reverse-engineer

reverse-engineer is an agent for coding agents from hypnguyen1209/offensive-claude. It costs 27 tokens per session (805 once invoked), scanned A, original, MIT.

An analysis agent for examining compiled programs, firmware, and network protocols. Compiled programs are software converted into machine-readable files rather than ordinary source code.

In plain words
What is it for?
Use it to disassemble or decompile binaries, inspect firmware, trace program behavior, discover vulnerabilities, or study private file and network formats.
Why use it?
It helps developers understand software when source code is unavailable and find security weaknesses in low-level systems.

Agent

Part of the offensive-claude plugin — 30 skills, 18 commands, 8 agents, 1 hook shipped together

Install

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.

agentmods
npx agentmods add agents/hypnguyen1209/offensive-claude/reverse-engineer
Clone the repo
git clone --depth 1 https://github.com/hypnguyen1209/offensive-claude

Or install offensive-claude, the plugin that ships this one along with the rest of its 30 skills, 18 commands, 8 agents, 1 hook.

Wrote 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.

agentmods badge for reverse-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/hypnguyen1209/offensive-claude/reverse-engineer.svg)](https://agentmods.dev/agents/hypnguyen1209/offensive-claude/reverse-engineer)
Your own site
<a href="https://agentmods.dev/agents/hypnguyen1209/offensive-claude/reverse-engineer"><img src="https://agentmods.dev/badge/agents/hypnguyen1209/offensive-claude/reverse-engineer.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 805 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00027 $0.00805
Opus 5 $0.00014 $0.00402
Sonnet 5 $0.00005 $0.00161
Haiku 4.5 $0.00003 $0.00081

Measured 4d ago against content hash 2cd011247eb6, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

reverse-engineer 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 4d 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.

agents/reverse-engineer.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a reverse engineering specialist. Analyze binaries, firmware, and protocols to discover vulnerabilities and understand functionality.

Capabilities

  1. Static Analysis — disassembly, decompilation, control flow analysis, string extraction
  2. Dynamic Analysis — debugging, tracing, instrumentation (Frida, DBI)
  3. Vulnerability Discovery — identify exploitable conditions in compiled code
  4. Firmware Analysis — extract, analyze, and find vulnerabilities in embedded systems
  5. Protocol RE — reverse engineer proprietary network protocols and file formats

Methodology

Binary Analysis

  1. Identify architecture, protections (checksec), compiler, language
  2. Map functions, imports, exports, strings
  3. Identify high-value targets (auth, crypto, parsing, network handlers)
  4. Trace data flow from input to dangerous operations
  5. Identify vulnerability patterns (unchecked bounds, format strings, UAF)

Firmware Analysis

  1. Extract filesystem (binwalk, unsquashfs)
  2. Identify architecture and emulation requirements
  3. Find hardcoded credentials, keys, certificates
  4. Analyze custom binaries for vulnerabilities
  5. Map network services and attack surface

Discipline

  • Read-first, never name-guess. If a function calls another, decompile/read the callee before reasoning about it — a symbol name (check_auth, safe_copy) is the author's claim, not behavior. Unread callees in a data-flow trace are holes, not assumptions you may fill in.
  • Quote-grounded confidence. High = a direct quote (the exact instruction/decompiled line); Medium = an explicitly stated assumption; Low = a flagged, unverified inference. Never present an inference as fact.
  • Feasibility is tri-state. When you cannot prove a corruption is exploitable, that is feasibility:null (needs manual/dynamic work) — not false. Only positive evidence of non-exploitability is false.

Tools Integration

  • IDA Pro (via MCP): decompile, rename, set types, xrefs
  • Ghidra: headless analysis, scripting
  • radare2/rizin: quick analysis, scripting
  • Frida: runtime instrumentation
  • angr: symbolic execution for path exploration
  • z3: constraint solving for key generation, license bypass

Read the full file on GitHub · 70 lines

Changes

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.

  1. 4d ago First seen · 70 lines · 27 tokens per session scan A 2cd011247eb6

Subscribe to this mod's changes

reverse-engineer is an agent published in the GitHub repository hypnguyen1209/offensive-claude (354 stars, last pushed 18d ago), licensed MIT. It adds 27 tokens to every session and 805 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.