Dd Unblock PR
DataDog/pup
Load when investigating a failing PR CI pipeline or checking PR health.
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.
$ npx skills add proffesor-for-testing/agentic-qe --skill qcsd-cicd-swarm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qcsd-cicd-swarm --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "qcsd-cicd-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-cicd-swarm into .claude/skills/qcsd-cicd-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-cicd-swarm", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-cicd-swarmType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add proffesor-for-testing/agentic-qe --skill qcsd-cicd-swarm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qcsd-cicd-swarm --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .agents/skills && cp -r skills-src/assets/skills/qcsd-cicd-swarm .agents/skills/qcsd-cicd-swarm && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "qcsd-cicd-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-cicd-swarm into .agents/skills/qcsd-cicd-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-cicd-swarm", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add proffesor-for-testing/agentic-qe --skill qcsd-cicd-swarm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qcsd-cicd-swarm --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/assets/skills/qcsd-cicd-swarm .cursor/skills/qcsd-cicd-swarm && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "qcsd-cicd-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-cicd-swarm into .cursor/skills/qcsd-cicd-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-cicd-swarm", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/proffesor-for-testing/agentic-qe.git --path assets/skills/qcsd-cicd-swarm--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add proffesor-for-testing/agentic-qe --skill qcsd-cicd-swarm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qcsd-cicd-swarm --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/assets/skills/qcsd-cicd-swarm .gemini/skills/qcsd-cicd-swarm && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "qcsd-cicd-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-cicd-swarm into .gemini/skills/qcsd-cicd-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-cicd-swarm", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install proffesor-for-testing/agentic-qe qcsd-cicd-swarmInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add proffesor-for-testing/agentic-qe --skill qcsd-cicd-swarm -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .github/skills && cp -r skills-src/assets/skills/qcsd-cicd-swarm .github/skills/qcsd-cicd-swarm && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "qcsd-cicd-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-cicd-swarm into .github/skills/qcsd-cicd-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-cicd-swarm", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add proffesor-for-testing/agentic-qe --skill qcsd-cicd-swarm -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qcsd-cicd-swarm --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/proffesor-for-testing/agentic-qe.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/assets/skills/qcsd-cicd-swarm .opencode/skills/qcsd-cicd-swarm && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "qcsd-cicd-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-cicd-swarm into .opencode/skills/qcsd-cicd-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-cicd-swarm", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
qcsd-cicd-swarmA 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.
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.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 1363bc7. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/, which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.
.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.Shift-left quality engineering swarm for CI/CD pipeline verification and release readiness.
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.
| Phase | Swarm | Decision | When |
|---|---|---|---|
| Ideation | qcsd-ideation-swarm | GO / CONDITIONAL / NO-GO | PI/Sprint Planning |
| Refinement | qcsd-refinement-swarm | READY / CONDITIONAL / NOT-READY | Sprint Refinement |
| Development | qcsd-development-swarm | SHIP / CONDITIONAL / HOLD | During Sprint |
| Verification | qcsd-cicd-swarm | RELEASE / REMEDIATE / BLOCK | Pre-Release / CI-CD |
| Production | qcsd-production-swarm | HEALTHY / DEGRADED / CRITICAL | Post-Release |
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)| Rule | Enforcement |
|---|---|
| E1 | You MUST spawn ALL THREE core agents (qe-quality-gate, qe-regression-analyzer, qe-flaky-hunter) in Step 2. No exceptions. |
| E2 | You MUST put all parallel Task calls in a SINGLE message. |
| E3 | You MUST STOP and WAIT after each batch. No proceeding early. |
| E4 | You MUST spawn conditional agents if flags are TRUE. No skipping. |
| E5 | You MUST apply RELEASE/REMEDIATE/BLOCK logic exactly as specified in Step 5. |
| E6 | You MUST generate the full report structure. No abbreviated versions. |
| E7 | Each agent MUST read its reference files before analysis. |
| E8 | You MUST apply qe-deployment-advisor analysis on ALL pipeline data in Step 8. Always. |
| E9 | You MUST execute Step 7 learning persistence. No skipping. |
PROHIBITED BEHAVIORS:
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/01-flag-detection.md -- Scan pipeline artifacts, detect all 6 flagssteps/02-core-agents.md -- Spawn qe-quality-gate, qe-regression-analyzer, qe-flaky-hunter in parallelsteps/03-batch1-results.md -- Wait for core agents, extract all metricssteps/04-conditional-agents.md -- Spawn flagged conditional agents in parallelsteps/05-decision-synthesis.md -- Apply RELEASE/REMEDIATE/BLOCK logicsteps/06-report-generation.md -- Generate executive summary and full reportsteps/07-learning-persistence.md -- Store findings to memory, save persistence recordsteps/08-deployment-advisor.md -- Run qe-deployment-advisor analysis on all pipeline datasteps/09-final-output.md -- Display completion summary with all scoresRead({ file_path: ".claude/skills/qcsd-cicd-swarm/steps/01-flag-detection.md" }))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 | Type | Domain | Batch |
