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A skill your agent uses when monitoring in-sprint code quality with TDD adherence checks, complexity analysis, coverage gap detection, or defect prediction in the QCSD Development phase.
Install Qcsd Development Swarm
$ npx skills add proffesor-for-testing/agentic-qe --skill qcsd-development-swarm -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qcsd-development-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-development-swarm .claude/skills/qcsd-development-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-development-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-development-swarm into .claude/skills/qcsd-development-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-development-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-development-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-development-swarm -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qcsd-development-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-development-swarm .agents/skills/qcsd-development-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-development-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-development-swarm into .agents/skills/qcsd-development-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-development-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-development-swarm -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qcsd-development-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-development-swarm .cursor/skills/qcsd-development-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-development-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-development-swarm into .cursor/skills/qcsd-development-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-development-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-development-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-development-swarm -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install proffesor-for-testing/agentic-qe qcsd-development-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-development-swarm .gemini/skills/qcsd-development-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-development-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-development-swarm into .gemini/skills/qcsd-development-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-development-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-development-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-development-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-development-swarm .github/skills/qcsd-development-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-development-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-development-swarm into .github/skills/qcsd-development-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-development-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-development-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-development-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-development-swarm .opencode/skills/qcsd-development-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-development-swarm" agent skill from https://github.com/proffesor-for-testing/agentic-qe/tree/main/assets/skills/qcsd-development-swarm into .opencode/skills/qcsd-development-swarm/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "qcsd-development-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.
Facts
- Skill name
qcsd-development-swarm- GitHub stars
- 494
- Token cost
- ~2.5k tokens
- SKILL.md length
- 857 words
- Files
- 13 (incl. scripts)
- Skills in repo
- 95
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when monitoring in-sprint code quality with TDD adherence checks, complexity analysis, coverage gap detection, or defect prediction in the QCSD Development phase.
- Works in 9 steps: Flag Detection --… → Core Agents -- steps/02-core-agents.md… → Batch 1 Results --… → …
- Monitoring in-sprint code quality with TDD adherence checks
- SKILL.md covers Overview, ENFORCEMENT RULES - READ FIRST, Step Execution Protocol and Agent Inventory, plus 4 more sections
- Complexity analysis
What it does
Qcsd Development Swarm is an agent skill from proffesor-for-testing/agentic-qe. Use when monitoring in-sprint code quality with TDD adherence checks, complexity analysis, coverage gap detection, or defect prediction in the QCSD Development phase.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts (for example `evals/qcsd-development-swarm.yaml`, `schemas/output.json` and `scripts/validate-config.json`).
It sits in Testing & QA, covering Code quality, Test coverage and Test-driven development. 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
- Monitoring in-sprint code quality with TDD adherence checks
- Complexity analysis
- Coverage gap detection
- Defect prediction in the QCSD Development phase
Example prompts
- “/qcsd-development-swarm”
Workflow steps
9 steps, taken from the first numbered list in SKILL.md.
- Flag Detection -- steps/01-flag-detection.md -- Scan source code and tests, detect all 6 flags
- Core Agents -- steps/02-core-agents.md -- Spawn qe-tdd-specialist, qe-code-complexity, qe-coverage-specialist in parallel
- Batch 1 Results -- steps/03-batch1-results.md -- Wait for core agents, extract all metrics
- Conditional Agents -- steps/04-conditional-agents.md -- Spawn flagged conditional agents in parallel
- Decision Synthesis -- steps/05-decision-synthesis.md -- Apply SHIP/CONDITIONAL/HOLD logic
- Report Generation -- steps/06-report-generation.md -- Generate executive summary and full report
- Learning Persistence -- steps/07-learning-persistence.md -- Store findings to memory, save persistence record
- Defect Predictor -- steps/08-defect-predictor.md -- Run qe-defect-predictor analysis on all code changes
- 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 829d030. 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 Development Swarm loads about 2.5k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 857 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.
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 829d030, republished under its MIT licence (© proffesor-for-testing). 857 words, ~2,527 tokens.
Download SKILL.mdSave it as
.claude/skills/qcsd-development-swarm/SKILL.md (or your agent's skills folder). This skill also uses 12 other files; get the full folder from GitHub.- name
- qcsd-development-swarm
- description
- Use when monitoring in-sprint code quality with TDD adherence checks, complexity analysis, coverage gap detection, or defect prediction in the QCSD Development phase.
- category
- qcsd-phases
- priority
- critical
- version
- 1.1.0
- tokenEstimate
- 3400
- agents.core
- qe-tdd-specialist, qe-code-complexity, qe-coverage-specialist
- agents.conditional
- qe-security-scanner, qe-performance-tester, qe-mutation-tester, qe-message-broker-tester, qe-sap-idoc-tester, qe-sod-analyzer
- agents.analysis
- qe-defect-predictor
- agents.total
- 10
- agents.sub_agents
- 0
- skills
- tdd-london-chicago, mutation-testing, performance-testing, security-testing
QCSD Development Swarm v1.0
Shift-left quality engineering swarm for in-sprint code quality assurance.
