debugger-integration-skill

Solid

Advanced debugging integration for vulnerability research

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Skill Content

# Debugger Integration Skill ## Overview This skill provides advanced debugging integration for vulnerability research and exploit development. ## Capabilities - Control GDB/LLDB sessions programmatically - Set conditional breakpoints - Trace function calls and returns - Monitor memory allocations - Analyze crash dumps - Support WinDbg for Windows - Enable rr for record/replay - Create debugging scripts ## Target Processes - dynamic-analysis-runtime-testing.js - exploit-development.js - binary-reverse-engineering.js - vulnerability-root-cause-analysis.js ## Dependencies - GDB with pwndbg or gef - LLDB - WinDbg (Windows) - rr (record/replay) - Python 3.x (GDB Python API) ## Usage Context This skill is essential for: - Dynamic vulnerability analysis - Exploit debugging - Root cause analysis - Memory corruption research - Runtime behavior analysis ## Integration Notes - Supports scripted debugging sessions - Can record and replay executions - Integrates with reverse engineering tools - Supports remote debugging - Can generate debugging reports

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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