|---|---|---|---|
| qe-quality-gate | Core (always) | quality-assessment | 1 |
| qe-regression-analyzer | Core (always) | test-execution | 1 |
| qe-flaky-hunter | Core (always) | test-execution | 1 |
| qe-security-scanner | Conditional (HAS_SECURITY_PIPELINE) | security-compliance | 2 |
| qe-chaos-engineer | Conditional (HAS_INFRA_CHANGE) | chaos-resilience | 2 |
| qe-coverage-specialist | Conditional (HAS_PERFORMANCE_PIPELINE) | coverage-analysis | 2 |
| qe-middleware-validator | Conditional (HAS_MIDDLEWARE) | enterprise-integration | 2 |
| qe-soap-tester | Conditional (HAS_SAP_INTEGRATION) | enterprise-integration | 2 |
| qe-sod-analyzer | Conditional (HAS_AUTHORIZATION) | enterprise-integration | 2 |
| qe-deployment-advisor | Analysis (always) | quality-assessment | 3 |
Total: 10 agents (3 core + 6 conditional + 1 analysis)
| Metric | RELEASE | REMEDIATE | BLOCK |
|---|---|---|---|
| Test Pass Rate | >= 99% | 95 - 98.9% | < 95% |
| Regression Count | 0 | 1-3 (P2/P3) | Any P0/P1 |
| Flaky Test Rate | < 2% | 2 - 5% | > 5% |
| Quality Gate | ALL PASS | WARN gates only | ANY FAIL gate |
| Security Scan | No HIGH/CRITICAL | MEDIUM only | HIGH/CRITICAL found |
| Coverage Delta | >= 0% | -1% to -5% | < -5% |
| Agent | Report Filename | Step |
|---|---|---|
| qe-quality-gate | 02-quality-gates.md | 2 |
| qe-regression-analyzer | 03-regression-analysis.md | 2 |
| qe-flaky-hunter | 04-flaky-test-analysis.md | 2 |
| qe-security-scanner | 05-security-scan.md | 4 |
| qe-chaos-engineer | 06-chaos-resilience.md | 4 |
| qe-coverage-specialist | 07-coverage-analysis.md | 4 |
| qe-middleware-validator | 08-middleware-health.md | 4 |
| qe-soap-tester | 09-soap-contracts.md | 4 |
| qe-sod-analyzer | 10-sod-compliance.md | 4 |
| Learning Persistence | 11-learning-persistence.json | 7 |
| qe-deployment-advisor | 12-deployment-advisory.md | 8 |
| Synthesis | 01-executive-summary.md | 6 |
| Model | When to Use | Agent Spawn |
|---|---|---|
| Task Tool (PRIMARY) | Claude Code sessions | Task({ subagent_type, run_in_background: true }) |
| MCP Tools | MCP server available | fleet_init({}) / task_submit({}) |
| CLI | Terminal/scripts | swarm init / agent spawn |
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
SKILL.md and 12 other files (scripts) in assets/skills/qcsd-cicd-swarm of proffesor-for-testing/agentic-qe.
Open the folder on GitHubat commit 1363bc7
Qcsd Cicd Swarm next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Qcsd Cicd Swarm this skillproffesor-for-testing/agentic-qe | 495 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Dd Unblock PRDataDog/pup | 1k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| QA Metricspetrkindlmann/qa-skills | 170 | — | ~5.3k | Automated safety check: Pass | MIT | |
| Azure Pipelines Log Downloaderansible/ansible | 71k | — | ~825 | Automated safety check: Pass | GPL-3.0 | |
| Quality Scandiegosouzapw/OmniRoute | 75k | — | ~748 | Automated safety check: Pass | MIT | |
| CI Failure Triage and RepairChachamaru127/claude-code-harness | 3.2k | 1 repos | ~1.1k | Automated safety check: Notes | MIT |
DataDog/pup
Load when investigating a failing PR CI pipeline or checking PR health.
petrkindlmann/qa-skills
Define, track, and act on QA metrics: test coverage percentage, flakiness rate, defect escape rate, MTTR, test execution time trends, automation ROI, quality gates, and SLAs for test suites.
ansible/ansible
Downloads Azure Pipelines CI logs for an Ansible pull request or build so the agent can analyze test failures, after asking you first.
diegosouzapw/OmniRoute
Runs a scoped, read-only quality scan on a repository candidate and reports exact evidence, failures and frozen debt, without treating a static scan as release acceptance.
Chachamaru127/claude-code-harness
Diagnoses failing CI pipelines and tests, deciding first whether the test or the implementation is at fault, and hands hard cases to a dedicated fixer subagent.
GreptimeTeam/greptimedb
Diagnoses a failed GreptimeDB fuzz CI job by pulling its GitHub Actions logs and fuzz artifacts, then matching the evidence to the local source code.
proffesor-for-testing/agentic-qe
Consumer-driven contract testing for microservices using Pact, schema validation, API versioning, and backward compatibility testing.
proffesor-for-testing/agentic-qe
Test quality validation through mutation testing, assessing test suite effectiveness by introducing code mutations and measuring kill rate.
proffesor-for-testing/agentic-qe
Profiles application performance under load using k6, Artillery, or JMeter to measure latency, throughput, and error rates.
proffesor-for-testing/agentic-qe
Conduct context-driven code reviews focusing on quality, testability, and maintainability.
proffesor-for-testing/agentic-qe
Scans for security vulnerabilities including XSS, SQL injection, CSRF, and auth flaws using OWASP Top 10 methodology.
proffesor-for-testing/agentic-qe
Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance.
Categories
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.
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.
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.
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.
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.
SKILL.md names no scripts, command-line tools or credentials: Qcsd Cicd Swarm is instructions for the agent only.
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.
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.
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.
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.
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.
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.