Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.

MITAuto-check passedTesting & QA

Install Qe Test Execution

skills CLI
$ npx skills add proffesor-for-testing/agentic-qe --skill qe-test-execution -a claude-code

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

GitHub CLI
$ gh skill install proffesor-for-testing/agentic-qe qe-test-execution --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/.kiro/skills/qe-test-execution .claude/skills/qe-test-execution && 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
qe-test-execution
GitHub stars
494
Token cost
~959 tokens
SKILL.md length
87 words
Files
1
Skills in repo
111
Repo updated
First seen
Licence
MIT

At a glance

Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.

  • Works in 3 steps: Parallel Execution → Smart Test Selection → Flaky Test Handling
  • Tasks that involve Error handling
  • SKILL.md covers Purpose, Activation, Quick Start and Agent Workflow, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Qe Test Execution is an agent skill from proffesor-for-testing/agentic-qe. Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.

Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering Error handling. 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

  • Tasks that involve Error handling

Example prompts

  • “/qe-test-execution”

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Parallel Execution
  2. Smart Test Selection
  3. Flaky Test Handling

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

    No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript, yaml and bash).

    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

Qe Test Execution loads about 959 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 87 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~959

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); files beside SKILL.md 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). 87 words, ~959 tokens.

Download SKILL.mdSave it as .claude/skills/qe-test-execution/SKILL.md (or your agent's skills folder).
name
qe-test-execution
description
Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.
inclusion
auto

QE Test Execution

Purpose

Guide the use of v3's test execution capabilities including parallel orchestration, smart test selection, flaky test handling, and distributed execution across multiple environments.

Activation

  • When running test suites
  • When optimizing test execution time
  • When handling flaky tests
  • When setting up CI/CD test pipelines
  • When executing tests across environments

Quick Start

bash
# Run all tests with parallelization
aqe test run --parallel --workers 4

# Run affected tests only
aqe test run --affected --since HEAD~1

# Run with retry for flaky tests
aqe test run --retry 3 --retry-delay 1000

# Run specific test types
aqe test run --type unit,integration --exclude e2e

Agent Workflow

typescript
// Orchestrate test execution
Task("Execute test suite", `
  Run the full test suite with:
  - 4 parallel workers
  - Retry flaky tests up to 3 times
  - Generate JUnit report
  - Fail fast on critical tests
  Report results and any failures.
`, "qe-test-executor")

// Smart test selection
Task("Run affected tests", `
  Analyze changes in PR #123 and:
  - Identify affected test files
  - Run only relevant tests
  - Include integration tests for changed modules
  - Report coverage delta
`, "qe-test-selector")

Execution Strategies

1. Parallel Execution
typescript
await testExecutor.runParallel({
  suites: ['unit', 'integration'],
  workers: 4,
  distribution: 'by-file',  // or 'by-test', 'by-duration'
  isolation: 'process',
  sharding: {
    enabled: true,
    total: 4,
    index: process.env.SHARD_INDEX
  }
});
2. Smart Test Selection
typescript
await testExecutor.runAffected({
  changes: gitChanges,
  selection: {
    direct: true,      // Tests for changed files
    transitive: true,  // Tests for dependents
    integration: true  // Integration tests touching changed code
  },
  fallback: 'full-suite'  // If analysis fails
});
3. Flaky Test Handling
typescript
await testExecutor.handleFlaky({
  detection: {
    enabled: true,
    threshold: 0.1,  // 10% flake rate
    window: 100      // Last 100 runs
  },
  strategy: {
    retry: 3,
    quarantine: true,
    notify: ['#flaky-tests']
  }
});

Execution Configuration

yaml
execution:
  parallel:
    workers: auto  # CPU cores - 1
    timeout: 30000
    bail: false

  retry:
    count: 2
    delay: 1000
    only_failed: true

  reporting:
    formats: [junit, json, html]
    include_timing: true
    include_logs: true

  environments:
    - name: node-18
      image: node:18-alpine
    - name: node-20
      image: node:20-alpine

CI/CD Integration

yaml
# GitHub Actions example
test:
  runs-on: ubuntu-latest
  strategy:
    matrix:
      shard: [1, 2, 3, 4]
  steps:
    - uses: actions/checkout@v4
    - name: Run tests
      run: |
        aqe test run \
          --shard ${{ matrix.shard }}/4 \
          --parallel \
          --report junit
    - name: Upload results
      uses: actions/upload-artifact@v4
      with:
        name: test-results-${{ matrix.shard }}
        path: reports/

Result Aggregation

typescript
interface ExecutionResults {
  summary: {
    total: number;
    passed: number;
    failed: number;
    skipped: number;
    flaky: number;
    duration: number;
  };
  shards: ShardResult[];
  failures: TestFailure[];
  flakyTests: FlakyTest[];
  coverage: CoverageReport;
  timing: TimingAnalysis;
}

Coordination

Primary Agents: qe-test-executor, qe-test-selector, qe-flaky-detector Coordinator: qe-test-execution-coordinator Related Skills: qe-test-generation, qe-coverage-analysis

© 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

Just SKILL.md in .kiro/skills/qe-test-execution of proffesor-for-testing/agentic-qe.

Open the folder on GitHubat commit 829d030

Compare with similar skills

Qe Test Execution 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.

