Perform automated reverse engineering using Ghidra's analyzeHeadless tool. Import binaries, run analysis, decompile to C code, and extract useful information.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionghidraExecute the skills CLI command in your project's root directory to begin installation:
Fetches ghidra from mitsuhiko/agent-stuff and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate ghidra. Access via /ghidra in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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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.
| 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 |
brew install --cask ghidraThe skill automatically locates Ghidra in common installation paths. Set GHIDRA_HOME environment variable if Ghidra is installed in a non-standard location.
./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 outputComprehensive 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
Decompile all functions to C pseudocode.
Output: {name}_decompiled.c
./scripts/ghidra-analyze.sh -s ExportDecompiled.java -o ./output program.exe
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"]
}
]
}
Extract all strings (ASCII, Unicode) with addresses.
Output: {name}_strings.json
./scripts/ghidra-analyze.sh -s ExportStrings.java -o ./output malware.exe
Export function call graph showing caller/callee relationships.
Output: {name}_calls.json
Includes:
Export all symbols: imports, exports, and internal symbols.
Output: {name}_symbols.json
# 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
# Specify ARM architecture for firmware
./scripts/ghidra-analyze.sh \
-p "ARM:LE:32:v7" \
-s ExportAll.java \
-o ./firmware_analysis \
firmware.bin
# 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)"'
# After running ExportDecompiled, search for patterns
grep -n "password\|secret\|key" output_decompiled.c
grep -n "strcpy\|sprintf\|gets" output_decompiled.c
for bin in ./samples/*; do
name=$(basename "$bin")
./scripts/ghidra-analyze.sh -s ExportAll.java -o "./results/$name" "$bin"
done
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/"
# 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 ...
# 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
Edit the analyzeHeadless script or set:
export MAXMEM=4G
Explicitly specify the processor:
./scripts/ghidra-analyze.sh -p "ARM:LE:32:v7" -s ExportAll.java firmware.bin
--timeout and consider --no-analysis for quick scansMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
ghidra fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added ghidra from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
I recommend ghidra for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: ghidra is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: ghidra is focused, and the summary matches what you get after install.
ghidra has been reliable in day-to-day use. Documentation quality is above average for community skills.
ghidra is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
ghidra reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for ghidra matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: ghidra is focused, and the summary matches what you get after install.
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