A sophisticated runtime debugging tool that enables AI agents to capture, analyze, and resolve software bugs through deep execution tracing and state inspection.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install runtime-debugging-skill
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 runtime-debugging-skill 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 Syncause Debugger?
Syncause Debugger is a specialized diagnostic utility for Openclaw Skills that provides real-time visibility into application execution. Unlike static analysis tools that only read code, this skill utilizes a dedicated SDK and MCP server to record live runtime data, including call stacks, variable values, and error states. It is specifically designed to handle complex debugging scenarios in Python, Node.js, and Java environments where the root cause is hidden behind dynamic state changes or asynchronous workflows.
By integrating this tool into your Openclaw Skills workflow, you empower your AI agent to go beyond guesswork. The debugger facilitates a rigorous four-phase process—Setup, Analyze, Summary, and Teardown—ensuring that every bug fix is backed by empirical evidence from the actual execution path. This visibility is crucial for resolving race conditions, performance bottlenecks, and elusive logic errors that traditional logging might miss.
Syncause Debugger Use Cases
- Automating the reproduction of complex crashes in Java, Node.js, or Python applications.
- Identifying the root cause of logic errors by inspecting local variable snapshots at the moment of failure.
- Comparing successful and failed execution traces to detect regressions or environmental discrepancies.
- Enhancing Openclaw Skills capabilities in resolving N+1 query problems and other performance-related bugs.
How Syncause Debugger Works
- Project Initialization: The skill identifies the project type and retrieves necessary credentials via the debug-mcp-server.
- SDK Integration: A language-specific SDK is temporarily injected into the codebase to instrument the application.
- Bug Reproduction: The agent creates a sidecar reproduction script to trigger the error and generate high-fidelity trace data.
- Trace Analysis: The skill searches for generated traces and retrieves a comprehensive call tree, highlighting error nodes and state snapshots.
- Fix Verification: After modifying the code, the agent re-runs the reproduction script to ensure the trace no longer contains errors.
- Clean Teardown: The SDK and all temporary configuration files are removed to restore the project's original state.
Syncause Debugger Setup
To use this with Openclaw Skills, ensure the debug-mcp-server is active. Begin by initializing your project path:
# Initialize the project to retrieve projectId and apiKey
setup_project(projectPath="./your-project-root")
Next, follow the language-specific installation steps for your environment:
- Java: Add the dependency to
pom.xmlorbuild.gradle. - Node.js: Install via
npmoryarnand updatepackage.json. - Python: Add the SDK to
requirements.txtorpyproject.toml.
Syncause Debugger Data Schema & Taxonomy
The Syncause Debugger organizes diagnostic data using the following structure:
| Component | Description |
|---|---|
| Project Metadata | Contains the projectId, apiKey, and appName for session management. |
| Trace Insight | A hierarchical call tree representing the execution flow of a specific request or script run. |
| Method Snapshot | Granular data for specific methods, including arguments, return values, and local variable states. |
| Error Nodes | Specialized metadata attached to trace nodes where exceptions or assertions failed. |
| Comparison Diff | A structural delta between two different trace IDs (e.g., Happy Path vs. Buggy Path). |
Syncause Debugger Advanced Features
- Sidecar Reproduction: Automated generation of isolated test scripts to verify bugs without polluting the main test suite.
- Comparative Analysis: The
diff_trace_executiontool allows for side-by-side comparison of runtime states between different executions. - Evidence-Based Reasoning: Provides specific runtime data attribution, allowing agents to justify code changes with live instrumentation data.
- Quality Gate Validation: A rigorous checklist system ensuring reproduction scripts are consistent and high-quality before analysis begins.
- Multi-Agent Protocol Support: Deep integration with MCP for seamless data exchange between the debugger and Openclaw Skills.
SKILL.md
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