binary-re
This skill should be used when analyzing binaries, executables, or bytecode to understand what they do or how they work. Triggers on "binary", "executable", "ELF", "what does this do", "reverse engineer", "disassemble", "decompile", "pyc file", "python bytecode", "analyze binary", "figure out", "marshal". Routes to sub-skills for triage, static analysis, dynamic analysis, synthesis, or tool setup.
Best use case
binary-re is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
This skill should be used when analyzing binaries, executables, or bytecode to understand what they do or how they work. Triggers on "binary", "executable", "ELF", "what does this do", "reverse engineer", "disassemble", "decompile", "pyc file", "python bytecode", "analyze binary", "figure out", "marshal". Routes to sub-skills for triage, static analysis, dynamic analysis, synthesis, or tool setup.
Teams using binary-re should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/binary-re/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How binary-re Compares
| Feature / Agent | binary-re | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
This skill should be used when analyzing binaries, executables, or bytecode to understand what they do or how they work. Triggers on "binary", "executable", "ELF", "what does this do", "reverse engineer", "disassemble", "decompile", "pyc file", "python bytecode", "analyze binary", "figure out", "marshal". Routes to sub-skills for triage, static analysis, dynamic analysis, synthesis, or tool setup.
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
# Binary Reverse Engineering
## Purpose
Comprehensive guide for binary reverse engineering. This skill provides the overall methodology, philosophy, and reference material. Related skills handle specific phases:
## Related Skills
| Skill | Purpose | Trigger Keywords |
|-------|---------|------------------|
| `binary-re:triage` | Fast fingerprinting | "what is this binary", "identify", "file type" |
| `binary-re:static-analysis` | r2 + Ghidra analysis | "disassemble", "decompile", "functions" |
| `binary-re:dynamic-analysis` | QEMU + GDB + Frida | "run", "execute", "debug", "trace" |
| `binary-re:synthesis` | Report generation | "summarize", "report", "document findings" |
| `binary-re:tool-setup` | Install tools | "install", "setup", "tool not found" |
**Note:** Each skill auto-detects based on keywords. You don't need to explicitly route - just ask what you need.
## Pre-Flight Verification
**Before beginning any analysis, verify tooling availability:**
### Core Tools (Required)
```bash
rabin2 -v # Should show version
r2 -v # Should show version
```
### Decompilation (Optional)
```bash
# Check r2ghidra availability
r2 -qc 'pdg?' - 2>/dev/null | grep -q Usage && echo "r2ghidra OK" || echo "r2ghidra missing - install with: r2pm -ci r2ghidra"
```
### Dynamic Analysis Platform Check
| Host Platform | Method | Setup Required |
|---------------|--------|----------------|
| Linux x86_64 | Native QEMU | `apt install qemu-user` |
| macOS (any) | Docker + binfmt | See `binary-re-tool-setup` skill |
| Windows | WSL2 | Use Linux method inside WSL |
**If dynamic tools unavailable:** Proceed with static-only analysis, note reduced confidence in synthesis phase.
### Fallback Tooling (No r2/Ghidra)
When radare2 or Ghidra aren't available, use standard binutils/LLVM tools:
```bash
# Metadata (replaces rabin2 -I)
readelf -h binary # ELF header
readelf -d binary # Dynamic section (dependencies)
file binary # Quick identification
# Imports/Exports (replaces rabin2 -i/-E)
readelf -Ws binary | grep -E "FUNC|OBJECT" | awk '{print $8}'
nm -D binary 2>/dev/null # Dynamic symbols
# Strings (replaces rabin2 -zz)
strings -a -n 8 binary | grep -Ei 'http|ftp|/etc|/var|error|pass|key|token|api'
# Disassembly (replaces r2 pdf)
objdump -d -M intel binary | head -500
# Or LLVM (better cross-arch support):
llvm-objdump -d --no-show-raw-insn binary | head -500
# Dependencies (replaces rabin2 -l)
ldd binary 2>/dev/null || readelf -d binary | grep NEEDED
```
**Limitations of fallback approach:**
- No cross-references (axt/axf) - must trace manually
- No decompilation - assembly only
- No function boundary detection - raw disassembly
- Reduced accuracy for stripped binaries
---
## Philosophy
**The LLM drives analysis; the human provides context.**
Human provides:
- Platform info (device type, OS, hardware)
- Suspected purpose (what the binary might do)
- Constraints (no network, isolated env, etc.)
