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gdb-cli
GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation
28,273 stars
bysickn33
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/gdb-cli/SKILL.md --create-dirs "https://raw.githubusercontent.com/sickn33/antigravity-awesome-skills/main/plugins/antigravity-awesome-skills-claude/skills/gdb-cli/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/gdb-cli/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How gdb-cli Compares
| Feature / Agent | gdb-cli | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# GDB Debugging Assistant
## Overview
A GDB debugging skill designed for AI agents. Combines **source code analysis** with **runtime state inspection** using gdb-cli to provide intelligent debugging assistance for C/C++ programs.
## When to Use This Skill
- Analyze core dumps or crash dumps
- Debug running processes with GDB attach
- Investigate crashes, deadlocks, or memory issues
- Get intelligent debugging assistance with source code context
- Debug multi-threaded applications
## Do Not Use This Skill When
- The task is unrelated to C/C++ debugging
- The user needs general-purpose assistance without debugging
- No GDB is available (GDB 9.0+ with Python support required)
## Prerequisites
```bash
# Install gdb-cli
pip install gdb-cli
# Or from GitHub
pip install git+https://github.com/Cerdore/gdb-cli.git
# Verify GDB has Python support
gdb -nx -q -batch -ex "python print('OK')"
```
**Requirements:**
- Python 3.6.8+
- GDB 9.0+ with Python support enabled
- Linux OS
## How It Works
### Step 1: Initialize Debug Session
**For core dump analysis:**
```bash
gdb-cli load --binary <binary_path> --core <core_path> [--gdb-path <gdb_path>]
```
**For live process debugging:**
```bash
gdb-cli attach --pid <pid> [--binary <binary_path>]
```
**Output:** A session_id like `"session_id": "a1b2c3"`. Store this for subsequent commands.
### Step 2: Gather Initial Information
```bash
SESSION="<session_id>"
# List all threads
gdb-cli threads -s $SESSION
# Get backtrace (with local variables)
gdb-cli bt -s $SESSION --full
# Get registers
gdb-cli registers -s $SESSION
```
### Step 3: Correlate Source Code (CRITICAL)
For each frame in the backtrace:
1. **Extract frame info**: `{file}:{line} in {function}`
2. **Read source context**: Get ±20 lines around the crash point
3. **Get local variables**: `gdb-cli locals-cmd -s $SESSION --frame <N>`
4. **Analyze**: Correlate code logic with variable values
**Example correlation:**
```
Frame #0: process_data() at src/worker.c:87
Source code shows:
85: Node* node = get_node(id);
86: if (node == NULL) return;
87: node->data = value; <- Crash here
Variables show:
node = 0x0 (NULL)
Analysis: The NULL check on line 86 didn't catch the issue.
```
### Step 4: Deep Investigation
```bash
# Examine variables
gdb-cli eval-cmd -s $SESSION "variable_name"
gdb-cli eval-cmd -s $SESSION "ptr->field"
gdb-cli ptype -s $SESSION "struct_name"
# Memory inspection
gdb-cli memory -s $SESSION "0x7fffffffe000" --size 64
# Disassembly
gdb-cli disasm -s $SESSION --count 20
# Check all threads (for deadlock analysis)
gdb-cli thread-apply -s $SESSION bt --all
# View shared libraries
gdb-cli sharedlibs -s $SESSION
```
### Step 5: Session Management
```bash
# List active sessions
gdb-cli sessions
# Check session status
gdb-cli status -s $SESSION
# Stop session (cleanup)
gdb-cli stop -s $SESSION
```
## Common Debugging Patterns
### Pattern: Null Pointer Dereference
**Indicators:**
- Crash on memory access instruction
- Pointer variable is 0x0
**Investigation:**
```bash
gdb-cli registers -s $SESSION # Check RIP
gdb-cli eval-cmd -s $SESSION "ptr" # Check pointer value
```
### Pattern: Deadlock
**Indicators:**
- Multiple threads stuck in lock functions
- `pthread_mutex_lock` in backtrace
**Investigation:**
```bash
gdb-cli thread-apply -s $SESSION bt --all
# Look for circular wait patterns
```
### Pattern: Memory Corruption
**Indicators:**
- Crash in malloc/free
- Garbage values in variables
**Investigation:**
```bash
gdb-cli memory -s $SESSION "&variable" --size 128
gdb-cli registers -s $SESSION
```
## Examples
### Example 1: Core Dump Analysis
```bash
# Load core dump
gdb-cli load --binary ./myapp --core /tmp/core.1234
# Get crash location
gdb-cli bt -s a1b2c3 --full
# Examine crash frame
gdb-cli locals-cmd -s a1b2c3 --frame 0
```
### Example 2: Live Process Debugging
```bash
# Attach to stuck server
gdb-cli attach --pid 12345
# Check all threads
gdb-cli threads -s b2c3d4
# Get all backtraces
gdb-cli thread-apply -s b2c3d4 bt --all
```
## Best Practices
- Always read source code before drawing conclusions from variable values
- Use `--range` for pagination on large thread counts or deep backtraces
- Use `ptype` to understand complex data structures before examining values
- Check all threads for multi-threaded issues
- Cross-reference types with source code definitions
## Security & Safety Notes
- This skill requires GDB access to processes and core dumps
- Attaching to processes may require appropriate permissions (sudo, ptrace_scope)
- Core dumps may contain sensitive data - handle with care
- Only debug processes you have authorization to analyze
## Related Skills
- `@systematic-debugging` - General debugging methodology
- `@test-driven-development` - Write tests before implementation
## Links
- **Repository**: https://github.com/Cerdore/gdb-cli
- **PyPI**: https://pypi.org/project/gdb-cli/
- **Documentation**: https://github.com/Cerdore/gdb-cli#readme