agentic-qe-fleet

Plugin agentic-qe-fleet from marketplace agentic-qe in proffesor-for-testing/agentic-qe. Commands read from the repo's manifest — today.

Skills (9)

• chaos-engineering-resilience

  Chaos engineering principles, controlled failure injection, resilience testing, and system recovery validation. Use when testing distributed systems, building confidence in fault tolerance, or validating disaster recovery.

• mutation-testing

  Test quality validation through mutation testing, assessing test suite effectiveness by introducing code mutations and measuring kill rate. Use when evaluating test quality, identifying weak tests, or proving tests actually catch bugs.

• qe-chaos-resilience

  Injects controlled faults (network partition, latency, process kill, disk pressure) into distributed systems and validates recovery behavior. Use when testing circuit breakers, failover paths, retry logic, or building confidence in system resilience through chaos engineering.

• qe-coverage-analysis

  Analyzes test coverage data (Istanbul, c8, lcov) to identify uncovered lines, branches, and functions with risk-weighted gap detection. Use when analyzing coverage reports, identifying coverage gaps, comparing coverage between branches, or prioritizing which untested code to cover first.

• qe-quality-assessment

  Evaluates code quality through complexity analysis, lint results, code smell detection, and test health metrics. Use when assessing deployment readiness, configuring quality gates, scoring a codebase for release, or generating quality reports with pass/fail verdicts.

• qe-test-execution

  Orchestrates test suite execution with parallel sharding, intelligent retry, and real-time reporting across Jest, Vitest, and Playwright. Use when running test suites, optimizing execution time, handling flaky tests, configuring CI test pipelines, or analyzing test run results.

• qe-test-generation

  Generates durable-first tests — invariants, contracts, and property-based tests at boundaries that survive a reimplementation — plus unit, integration, and e2e coverage. Use when creating tests for new or changed code, filling coverage gaps, or migrating test suites between Jest, Vitest, and Playwri

• risk-based-testing

  Focus testing effort on highest-risk areas using risk assessment and prioritization. Use when planning test strategy, allocating testing resources, or making coverage decisions.

• tdd-london-chicago

  Apply London (mock-based) and Chicago (state-based) TDD schools. Use when practicing test-driven development or choosing testing style for your context.

Slash commands (9)

• /agentic-qe-fleet:aqe-analyze

  Analyze test coverage, identify gaps, and optimize coverage strategy using sublinear algorithms

• /agentic-qe-fleet:aqe-benchmark

  Run performance benchmarks and compare against baselines

• /agentic-qe-fleet:aqe-chaos

  Run chaos testing scenarios to validate system resilience and fault tolerance

• /agentic-qe-fleet:aqe-costs

  Display inference cost analysis and savings from local vs cloud providers

• /agentic-qe-fleet:aqe-execute

  Execute test suites with parallel orchestration, retry logic, and real-time reporting

• /agentic-qe-fleet:aqe-fleet-status

  Display comprehensive fleet health, agent status, and coordination metrics

• /agentic-qe-fleet:aqe-generate

  Generate comprehensive test suites using AI-powered analysis and sublinear optimization

• /agentic-qe-fleet:aqe-optimize

  Optimize test suites using sublinear algorithms to maximize coverage while minimizing test count and execution time

• /agentic-qe-fleet:aqe-report

  Generate comprehensive quality engineering reports with metrics, trends, and actionable insights

Subagents (11)

• qe-chaos-engineer

  Chaos engineering specialist for controlled fault injection, resilience testing, and system weakness discovery

• qe-coverage-specialist

  O(log n) sublinear coverage analysis with risk-weighted gap detection and HNSW vector indexing

• qe-flaky-hunter

  Flaky test detection and remediation with pattern recognition and auto-stabilization

• qe-fleet-commander

  Fleet management with agent lifecycle, workload distribution, and cross-domain coordination at scale

• qe-performance-tester

  Performance testing with load, stress, endurance testing and regression detection

• qe-quality-gate

  Quality gate enforcement with configurable thresholds, policy validation, and AI-powered deployment decisions

• qe-regression-analyzer

  Regression risk analysis with intelligent test selection, historical analysis, and change impact scoring

• qe-requirements-validator

  Requirements validation with testability analysis, BDD scenario generation, and acceptance criteria validation

• qe-security-scanner

  Comprehensive security scanning with SAST, DAST, dependency scanning, and secrets detection

• qe-tdd-specialist

  TDD Red-Green-Refactor specialist for test-driven development with London and Chicago school support

• qe-test-architect

  AI-powered test generation with sublinear optimization, multi-framework support, and self-learning capabilities

MCP servers (1)

• agentic-qe

  runs: npx -y [email protected] mcp

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