LLM executes:
- Tool selection and invocation
- Hypothesis formation from evidence
- Experiment design
- Knowledge synthesis
## The Agentic Loop
```
┌─────────────────────────────────────────────────┐
│ HYPOTHESIS-DRIVEN ANALYSIS │
├─────────────────────────────────────────────────┤
│ │
│ 0. I/O SANITY → Compare known inputs/outputs │
│ 1. OBSERVE → Gather facts via tools │
│ 2. HYPOTHESIZE → Form theories from facts │
│ 3. PLAN → Design experiments to test theories │
│ 4. EXECUTE → Run tools (gate risky ops) │
│ 5. RECORD → Capture observations │
│ 6. UPDATE → Confirm/refute hypotheses │
│ 7. LOOP → Until understanding sufficient │
│ │
└─────────────────────────────────────────────────┘
```
### Step 0: Compare Known I/O First (CRITICAL)
**Before diving into code analysis, always check if known inputs/outputs exist.**
This step prevents hours of wasted analysis by establishing ground truth first.
⚠️ **REQUIRES HUMAN APPROVAL** - Even for I/O comparison, get explicit approval before execution.
```bash
# SAFE: Use emulation for cross-arch binaries (after human approval)
# ARM32 example:
qemu-arm -L /usr/arm-linux-gnueabihf -- ./binary input.txt > actual_output.txt
# x86-64 native (still requires approval):
./binary input.txt > actual_output.txt
# Docker-based (macOS - safest option):
docker run --rm --platform linux/arm/v7 -v ~/samples:/work:ro \
arm32v7/debian:bullseye-slim /work/binary /work/input.txt > actual_output.txt
# Compare outputs:
diff expected_output.txt actual_output.txt
cmp -l expected_output.txt actual_output.txt | head -20 # Byte-level
# Document the delta:
# - Where does output first diverge?
# - What pattern appears in the corruption?
# - Does file size match (logic bug) or differ (truncation)?
```
**Record as FACT:**
```
FACT: Output differs at byte {N}, expected "{X}" got "{Y}" (source: diff/cmp)
FACT: File sizes match/differ by {N} bytes (source: ls -l)
```
This single step often reveals the bug category before any disassembly.
## Knowledge Model
Throughout analysis, maintain structured knowledge via **episodic memory**:
```
FACTS: Verified observations with tool attribution
HYPOTHESES: Theories with confidence and evidence
QUESTIONS: Open unknowns blocking progress
EXPERIMENTS: Planned tool invocations
OBSERVATIONS: Results from experiments
DECISIONS: Human-approved choices with rationale
```
### Episodic Memory Integration
Knowledge persists across sessions via episodic memory. Use consistent tagging:
```
[BINARY-RE:{phase}] {artifact_name} (sha256: {hash})
FACT: {observation} (source: {tool})
HYPOTHESIS: {theory} (confidence: {0.0-1.0})
QUESTION: {unknown}
DECISION: {choice} (rationale: {why})
```
**Starting analysis:** Search episodic memory for artifact hash first
**After each phase:** Findings are automatically captured in conversation
**Resuming:** Search `[BINARY-RE] {artifact_name}` to restore context
## Human-in-the-Loop Triggers
**ALWAYS ask human before:**
1. **Executing the binary** - Even under QEMU, confirm sandbox
2. **Network operations** - Prevent unintended phone-home
3. **Conflicting evidence** - Resolve contradictory findings
4. **Privileged operations** - Device access, root actions
5. **Major direction changes** - Significant analysis pivots
## Session Management
### Starting New Analysis
```
1. Compute artifact hash: sha256sum binary
2. Search episodic memory: "[BINARY-RE] sha256:{hash}"
3. If previous analysis found:
→ "Found previous analysis from {date}. Resume or start fresh?"
4. If resuming: Load facts/hypotheses, continue from last phase
5. If fresh: Begin with triage phase
```
### Resuming Interrupted Analysis
```
User: "Continue analyzing that thermostat binary"
Claude:
1. Invoke episodic-memory:search-conversations
Query: "[BINARY-RE] thermostat"
2. Retrieve previous session findings
3. Summarize: "Last session identified ARM32/musl, found network
functions. We were about to run dynamic analysis."
4. Continue from that phase
```
### Searching Past Analyses
```
User: "Have we analyzed any ARM binaries with hardcoded passwords?"
