ghidra
Skill2 starsChanged 8 months agoMITView on GitHub
Reverse engineer binaries using Ghidra's headless analyzer. Decompile executables, extract functions, strings, symbols, and analyze call graphs without GUI.
- Installs packages
3 other projects use a version of this.
Adopted by
Most recently taken up by
- Leostruka/devin-bundletheir own version, first seen Nov 1, 2026
- mitsuhiko/agent-commandsword for word, first seen Oct 8, 2026
- mitsuhiko/agent-stuffword for word, first seen Oct 8, 2026
Other versions3 projects use a version of this.
Word for word · 2
- mitsuhiko/agent-commands★ 3.2k100% same
- mitsuhiko/agent-stuff★ 3.2k100% same
Edited · 0
None found.
Wrote their own version · 1
- Leostruka/devin-bundle★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository239 other files it gives its agents.
- claude-code-docs/agents.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- claude-code-docs/llms.txtllms.txt
- agent-native-architectureSkill
- claude-apiSkill
- embedding-strategiesSkill
- fal-ai-mediaSkill
- gemini-imagegenSkill
- hybrid-search-implementationSkill
- langchain-architectureSkill
- llm-evaluationSkill
- ml-pipeline-workflowSkill
- prompt-engineering-patternsSkill
- rag-implementationSkill
- similarity-search-patternsSkill
- vector-index-tuningSkill
- api-design-principlesSkill
- api-designSkill
- architecture-patternsSkill
- cqrs-implementationSkill
- event-store-designSkill
- fastapi-templatesSkill
- microservices-patternsSkill
- openapi-spec-generationSkill
- projection-patternsSkill
- saga-orchestrationSkill
- api-conventionsSkill
- andrew-kane-gem-writerSkill
- angular-migrationSkill
- auth-implementation-patternsSkill
- backend-patternsSkill
- bazel-build-optimizationSkill
- coding-standardsSkill
- database-migrationSkill
- debugging-strategiesSkill
- dependency-upgradeSkill
- dhh-rails-styleSkill
- dotnet-backend-patternsSkill
- dspy-rubySkill
- error-handling-patternsSkill
- monorepo-managementSkill
- nodejs-backend-patternsSkill
- nx-workspace-patternsSkill
- react-modernizationSkill
- temporal-python-testingSkill
- turborepo-cachingSkill
- workflow-orchestration-patternsSkill
- defi-protocol-templatesSkill
- nft-standardsSkill
- solidity-securitySkill
- web3-testingSkill
- backtesting-frameworksSkill
- billing-automationSkill
- competitive-landscapeSkill
- data-storytellingSkill
- employment-contract-templatesSkill
- investor-materialsSkill
- investor-outreachSkill
- kpi-dashboard-designSkill
- market-sizing-analysisSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 24
Ghidra: must be installed. On macOS: brew install --cask ghidra
- Distinctive: line 253
Decompilation isn't perfect: - Use it as a guide, cross-reference with disassembly
- Very specific: line 254
Large binaries take time: - Use --timeout and consider --no-analysis for quick scans
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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.binExportDecompiled.java
Decompile all functions to C pseudocode.
Output: {name}_decompiled.c
./scripts/ghidra-analyze.sh -s ExportDecompiled.java -o ./output program.exeExportFunctions.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.exeExportCalls.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.cAnalyze Firmware
# Specify ARM architecture for firmware
./scripts/ghidra-analyze.sh \
-p "ARM:LE:32:v7" \
-s ExportAll.java \
-o ./firmware_analysis \
firmware.binQuick 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.cAnalyze Multiple Binaries
for bin in ./samples/*; do
name=$(basename "$bin")
./scripts/ghidra-analyze.sh -s ExportAll.java -o "./results/$name" "$bin"
doneArchitecture/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 binaryOut of Memory
Edit the analyzeHeadless script or set:
export MAXMEM=4GWrong Architecture Detected
Explicitly specify the processor:
./scripts/ghidra-analyze.sh -p "ARM:LE:32:v7" -s ExportAll.java firmware.binTips
- 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
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

