Token导航 LogoToken导航TokenDH.com
研究检索执行命令github未标认证来源可访问许可证需确认审计通过

qcsd-cicd-swarmqcsd CICD 群

Agent Skill

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。

总安装

1,384

周安装

56

GitHub Stars

329

下载量

435
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-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

简介

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。

SKILL.md

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.

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

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。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

继续浏览同类 Skills