skills/proffesor-for-testing__agentic-qe
1
0
Fork 0
mirror of https://github.com/proffesor-for-testing/agentic-qe.git synced 2026-09-19 08:45:47 +08:00
Code Issues Packages Projects Releases Wiki Activity
Files
fix/memory-semantic-namespace-601
proffesor-for-testing__agen…/.claude-plugin
T
History

README.md

Agentic QE Marketplace

Claude Code plugins for AI-powered quality engineering — test generation, coverage analysis, chaos engineering, security scanning, and TDD with self-learning fleet coordination.

Install the marketplace

In any Claude Code session:

/plugin marketplace add proffesor-for-testing/agentic-qe

Then browse and install plugins:

/plugin install agentic-qe-fleet

Available plugins

agentic-qe-fleet

PACTS-based agentic quality engineering fleet — slim Claude Code bundle with 11 specialized QE agents, 9 trust-tier-2/3 skills, 9 /aqe-* slash commands, and an auto-registered MCP server.

Agents (model-routed by cognitive load):

  • Opus tier (heavy reasoning): qe-test-architect, qe-fleet-commander, qe-security-scanner, qe-chaos-engineer, qe-regression-analyzer, qe-requirements-validator
  • Sonnet tier (focused execution): qe-coverage-specialist, qe-flaky-hunter, qe-performance-tester, qe-quality-gate, qe-tdd-specialist

Skills (validated/verified — trust tier 2 or 3):

  • qe-test-generation, qe-coverage-analysis, qe-test-execution, qe-chaos-resilience, qe-quality-assessment
  • chaos-engineering-resilience, mutation-testing, risk-based-testing, tdd-london-chicago

Slash commands: /aqe-analyze, /aqe-execute, /aqe-generate, /aqe-optimize, /aqe-chaos, /aqe-fleet-status, /aqe-report, /aqe-benchmark, /aqe-costs

MCP server: auto-registers via npx -y agentic-qe@latest mcp — no separate setup.

Usage examples

After installing the plugin, agents and commands are available immediately:

/aqe-fleet-status                      # health and metrics
/aqe-generate src/services/Auth.ts     # generate tests
/aqe-analyze src/                      # coverage gap analysis

Or invoke an agent through the Task tool:

"Use qe-test-architect to generate tests for src/services/PaymentService.ts"
"Use qe-flaky-hunter to find and stabilize flaky tests in tests/integration/"
"Use qe-chaos-engineer to inject network partitions into the order workflow"

Plugin vs full aqe init — which to use?

Plugin aqe init
Setup One slash command Full project setup
Scope 11 agents, 9 skills 60 agents, 85 skills
Persistent learning DB No (uses MCP server's) Yes (.agentic-qe/memory.db)
Cross-platform support Claude Code only 11 platforms (Cursor, Copilot, Cline, Windsurf, Continue.dev, etc.)
Use when Quick start, single Claude Code project Production team setup, multi-platform, full fleet

You can run both — the plugin's MCP server uses the same agentic-qe package, so installing both gives you the full fleet via aqe init and slash-command shortcuts via the plugin.

Links

License

MIT — see LICENSE.

Reference in New Issue View Git Blame Copy Permalink