A comprehensive diagnostic toolkit for AI agents to analyze stack traces, suggest strategic breakpoints, and visualize execution call graphs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install oc-debugging
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 oc-debugging 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 Debugging Assistant?
The Debugging Assistant is a specialized utility within the Openclaw Skills ecosystem designed to accelerate the troubleshooting lifecycle. It provides developers and AI agents with the ability to parse complex error logs, identify root causes, and understand the execution flow of applications written in Python and C/C++. By automating the tedious parts of diagnostic work, this skill enables more efficient code correction and system stabilization.
This skill goes beyond simple log reading by offering prioritized suggestions for where to place breakpoints and generating detailed call graphs. Whether you are dealing with database connection issues or complex logic errors, the Debugging Assistant provides a structured path to resolution through its integrated analysis scripts.
Debugging Assistant Use Cases
- Rapidly diagnosing application crashes by analyzing Python tracebacks or uploaded log files.
- Identifying the source of database connection failures and timeout errors in backend services.
- Mapping out complex function call chains to find unhandled exceptions or performance bottlenecks.
- Setting up strategic debugging sessions with prioritized breakpoint suggestions for critical code paths.
How Debugging Assistant Works
- The user inputs a raw error message, a log file, or a source code file into the skill entry point.
- The error analyzer identifies the specific error type, severity level, and potential root causes based on predefined patterns.
- For code-level analysis, the skill scans the file to suggest breakpoint locations, prioritizing entry points and external API calls.
- If execution tracing is requested, the tracer module generates a visual call graph showing function dependencies.
- A comprehensive diagnostic report is produced, including suggested fixes and watch variables for the debugging session.
Debugging Assistant Setup
To start using this diagnostic tool within Openclaw Skills, navigate to the skill directory and use the Python-based CLI:
# Analyze a specific error log file
python3 scripts/main.py analyze-error --file error.log
# Get breakpoint suggestions for a source file
python3 scripts/main.py suggest-breakpoints --file src/main.py
# Trace function execution to build a call graph
python3 scripts/main.py trace --file src/app.py --function handle_request
Debugging Assistant Data Schema & Taxonomy
The skill utilizes a structured configuration and script layout to manage debugging tasks:
| Component | Description |
|---|---|
scripts/main.py |
The central CLI entry point for all debugging commands. |
scripts/error_analyzer.py |
Handles the parsing and categorization of error patterns and tracebacks. |
scripts/tracer.py |
Responsible for generating call graphs and execution flows. |
.debugging.json |
Local configuration file for ignoring specific warnings or highlighting critical errors. |
Debugging Assistant Advanced Features
- Intelligent identification of high-severity patterns like SecurityError or DataLossError.
- Customizable breakpoint logic that flags code blocks before external API calls or within conditional logic.
- Call graph visualization to pinpoint exactly where error handling is missing in the execution stack.
- Support for C/C++ analysis alongside primary Python debugging capabilities.
SKILL.md
Loading
Related Openclaw Skills
Context Product Manager
An AI product management skill that converts messy intent into structured plans, context blueprints, and precise coding agent handoffs.
C Support Library
A specialized infrastructure library providing C language intelligence, AST parsing, and security auditing to empower advanced Openclaw Skills.
TDD Assistant
An AI-enhanced development assistant that automates the red-green-refactor cycle, test generation, and code coverage tracking across multiple languages.
Spontaneous Trip Planner
An intelligent travel agent that generates three-scenario itineraries by balancing budget, time, and seasonal quality using real-time data.
Security Analysis & Vulnerability Detection
A robust security auditing toolkit for Openclaw Skills designed to detect vulnerabilities, leaked secrets, and risky dependencies.
Get To It
Get To It is an AI-powered personal secretary that leverages a warm but firm persona to help users focus on three daily priorities and maintain long-term goal momentum.
Featured*