Qe Test Execution compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Qe Test Execution this skillproffesor-for-testing/agentic-qe494—~959Automated safety check: PassMIT
Reproduce Chat Statesdifferent-ai/openwork24k—~673Automated safety check: PassCustom licence
Fake Model Provider Faultsdifferent-ai/openwork24k—~642Automated safety check: PassCustom licence
LLM Providercaliber-ai-org/ai-setup1.3k—~2.7kAutomated safety check: PassMIT
Error Handling And E2Ehome-operations/kopiur113—~2.7kAutomated safety check: PassAGPL-3.0
NodeHsienW/chat-gun143—~1.6kAutomated safety check: PassCustom licence

Similar skills

  • Reproduce Chat States

    different-ai/openwork

    Fires known chat states in the running OpenWork desktop app, such as provider errors, retries and tool steps, so you can check how each renders.

    24k GitHub stars~673 tokensUpdated today
    Testing & QAAuto-check passed
  • Fake Model Provider Faults

    different-ai/openwork

    Makes the desktop app's model provider fail on demand, with refused connections, resets, stalls and HTTP 4xx and 5xx errors, so error and retry states can be reproduced.

    24k GitHub stars~642 tokensUpdated today
    Testing & QAAuto-check passed
  • LLM Provider

    caliber-ai-org/ai-setup

    Adds a new LLM provider implementing LLMProvider interface with call() and stream() methods.

    1.3k GitHub stars~2.7k tokensUpdated 13 days ago
    Testing & QAAuto-check passed
  • Error Handling And E2E

    home-operations/kopiur

    How Kopiur does strongly-typed, actionable error handling and end-to-end testing.

    113 GitHub stars~2.7k tokensUpdated yesterday
    Testing & QAAuto-check passed
  • Node

    HsienW/chat-gun

    Provides domain-specific best practices for Node.js development with TypeScript, covering type stripping, async patterns, error handling, streams, modules, testing, performance, caching, logging…

    143 GitHub stars~1.6k tokensUpdated 3 days ago
    Testing & QAAuto-check passed
  • E2E CLI Test

    heygen-com/heygen-cli

    End-to-end test of the heygen CLI against the live API. An agent skill from heygen-com/heygen-cli.

    145 GitHub stars~2.4k tokensUpdated today
    Testing & QAAuto-check passed

More from proffesor-for-testing/agentic-qe

All 111 skills in this repo
  • Contract Testing

    proffesor-for-testing/agentic-qe

    Consumer-driven contract testing for microservices using Pact, schema validation, API versioning, and backward compatibility testing.

    494 GitHub stars~1.8k tokensUpdated 3 days ago
    Auto-check passed
  • Mutation Testing

    proffesor-for-testing/agentic-qe

    Test quality validation through mutation testing, assessing test suite effectiveness by introducing code mutations and measuring kill rate.

    494 GitHub stars~1.7k tokensUpdated 3 days ago
    Auto-check passed
  • Performance Testing

    proffesor-for-testing/agentic-qe

    Profiles application performance under load using k6, Artillery, or JMeter to measure latency, throughput, and error rates.

    494 GitHub stars~2.4k tokensUpdated 3 days ago
    Auto-check passed
  • Code Review Quality

    proffesor-for-testing/agentic-qe

    Conduct context-driven code reviews focusing on quality, testability, and maintainability.

    494 GitHub starsUsed in 1 repo~1.9k tokens
    Auto-check passed
  • Security Testing

    proffesor-for-testing/agentic-qe

    Scans for security vulnerabilities including XSS, SQL injection, CSRF, and auth flaws using OWASP Top 10 methodology.

    494 GitHub stars~2.7k tokensUpdated 3 days ago
    Auto-check: notes
  • Database Testing

    proffesor-for-testing/agentic-qe

    Database schema validation, data integrity testing, migration testing, transaction isolation, and query performance.

    494 GitHub starsUsed in 1 repo~1.7k tokens
    Auto-check passed

Categories

Questions about Qe Test Execution

What does Qe Test Execution do?

Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation. Qe Test Execution is an agent skill from proffesor-for-testing/agentic-qe. Parallel test execution orchestration with intelligent scheduling, retry logic, and comprehensive result aggregation.

When should I use Qe Test Execution?

Qe Test Execution fits situations like: tasks that involve Error handling.

How do I install Qe Test Execution in Claude Code?

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

How do I install Qe Test Execution in Codex?

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

Can I use Qe Test Execution 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 qe-test-execution -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qe-test-execution, .gemini/skills/qe-test-execution, .github/skills/qe-test-execution and .opencode/skills/qe-test-execution in your project.

What does Qe Test Execution need to run?

SKILL.md names no scripts, command-line tools or credentials: Qe Test Execution is instructions for the agent only.

Does Qe Test Execution 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 Qe Test Execution 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. Review the folder before installing.

What licence does Qe Test Execution use?

Qe Test Execution 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 Qe Test Execution use?

About 959 tokens (SKILL.md is roughly 3.8k 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 Qe Test Execution?

Skills that share tags, products or a category with Qe Test Execution: Reproduce Chat States (different-ai/openwork, 24k stars), Fake Model Provider Faults (different-ai/openwork, 24k stars), LLM Provider (caliber-ai-org/ai-setup, 1.3k stars) and Error Handling And E2E (home-operations/kopiur, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qe Test Execution?

proffesor-for-testing (a GitHub user) maintains it in proffesor-for-testing/agentic-qe, which has 494 GitHub stars. The repository holds 111 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.