ghidra▌
mitsuhiko/agent-stuff · updated May 30, 2026
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Perform automated reverse engineering using Ghidra's analyzeHeadless tool. Import binaries, run analysis, decompile to C code, and extract useful information.
Ghidra Headless Analysis Skill
Perform automated reverse engineering using Ghidra's analyzeHeadless tool. Import binaries, run analysis, decompile to C code, and extract useful information.
Quick Reference
| Task | Command |
|---|---|
| Full analysis with all exports | ghidra-analyze.sh -s ExportAll.java -o ./output binary |
| Decompile to C code | ghidra-analyze.sh -s ExportDecompiled.java -o ./output binary |
| List functions | ghidra-analyze.sh -s ExportFunctions.java -o ./output binary |
| Extract strings | ghidra-analyze.sh -s ExportStrings.java -o ./output binary |
| Get call graph | ghidra-analyze.sh -s ExportCalls.java -o ./output binary |
| Export symbols | ghidra-analyze.sh -s ExportSymbols.java -o ./output binary |
| Find Ghidra path | find-ghidra.sh |
Prerequisites
- Ghidra must be installed. On macOS:
brew install --cask ghidra - Java (OpenJDK 17+) must be available
The skill automatically locates Ghidra in common installation paths. Set GHIDRA_HOME environment variable if Ghidra is installed in a non-standard location.
Main Wrapper Script
./scripts/ghidra-analyze.sh [options] <binary>
Wrapper that handles project creation/cleanup and provides a simpler interface to analyzeHeadless.
Options:
-o, --output <dir>- Output directory for results (default: current dir)-s, --script <name>- Post-analysis script to run (can be repeated)-a, --script-args <args>- Arguments for the last specified script--script-path <path>- Additional script search path-p, --processor <id>- Processor/architecture (e.g.,x86:LE:32:default)-c, --cspec <id>- Compiler spec (e.g.,gcc,windows)--no-analysis- Skip auto-analysis (faster, but less info)--timeout <seconds>- Analysis timeout per file--keep-project- Keep the Ghidra project after analysis--project-dir <dir>- Directory for Ghidra project (default: /tmp)--project-name <name>- Project name (default: auto-generated)-v, --verbose- Verbose output
Built-in Export Scripts
ExportAll.java
Comprehensive export - runs all other exports and creates a summary. Best for initial analysis.
Output files:
{name}_summary.txt- Overview: architecture, memory sections, function counts{name}_decompiled.c- All functions decompiled to C{name}_functions.json- Function list with signatures and calls{name}_strings.txt- All strings found{name}_interesting.txt- Functions matching security-relevant patterns
./scripts/ghidra-analyze.sh -s ExportAll.java -o ./analysis firmware.bin
ExportDecompiled.java
Decompile all functions to C pseudocode.
Output: {name}_decompiled.c
./scripts/ghidra-analyze.sh -s ExportDecompiled.java -o ./output program.exe
ExportFunctions.java
Export function list as JSON with addresses, signatures, parameters, and call relationships.
Output: {name}_functions.json
{
"program": "example.exe",
"architecture": "x86",
"functions": [
{
"name": "main",
"address": "0x00401000",
"size": 256,
"signature": "int main(int argc, char **argv)",
"returnType": "int",
"callingConvention": "cdecl",
"isExternal": false,
"parameters": [{"name": "argc", "type": "int"}, ...],
"calls": ["printf", "malloc", "process_data"],
"calledBy": ["_start"]
}
]
}
ExportStrings.java
Extract all strings (ASCII, Unicode) with addresses.
Output: {name}_strings.json
./scripts/ghidra-analyze.sh -s ExportStrings.java -o ./output malware.exe
ExportCalls.java
Export function call graph showing caller/callee relationships.
Output: {name}_calls.json
Includes:
- Full call graph
- Potential entry points (functions with no callers)
- Most frequently called functions
ExportSymbols.java
Export all symbols: imports, exports, and internal symbols.
