A skill your agent uses when enforcing CI/CD quality gates before release, running regression analysis, detecting flaky tests, or assessing deployment readiness in the QCSD Verification phase.

MITAuto-check passedTesting & QA

Install Qcsd Cicd Swarm

skills CLI
$ npx skills add proffesor-for-testing/agentic-qe --skill qcsd-cicd-swarm -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install proffesor-for-testing/agentic-qe qcsd-cicd-swarm --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .claude/skills && cp -r skills-src/assets/skills/qcsd-cicd-swarm .claude/skills/qcsd-cicd-swarm && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
qcsd-cicd-swarm
GitHub stars
495
Token cost
~2.3k tokens
SKILL.md length
751 words
Files
13 (incl. scripts)
Skills in repo
93
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when enforcing CI/CD quality gates before release, running regression analysis, detecting flaky tests, or assessing deployment readiness in the QCSD Verification phase.

  • Works in 9 steps: Flag Detection --… → Core Agents -- steps/02-core-agents.md… → Batch 1 Results --… → …
  • Enforcing CI/CD quality gates before release
  • SKILL.md covers Overview, ENFORCEMENT RULES - READ FIRST, Step Execution Protocol and Agent Inventory, plus 4 more sections
  • Running regression analysis

What it does

Qcsd Cicd Swarm is an agent skill from proffesor-for-testing/agentic-qe. Use when enforcing CI/CD quality gates before release, running regression analysis, detecting flaky tests, or assessing deployment readiness in the QCSD Verification phase.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts (for example `evals/qcsd-cicd-swarm.yaml`, `schemas/output.json` and `scripts/validate-config.json`).

It sits in Testing & QA, covering CI/CD, Quality gates and Failing and flaky tests. The repository describes itself as: Agentic QE Fleet is an open-source AI-powered QA/QE platform designed for use with Coding Agents (works best with Claude Code) featuring specialized agents and skills to support… The licence is MIT.

When your agent uses it

  • Enforcing CI/CD quality gates before release
  • Running regression analysis
  • Detecting flaky tests
  • Assessing deployment readiness in the QCSD Verification phase

Example prompts

  • “/qcsd-cicd-swarm”

Workflow steps

9 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 1363bc7. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Qcsd Cicd Swarm loads about 2.3k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 751 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from proffesor-for-testing/agentic-qe at commit 1363bc7, republished under its MIT licence (© proffesor-for-testing). 751 words, ~2,256 tokens.

Download SKILL.mdSave it as .claude/skills/qcsd-cicd-swarm/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.
name
qcsd-cicd-swarm
description
Use when enforcing CI/CD quality gates before release, running regression analysis, detecting flaky tests, or assessing deployment readiness in the QCSD Verification phase.
category
qcsd-phases
priority
critical
version
1.0.0
tokenEstimate
3500
agents.core
qe-quality-gate, qe-regression-analyzer, qe-flaky-hunter
agents.conditional
qe-security-scanner, qe-chaos-engineer, qe-coverage-specialist, qe-middleware-validator, qe-soap-tester, qe-sod-analyzer
agents.analysis
qe-deployment-advisor
agents.total
10
agents.sub_agents
0
skills
shift-left-testing, shift-right-testing, regression-testing, security-testing

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
Show full SKILL.md (304 more words)Show less
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.

© proffesor-for-testing, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 12 other files (scripts) in assets/skills/qcsd-cicd-swarm of proffesor-for-testing/agentic-qe.

  • SKILL.md
  • evals/qcsd-cicd-swarm.yaml
  • schemas/output.json
  • scripts/validate-config.json
  • steps/01-flag-detection.md
  • steps/02-core-agents.md
  • steps/03-batch1-results.md
  • steps/04-conditional-agents.md
  • steps/05-decision-synthesis.md
  • steps/06-report-generation.md
  • steps/07-learning-persistence.md
  • steps/08-deployment-advisor.md
  • steps/09-final-output.md

Open the folder on GitHubat commit 1363bc7

Compare with similar skills

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Quality Scandiegosouzapw/OmniRoute75k—~748Automated safety check: PassMIT
CI Failure Triage and RepairChachamaru127/claude-code-harness3.2k1 repos~1.1kAutomated safety check: NotesMIT

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Questions about Qcsd Cicd Swarm

What does Qcsd Cicd Swarm do?

A skill your agent uses when enforcing CI/CD quality gates before release, running regression analysis, detecting flaky tests, or assessing deployment readiness in the QCSD Verification phase. Qcsd Cicd Swarm is an agent skill from proffesor-for-testing/agentic-qe. Use when enforcing CI/CD quality gates before release, running regression analysis, detecting flaky tests, or assessing deployment readiness in the QCSD Verification phase.

When should I use Qcsd Cicd Swarm?

Qcsd Cicd Swarm fits situations like: enforcing CI/CD quality gates before release; running regression analysis; detecting flaky tests; assessing deployment readiness in the QCSD Verification phase.

How do I install Qcsd Cicd Swarm in Claude Code?

Run `npx skills add proffesor-for-testing/agentic-qe --skill qcsd-cicd-swarm -a claude-code`. Or copy the skill folder (assets/skills/qcsd-cicd-swarm in proffesor-for-testing/agentic-qe) into .claude/skills/qcsd-cicd-swarm in your project. Claude Code loads it when a task matches its description.

How do I install Qcsd Cicd Swarm in Codex?

Run `npx skills add proffesor-for-testing/agentic-qe --skill qcsd-cicd-swarm -a codex`. Or copy the skill folder (assets/skills/qcsd-cicd-swarm in proffesor-for-testing/agentic-qe) into .agents/skills/qcsd-cicd-swarm in your project. Codex loads it when a task matches its description.

Can I use Qcsd Cicd Swarm in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add proffesor-for-testing/agentic-qe --skill qcsd-cicd-swarm -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qcsd-cicd-swarm, .gemini/skills/qcsd-cicd-swarm, .github/skills/qcsd-cicd-swarm and .opencode/skills/qcsd-cicd-swarm in your project.

What does Qcsd Cicd Swarm need to run?

SKILL.md names no scripts, command-line tools or credentials: Qcsd Cicd Swarm is instructions for the agent only.

Does Qcsd Cicd Swarm access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Qcsd Cicd Swarm safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Qcsd Cicd Swarm use?

Qcsd Cicd Swarm is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Qcsd Cicd Swarm use?

About 2.3k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Qcsd Cicd Swarm?

Skills that share tags, products or a category with Qcsd Cicd Swarm: Dd Unblock PR (DataDog/pup, 1k stars), QA Metrics (petrkindlmann/qa-skills, 170 stars), Azure Pipelines Log Downloader (ansible/ansible, 71k stars) and Quality Scan (diegosouzapw/OmniRoute, 75k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qcsd Cicd Swarm?

proffesor-for-testing (a GitHub user) maintains it in proffesor-for-testing/agentic-qe, which has 495 GitHub stars. The repository holds 93 skills in this directory. The repository was last updated on October 9, 2026.

Source: proffesor-for-testing/agentic-qe on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.