Overview
The Development Swarm takes refined stories (that passed Refinement) and validates code quality during sprint execution. Where the Ideation Swarm asks "Should we build this?" and the Refinement Swarm asks "How should we test this?", the Development Swarm asks "Is the code quality sufficient to ship?"
QCSD Phase Positioning
| 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 |
Parameters
SOURCE_PATH: Source code directory to analyze (required, e.g.,src/auth/)TEST_PATH: Test directory for coverage analysis (optional, e.g.,tests/auth/)OUTPUT_FOLDER: Where to save reports (default:${PROJECT_ROOT}/Agentic QCSD/development/)
ENFORCEMENT RULES - READ FIRST
| Rule | Enforcement |
|---|---|
| E1 | You MUST spawn ALL THREE core agents (qe-tdd-specialist, qe-code-complexity, qe-coverage-specialist) 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 SHIP/CONDITIONAL/HOLD 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-defect-predictor analysis on ALL code changes in Step 8. Always. |
| E9 | You 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
- Flag Detection --
steps/01-flag-detection.md-- Scan source code and tests, detect all 6 flags - Core Agents --
steps/02-core-agents.md-- Spawn qe-tdd-specialist, qe-code-complexity, qe-coverage-specialist in parallel - Batch 1 Results --
steps/03-batch1-results.md-- Wait for core agents, extract all metrics - Conditional Agents --
steps/04-conditional-agents.md-- Spawn flagged conditional agents in parallel - Decision Synthesis --
steps/05-decision-synthesis.md-- Apply SHIP/CONDITIONAL/HOLD logic - Report Generation --
steps/06-report-generation.md-- Generate executive summary and full report - Learning Persistence --
steps/07-learning-persistence.md-- Store findings to memory, save persistence record - Defect Predictor --
steps/08-defect-predictor.md-- Run qe-defect-predictor analysis on all code changes - Final Output --
steps/09-final-output.md-- Display completion summary with all scores
Execution Instructions
- Use the Read tool to load the current step file (e.g.,
Read({ file_path: ".claude/skills/qcsd-development-swarm/steps/01-flag-detection.md" })) - Execute the step's instructions completely
- Verify all success criteria are met before proceeding
- Pass the step's output as context to the next step
- 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.
Show full SKILL.md (360 more words)Show less
Agent Inventory
| Agent | Type | Domain | Batch |
|---|---|---|---|
| qe-tdd-specialist | Core (always) | test-generation | 1 |
| qe-code-complexity | Core (always) | code-intelligence | 1 |
| qe-coverage-specialist | Core (always) | coverage-analysis | 1 |
| qe-security-scanner | Conditional (HAS_SECURITY_CODE) | security-compliance | 2 |
| qe-performance-tester | Conditional (HAS_PERFORMANCE_CODE) | chaos-resilience | 2 |
| qe-mutation-tester | Conditional (HAS_CRITICAL_CODE) | test-generation | 2 |
| qe-message-broker-tester | Conditional (HAS_MIDDLEWARE) | enterprise-integration | 2 |
| qe-sap-idoc-tester | Conditional (HAS_SAP_INTEGRATION) | enterprise-integration | 2 |
| qe-sod-analyzer | Conditional (HAS_AUTHORIZATION) | enterprise-integration | 2 |
| qe-defect-predictor | Analysis (always) | defect-intelligence | 3 |
Total: 10 agents (3 core + 6 conditional + 1 analysis)
Quality Gate Thresholds
| Metric | SHIP | CONDITIONAL | HOLD |
|---|---|---|---|
| TDD Adherence | >= 80% | 60 - 79% | < 60% |
| Code Complexity | Avg <= 10 | Avg 11-15 | Avg > 15 |
| Test Coverage | >= 80% | 60 - 79% | < 60% |
| Mutation Score | >= 70% | 50 - 69% | < 50% |
| Security Issues | No HIGH/CRITICAL | MEDIUM only | HIGH/CRITICAL found |
Report Filename Mapping
| Agent | Report Filename | Step |
|---|---|---|
| qe-tdd-specialist | 02-tdd-analysis.md | 2 |
| qe-code-complexity | 03-complexity-analysis.md | 2 |
| qe-coverage-specialist | 04-coverage-analysis.md | 2 |
| qe-security-scanner | 05-security-scan.md | 4 |
| qe-performance-tester | 06-performance-analysis.md | 4 |
| qe-mutation-tester | 07-mutation-testing.md | 4 |
| qe-message-broker-tester | 08-middleware-health.md | 4 |
| qe-sap-idoc-tester | 09-sap-integration.md | 4 |
| qe-sod-analyzer | 10-sod-compliance.md | 4 |
| Learning Persistence | 11-learning-persistence.json | 7 |
| qe-defect-predictor | 12-defect-prediction.md | 8 |
| Synthesis | 01-executive-summary.md | 6 |
Execution Model Options
| Model | When to Use | Agent Spawn |
|---|---|---|
| Workflow (PRIMARY, ADR-102) | Harness with the Workflow tool | Workflow({ name: "qcsd-development-review", args: { sourcePath, testPath } }) |
| Task Tool (fallback) | Claude Code sessions without Workflow support | Task({ subagent_type, run_in_background: true }) |
| MCP Tools | MCP server available | fleet_init({}) / task_submit({}) |
| CLI | Terminal/scripts | swarm init / agent spawn |
Workflow execution (ADR-102)
.claude/workflows/qcsd-development-review.js runs the review as a deterministic
pipeline: one finder per quality dimension (TDD adherence, complexity, coverage
gaps — args.dimensions selects a subset) → 3 blind adversarial refuters per
finding (Loki-mode, ADR-074: refuters see only the bare claim + evidence,
never the finder's confidence or each other; uncertainty defaults to refuted)
→ deterministic synthesis into finding-verdict@1 envelopes (ADR-103,
schemas/finding-verdict.schema.json). A finding survives only if fewer than
⌈N/2⌉ refuters kill it. The final report contains ONLY confirmed findings;
killed findings are retained under killed with their refutations for audit.