Claude:
1. Search: "[BINARY-RE] FACT: hardcoded" or "[BINARY-RE] ARM"
2. Return matching artifacts and findings
```
## Standard Analysis Flow
For typical unknown binary analysis:
```
1. Triage (binary-re-triage)
└─ Architecture, ABI, dependencies, capabilities
2. Static Analysis (binary-re-static-analysis)
└─ Functions, strings, xrefs, decompilation
3. Dynamic Analysis (binary-re-dynamic-analysis) - if safe
└─ Syscalls, network, file access
4. Synthesis (binary-re-synthesis)
└─ Structured report with evidence
```
## Quick Reference
### Essential Commands
```bash
# Fast triage
rabin2 -I binary # Metadata
rabin2 -l binary # Dependencies
rabin2 -zz binary # Strings
# Static analysis
r2 -q -c 'aa; aflj' binary # Functions
r2 -q -c 'izj' binary # Strings
# Dynamic (ARM example)
qemu-arm -L /usr/arm-linux-gnueabihf -strace ./binary
```
### Architecture Detection
| Indicator | Architecture | QEMU Binary | Ghidra Processor |
|-----------|--------------|-------------|------------------|
| `e_machine=EM_386 (3)` | x86 32-bit | `qemu-i386` or Docker `--platform linux/i386` | `x86:LE:32:default` |
| `e_machine=EM_ARM (40)` | ARM 32-bit | `qemu-arm` or Docker `--platform linux/arm/v7` | `ARM:LE:32:v7` |
| `e_machine=EM_AARCH64 (183)` | ARM 64-bit | `qemu-aarch64` or Docker `--platform linux/arm64` | `AARCH64:LE:64:v8A` |
| `e_machine=EM_X86_64 (62)` | x86-64 | Native or Docker `--platform linux/amd64` | `x86:LE:64:default` |
| `e_machine=EM_MIPS (8)` | MIPS 32 LE | `qemu-mipsel` | `MIPS:LE:32:default` |
| `e_machine=EM_MIPS (8)` BE | MIPS 32 BE | `qemu-mips` | `MIPS:BE:32:default` |
| `e_machine=EM_RISCV (243)` | RISC-V 64 | `qemu-riscv64` | `RISCV:LE:64:RV64I` |
| `e_machine=EM_RISCV (243)` 32 | RISC-V 32 | `qemu-riscv32` | `RISCV:LE:32:RV32I` |
### Libc Detection
| Interpreter | Libc |
|-------------|------|
| `ld-linux-armhf.so.3` | glibc (ARM hard-float) |
| `ld-musl-arm.so.1` | musl |
| `ld-uClibc.so.0` | uClibc |
## Error Recovery
| Situation | Action |
|-----------|--------|
| Tool not found | Use `binary-re-tool-setup` skill |
| Wrong architecture | Re-run triage, verify file output |
| QEMU fails | Try Qiling, Unicorn, or on-device |
| Analysis timeout | Reduce scope, use `aa` not `aaa` |
| Conflicting evidence | Ask human, document both interpretations |
## Documentation
See companion docs:
- `docs/r2-commands.md` - Complete r2 reference for LLMs
- `docs/ghidra-headless.md` - Ghidra scripting guide
- `docs/arch-adapters.md` - Per-architecture quirks
- `docs/python-bytecode-re.md` - Python .pyc/marshal obfuscation patterns
## Integration
Works with other plugins:
- **remote-system-maintenance**: Extract binaries from devices via SSH
- **fresh-eyes-review**: Validate conclusions before documenting
- **scenario-testing**: Create reproducible analysis environmentsRelated Skills
binary-analysis-patterns
Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.
binary-analysis
Analyze binary files (exe, dll, sys, bin, ocx, scr, cpl, drv) to assess if they are malicious, perform decompilation, extract strings/imports/exports, detect malware, and provide threat assessment. Use this skill when user asks to analyze, examine, check, or assess any binary file, asks if a file is malicious/suspicious/safe, or provides a file path to a binary. Trigger for phrases like "Is [file] malicious?", "Analyze [file]", "What does [binary] do?", or any request involving binary file analysis.
binary-re-triage
Use when first encountering an unknown binary, ELF file, executable, or firmware blob. Fast fingerprinting via rabin2 - architecture detection (ARM, x86, MIPS), ABI identification, dependency mapping, string extraction. Keywords - "what is this binary", "identify architecture", "check file type", "rabin2", "file analysis", "quick scan"
binary-re-tool-setup
Use when reverse engineering tools are missing, not working, or need configuration. Installation guides for radare2 (r2), Ghidra, GDB, QEMU, Frida, binutils, and cross-compilation toolchains. Keywords - "install radare2", "setup ghidra", "r2 not found", "qemu missing", "tool not installed", "configure gdb", "cross-compiler"
binary-re-synthesis
Use when ready to document findings, generate a report, or summarize binary analysis results. Compiles analysis findings into structured reports - correlates facts from triage/static/dynamic phases, validates hypotheses, generates documentation with evidence chains. Keywords - "summarize findings", "generate report", "document analysis", "what did we find", "write up results", "export findings"
binary-re-static-analysis
Use when analyzing binary structure, disassembling code, or decompiling functions. Deep static analysis via radare2 (r2) and Ghidra headless - function enumeration, cross-references (xrefs), decompilation, control flow graphs. Keywords - "disassemble", "decompile", "what does this function do", "find functions", "analyze code", "r2", "ghidra", "pdg", "afl"
binary-re-dynamic-analysis
Use when you need to run a binary, trace execution, or observe runtime behavior. Runtime analysis via QEMU emulation, GDB debugging, and Frida hooking - syscall tracing (strace), breakpoints, memory inspection, function interception. Keywords - "run binary", "execute", "debug", "trace syscalls", "set breakpoint", "qemu", "gdb", "frida", "strace", "watch memory"
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