A comprehensive developer toolkit for testing, validating, and deploying resilient multi-agent commerce systems.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install greenhelix-agent-testing-qa-toolkit
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install greenhelix-agent-testing-qa-toolkit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agent Testing & QA Toolkit?
The Agent Testing & QA Toolkit is an essential resource for developers building robust Openclaw Skills for autonomous commerce. It addresses the unique challenges of distributed agent systems, where traditional unit tests fail to catch 3 AM production failures like network partitions during escrow settlement or race conditions in marketplace bids. This toolkit moves beyond shallow mocks by offering a deep testing pyramid designed specifically for stateful agent interactions.
By providing a suite of specialized classes—including the AgentTestHarness for recording API interactions and the ChaosInjector for simulating infrastructure failures—this toolkit ensures that your multi-agent workflows are financially safe and operationally resilient. It bridges the gap between local development and production-grade agent deployments, making it a critical component for anyone looking to scale Openclaw Skills in a multi-agent environment.
Agent Testing & QA Toolkit Use Cases
- Validating escrow lifecycle transitions against real-world GreenHelix API state.
- Detecting schema drift between different agent versions before they hit production.
- Simulating network partitions and latency spikes to verify agent retry logic.
- Benchmarking multi-step commerce workflows to catch performance regressions.
- Implementing automated canary releases to mitigate the financial risk of new agent deployments.
How Agent Testing & QA Toolkit Works
- Integration tests use the AgentTestHarness to record real API responses into cassettes, enabling deterministic and fast replay in CI environments.
- Unit tests leverage the GreenHelixMock to simulate stateful operations like wallet balances and escrow states without network overhead.
- The ChaosInjector intercepts transport-level communication to inject failures like partial responses, connection resets, and duplicate webhooks.
- ContractValidator ensures that all participating agents adhere to a versioned API schema, preventing breaking changes in distributed pipelines.
- AgentBenchmark measures the end-to-end latency of complex multi-agent workflows, comparing them against established baselines.
- The CanaryController manages the progressive rollout of new agent versions, monitoring health metrics and triggering automatic rollbacks if error thresholds are exceeded.
Agent Testing & QA Toolkit Setup
To implement these testing strategies for your Openclaw Skills, start by configuring your development environment with the necessary dependencies. Ensure you have access to the GreenHelix sandbox and your API keys are stored securely.
# Install testing and linting dependencies
pip install requests pytest ruff mypy
# Initialize the test harness in your suite
export TEST_MODE=record
export GREENHELIX_API_KEY=your_sandbox_key
python -m pytest tests/integration/
Once cassettes are recorded, switch the mode to playback for fast, credit-efficient CI runs.
Agent Testing & QA Toolkit Data Schema & Taxonomy
The toolkit organizes testing data into two primary structures: Cassettes for interaction recording and Contracts for interface validation.
| Data Type | Format | Contents |
|---|---|---|
| Cassette | JSON | Ordered list of tool names, input parameters, response bodies, and latency metrics. |
| Contract | JSON | Consumer-defined schemas, required output fields, status code expectations, and custom constraints. |
| Benchmark | JSON | Latency percentiles (P95, P99), throughput (ops/sec), and peak memory usage. |
Agent Testing & QA Toolkit Advanced Features
- Multi-agent chaos scenarios including 'agent death' mid-escrow and 'webhook double-delivery'.
- Backward compatibility checking within the ContractValidator to prevent breaking consumer agents.
- Automated rollback triggers based on trust scores, error rates, and wallet balance monitoring.
- Graceful canary draining to ensure in-flight transactions are settled before a version is retired.
- Performance regression detection that fails CI builds if P99 latency exceeds baseline thresholds.
SKILL.md
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