cicd-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-gateCore (always)quality-assessment1
qe-regression-analyzerCore (always)test-execution1
qe-flaky-hunterCore (always)test-execution1
qe-security-scannerConditional (HAS_SECURITY_PIPELINE)security-compliance2
qe-chaos-engineerConditional (HAS_INFRA_CHANGE)chaos-resilience2
qe-coverage-specialistConditional (HAS_PERFORMANCE_PIPELINE)coverage-analysis2
qe-middleware-validatorConditional (HAS_MIDDLEWARE)enterprise-integration2
qe-soap-testerConditional (HAS_SAP_INTEGRATION)enterprise-integration2
qe-sod-analyzerConditional (HAS_AUTHORIZATION)enterprise-integration2
qe-deployment-advisorAnalysis (always)quality-assessment3

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


Quality Gate Thresholds

MetricRELEASEREMEDIATEBLOCK
Test Pass Rate>= 99%95 - 98.9%< 95%
Regression Count01-3 (P2/P3)Any P0/P1
Flaky Test Rate< 2%2 - 5%> 5%
Quality GateALL PASSWARN gates onlyANY FAIL gate
Security ScanNo HIGH/CRITICALMEDIUM onlyHIGH/CRITICAL found
Coverage Delta>= 0%-1% to -5%< -5%

Report Filename Mapping

AgentReport FilenameStep
qe-quality-gate02-quality-gates.md2
qe-regression-analyzer03-regression-analysis.md2
qe-flaky-hunter04-flaky-test-analysis.md2
qe-security-scanner05-security-scan.md4
qe-chaos-engineer06-chaos-resilience.md4
qe-coverage-specialist07-coverage-analysis.md4
qe-middleware-validator08-middleware-health.md4
qe-soap-tester09-soap-contracts.md4
qe-sod-analyzer10-sod-compliance.md4
Learning Persistence11-learning-persistence.json7
qe-deployment-advisor12-deployment-advisory.md8
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

Release safety is verified by evidence, not assumptions. This swarm provides pipeline-level quality assessment to ensure every release meets quality gates.

平台分布

Codex

32.63%
按下载量换算142

Claude

30.22%
按下载量换算131

Cursor

19.76%
按下载量换算86

Gemini CLI

8.85%
按下载量换算38

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-cicd-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。目前只有一个公开来源,建议同时核对源仓库。

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