Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/masriyan/claude-code-cybersecurity-skill/04-reverse-engineeringnpx skills add Masriyan/Claude-Code-CyberSecurity-Skill --skill 04-reverse-engineeringgit clone --depth 1 https://github.com/Masriyan/Claude-Code-CyberSecurity-SkillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/masriyan/claude-code-cybersecurity-skill/04-reverse-engineering)<a href="https://agentmods.dev/skills/masriyan/claude-code-cybersecurity-skill/04-reverse-engineering"><img src="https://agentmods.dev/badge/skills/masriyan/claude-code-cybersecurity-skill/04-reverse-engineering.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00026 | $0.03385 |
| Opus 5 | $0.00013 | $0.01692 |
| Sonnet 5 | $0.00005 | $0.00677 |
| Haiku 4.5 | $0.00003 | $0.00338 |
Grade A, and why
Reverse Engineering & Binary Analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 363 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reverse Engineering & Binary Analysis
Purpose
Enable Claude to assist with reverse engineering tasks including binary analysis, assembly interpretation, decompilation, firmware reverse engineering, and protocol analysis. Claude directly reads and interprets disassembled code, identifies patterns, reconstructs logic, and helps navigate complex binaries using RE tool output.
Activation Triggers
This skill activates when the user asks about:
- Analyzing an ELF, PE (exe/dll), Mach-O, or raw binary
- Interpreting x86, x64, ARM, MIPS, or RISC-V assembly code
- Reverse engineering firmware from embedded/IoT devices
- Reverse engineering a network protocol
- Using Ghidra, IDA Pro, radare2, or Binary Ninja output
- Identifying what a binary or function does
- Finding vulnerabilities in disassembly
- CTF binary challenges (pwn, reversing categories)
- Anti-debugging or anti-analysis technique identification
- Unpacking or deobfuscating binaries
Prerequisites
pip install capstone pyelftools pefile lief
Recommended RE tools:
Ghidra— NSA open-source RE framework (free)radare2/Cutter— Open-source RE frameworkBinary Ninja— Commercial RE platform with scriptingIDA Pro / Free— Industry standard disassemblerGDB + GEF/PEDA/pwndbg— Dynamic debuggingBinwalk— Firmware extraction and analysisstrings, file, objdump, readelf— Standard Linux utilities
Core Capabilities
1. Initial Binary Triage
When the user provides a binary or asks what a file is:
Run these commands and share output with Claude for analysis:
# File type identification
file suspicious_binary
# Strings extraction (often reveals C2, keys, paths)
strings -a suspicious_binary | grep -E "(http|/etc|password|key|secret|flag)"
# ELF analysis
readelf -a suspicious_binary
objdump -d suspicious_binary | head -100
# PE analysis
python scripts/binary_analyzer.py --file malware.exe --strings --imports
# Entropy analysis (high entropy = packed/encrypted)
python scripts/binary_analyzer.py --file binary --entropy
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 363 lines · 26 tokens per session scan A a8ba533bfdd7
Reverse Engineering & Binary Analysis is a skill published in the GitHub repository Masriyan/Claude-Code-CyberSecurity-Skill (389 stars, last pushed 26d ago), licensed MIT. It adds 26 tokens to every session and 3,385 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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