Args: sourcePath (required), testPath, dimensions (subset of
tdd-adherence|complexity|coverage-gaps), maxFindings per dimension (default 5).
When the Workflow tool is unavailable, fall back to the Task-tool protocol
below — the report format and gates are identical, minus the adversarial
verification stage (note this in the report header as verification: none).
Key Principle
Code quality is measured by evidence, not intentions. This swarm provides in-sprint quality assessment to ensure code meets engineering standards before entering the CI/CD pipeline.
© 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-development-swarm of proffesor-for-testing/agentic-qe.
- SKILL.md
- evals/qcsd-development-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-defect-predictor.md
- steps/09-final-output.md
Open the folder on GitHubat commit 829d030
Compare with similar skills
Qcsd Development 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 Development Swarm this skillproffesor-for-testing/agentic-qe | 494 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Test Guidelinesgetsentry/sentry-dart | 873 | — | ~3.1k | Automated safety check: Pass | MIT | |
| Supercovsupercorp-ai/supercov | 150 | 1 repos | ~415 | Automated safety check: Pass | MIT | |
| Improvementtddworks/ClaudeBar | 1.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Characterisation Testscitypaul/.dotfiles | 739 | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Dev ReviewFHIR/fhir-codegen | 154 | — | ~5k | Automated safety check: Pass | MIT |
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Questions about Qcsd Development Swarm
What does Qcsd Development Swarm do?
A skill your agent uses when monitoring in-sprint code quality with TDD adherence checks, complexity analysis, coverage gap detection, or defect prediction in the QCSD Development phase. Qcsd Development Swarm is an agent skill from proffesor-for-testing/agentic-qe. Use when monitoring in-sprint code quality with TDD adherence checks, complexity analysis, coverage gap detection, or defect prediction in the QCSD Development phase.
When should I use Qcsd Development Swarm?
Qcsd Development Swarm fits situations like: monitoring in-sprint code quality with TDD adherence checks; complexity analysis; coverage gap detection; defect prediction in the QCSD Development phase.
How do I install Qcsd Development Swarm in Claude Code?
Run `npx skills add proffesor-for-testing/agentic-qe --skill qcsd-development-swarm -a claude-code`. Or copy the skill folder (assets/skills/qcsd-development-swarm in proffesor-for-testing/agentic-qe) into .claude/skills/qcsd-development-swarm in your project. Claude Code loads it when a task matches its description.
How do I install Qcsd Development Swarm in Codex?
Run `npx skills add proffesor-for-testing/agentic-qe --skill qcsd-development-swarm -a codex`. Or copy the skill folder (assets/skills/qcsd-development-swarm in proffesor-for-testing/agentic-qe) into .agents/skills/qcsd-development-swarm in your project. Codex loads it when a task matches its description.
Can I use Qcsd Development 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-development-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-development-swarm, .gemini/skills/qcsd-development-swarm, .github/skills/qcsd-development-swarm and .opencode/skills/qcsd-development-swarm in your project.
What does Qcsd Development Swarm need to run?
SKILL.md names no scripts, command-line tools or credentials: Qcsd Development Swarm is instructions for the agent only.
Does Qcsd Development 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 Development 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 Development Swarm use?
Qcsd Development 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 Development Swarm use?
About 2.5k tokens (SKILL.md is roughly 10k 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 Development Swarm?
Skills that share tags, products or a category with Qcsd Development Swarm: Test Guidelines (getsentry/sentry-dart, 873 stars), Supercov (supercorp-ai/supercov, 150 stars), Improvement (tddworks/ClaudeBar, 1.5k stars) and Characterisation Tests (citypaul/.dotfiles, 739 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Qcsd Development Swarm?
proffesor-for-testing (a GitHub user) maintains it in proffesor-for-testing/agentic-qe, which has 494 GitHub stars. The repository holds 95 skills in this directory. The repository was last updated on October 4, 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.