Speedscale Launches proxymock OpenClaw Skill on ClawHub

We’re excited to announce that Speedscale’s proxymock is now available as an OpenClaw skill on ClawHub, bringing powerful API traffic replay capabilities directly into your Claude workflows.

What is the proxymock OpenClaw Skill?

The proxymock skill integrates our traffic replay tool with Claude, enabling developers to record, inspect, mock, replay, and generate API traffic without leaving their AI-assisted development environment. By observing production traffic in minute detail, proxymock adds critical context for AI agents to improve code reliability.

Built on OpenClaw, Anthropic’s framework for creating Claude skills, this integration allows Claude to execute proxymock commands directly. Instead of manually running CLI commands or switching between tools, developers can simply ask Claude to “replay the captured traffic” or “generate mocks for this API” and the skill handles the execution. This streamlines workflows and reduces context switching during development.

Key Capabilities

• Capture Multiple Protocols: Record HTTP, gRPC, and database traffic in real-time
• Create Mock Services: Generate mock APIs from captured traffic for testing and development
• Record & Replay: Capture production traffic patterns and replay them for testing
• Traffic Generation: Generate realistic API traffic based on recorded patterns
• AI Context Enhancement: Provide detailed production traffic insights to AI agents for better code understanding

Why This Matters

API testing and development traditionally relies on synthetic test data that doesn’t reflect real-world usage. This creates a gap between what developers test and what actually happens in production. With the proxymock OpenClaw skill, developers can now:

• Give Claude real production traffic context for more accurate assistance when generating code or debugging issues
• Test API integrations without leaving Claude by replaying captured traffic directly in your development environment
• Analyze actual network behavior during development to understand how your APIs behave under real-world conditions
• Generate mocks from real traffic patterns to create more realistic test scenarios
• Debug API issues with captured production traffic insights that reveal edge cases synthetic tests miss

This integration addresses the context gap in AI code generation by giving AI agents access to real production traffic patterns. When Claude understands how your APIs actually behave in production, it can provide more accurate suggestions and catch potential issues before they reach users.

How It Works

The proxymock OpenClaw skill connects directly to your local proxymock installation, enabling Claude to:

1. Inspect captured traffic - View detailed request/response data from your production or test environments
2. Generate test scenarios - Create realistic API tests based on actual traffic patterns
3. Mock dependencies - Stand up mock services that respond exactly like your production systems
4. Replay traffic - Execute captured requests against modified code to validate behavior
5. Analyze results - Compare responses to detect regressions or unexpected changes

This workflow integrates seamlessly with existing development practices while adding production context that synthetic tests can’t provide.

Common Use Cases

API Migration Validation

When migrating APIs to new frameworks or languages, capture traffic from your existing API and replay it against the new implementation. Claude can help analyze response differences and identify breaking changes before users encounter them.

Integration Testing

Testing integrations with third-party APIs can be expensive and slow. Record real API interactions once, then use proxymock mocks to test your code against realistic responses without hitting rate limits or incurring API costs.

Debugging Production Issues

When users report bugs that don’t reproduce in development, capture the failing traffic pattern from production (with appropriate PII redaction) and replay it locally. Claude can help analyze the traffic and suggest fixes based on the actual behavior.

Performance Testing

Generate load tests based on real traffic patterns rather than synthetic data. Replay captured traffic at scale to understand how your API performs under realistic load conditions.

Get Started

The proxymock skill is available now on ClawHub at clawhub.ai/mleray24/proxymock. To get started:

1. Install proxymock locally if you haven’t already (available via Homebrew or direct download)
2. Add the skill to your Claude environment from ClawHub
3. Capture some traffic by recording API calls from your application
4. Ask Claude to analyze, mock, or replay the captured traffic

The skill works with both local development environments and Kubernetes clusters, making it flexible enough to fit into any workflow. Whether you’re building a new API, migrating to a new framework, or debugging production issues, proxymock brings production context directly into your AI-assisted development process.

What’s Next

This integration represents our commitment to meeting developers where they are and making API testing more accessible and efficient through AI-enhanced workflows. By combining traffic replay with AI agents, we’re helping teams catch issues earlier, test more thoroughly, and ship more reliable code.

Want to see proxymock in action? Book a demo to learn how traffic replay can improve your testing workflow, or explore our full platform features for comprehensive API testing and validation capabilities.