Output: {name}_symbols.json
Common Workflows
Analyze an Unknown Binary
# Create output directory
mkdir -p ./analysis
# Run comprehensive analysis
./scripts/ghidra-analyze.sh -s ExportAll.java -o ./analysis unknown_binary
# Review the summary first
cat ./analysis/unknown_binary_summary.txt
# Look at interesting patterns (crypto, network, dangerous functions)
cat ./analysis/unknown_binary_interesting.txt
# Check specific decompiled functions
grep -A 50 "encrypt" ./analysis/unknown_binary_decompiled.c
Analyze Firmware
# Specify ARM architecture for firmware
./scripts/ghidra-analyze.sh \
-p "ARM:LE:32:v7" \
-s ExportAll.java \
-o ./firmware_analysis \
firmware.bin
Quick Function Listing
# Just get function names and addresses (faster)
./scripts/ghidra-analyze.sh --no-analysis -s ExportFunctions.java -o . program
# Parse with jq
cat program_functions.json | jq '.functions[] | "\(.address): \(.name)"'
Find Specific Patterns
# After running ExportDecompiled, search for patterns
grep -n "password\|secret\|key" output_decompiled.c
grep -n "strcpy\|sprintf\|gets" output_decompiled.c
Analyze Multiple Binaries
for bin in ./samples/*; do
name=$(basename "$bin")
./scripts/ghidra-analyze.sh -s ExportAll.java -o "./results/$name" "$bin"
done
Architecture/Processor IDs
Common processor IDs for the -p option:
| Architecture | Processor ID |
|---|---|
| x86 32-bit | x86:LE:32:default |
| x86 64-bit | x86:LE:64:default |
| ARM 32-bit | ARM:LE:32:v7 |
| ARM 64-bit | AARCH64:LE:64:v8A |
| MIPS 32-bit | MIPS:BE:32:default or MIPS:LE:32:default |
| PowerPC | PowerPC:BE:32:default |
Find all available processors:
ls "$(dirname $(./scripts/find-ghidra.sh))/../Ghidra/Processors/"
Troubleshooting
Ghidra Not Found
# Check if Ghidra is installed
./scripts/find-ghidra.sh
# Set GHIDRA_HOME if in non-standard location
export GHIDRA_HOME=/path/to/ghidra_11.x_PUBLIC
./scripts/ghidra-analyze.sh ...
Analysis Takes Too Long
# Set a timeout (seconds)
./scripts/ghidra-analyze.sh --timeout 300 -s ExportAll.java binary
# Skip analysis for quick export
./scripts/ghidra-analyze.sh --no-analysis -s ExportSymbols.java binary
Out of Memory
Edit the analyzeHeadless script or set:
export MAXMEM=4G
Wrong Architecture Detected
Explicitly specify the processor:
./scripts/ghidra-analyze.sh -p "ARM:LE:32:v7" -s ExportAll.java firmware.bin
Tips
- Start with ExportAll.java - It gives you everything and the summary helps orient you
- Check the interesting.txt file - It highlights security-relevant functions automatically
- Use jq for JSON parsing - The JSON exports are designed to be machine-readable
- Decompilation isn't perfect - Use it as a guide, cross-reference with disassembly
- Large binaries take time - Use
--timeoutand consider--no-analysisfor quick scans
How to use ghidra on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add ghidra
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches ghidra from GitHub repository mitsuhiko/agent-stuff and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate ghidra. Access the skill through slash commands (e.g., /ghidra) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★51 reviews- ★★★★★Pratham Ware· Dec 16, 2024
ghidra fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Arya Srinivasan· Dec 16, 2024
We added ghidra from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Layla Bansal· Dec 12, 2024
I recommend ghidra for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Chaitanya Patil· Dec 8, 2024
Keeps context tight: ghidra is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Evelyn Torres· Dec 8, 2024
Solid pick for teams standardizing on skills: ghidra is focused, and the summary matches what you get after install.
- ★★★★★Piyush G· Nov 27, 2024
ghidra has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Kofi Taylor· Nov 27, 2024
ghidra is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Yusuf Chawla· Nov 3, 2024
ghidra reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Layla Li· Oct 22, 2024
Registry listing for ghidra matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Shikha Mishra· Oct 18, 2024
Solid pick for teams standardizing on skills: ghidra is focused, and the summary matches what you get after install.
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