vm-and-bytecode-reverse

vm-and-bytecode-reverse is a skill for Claude Code, Codex from miru-zero/zero-brain. It costs 42 tokens per session (4,212 once invoked), scanned A, a copy of vm-and-bytecode-reverse, MIT.

A reverse-engineering guide for custom virtual machines and bytecode interpreters, including programs that execute their own instruction format.

In plain words
What is it for?
Use it to identify instruction dispatchers, map custom operations, reconstruct a disassembler, and analyze CTF challenges or protected software.
Why use it?
It helps make protected or unfamiliar program logic understandable when ordinary native-code analysis is not enough.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

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 skills/miru-zero/zero-brain/vm-and-bytecode-reverse
Any agent
npx skills add miru-zero/zero-brain --skill vm-and-bytecode-reverse
Clone the repo
git clone --depth 1 https://github.com/miru-zero/zero-brain

Made for: Claude Code, Codex.

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 vm-and-bytecode-reverse

README.md
[![agentmods](https://agentmods.dev/badge/skills/miru-zero/zero-brain/vm-and-bytecode-reverse.svg)](https://agentmods.dev/skills/miru-zero/zero-brain/vm-and-bytecode-reverse)
Your own site
<a href="https://agentmods.dev/skills/miru-zero/zero-brain/vm-and-bytecode-reverse"><img src="https://agentmods.dev/badge/skills/miru-zero/zero-brain/vm-and-bytecode-reverse.svg" alt="Measured on agentmods" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,212 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 94% copy Near-identical to another mod 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 5.1 $0.00042 $0.04212
Opus 5 $0.00021 $0.02106
Sonnet 5 $0.00008 $0.00842
Haiku 4.5 $0.00004 $0.00421

Measured 2d ago against content hash 7c42c034af26, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

vm-and-bytecode-reverse 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 2d 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.

Origin

This is a copy

94% identical to vm-and-bytecode-reverse — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/vm-and-bytecode-reverse/SKILL.md · 449 lines

How it starts

The opening of the file, as written. The whole thing — 449 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SKILL: VM & Bytecode Reverse Engineering — Expert Analysis Playbook

AI LOAD INSTRUCTION: Expert techniques for reversing custom virtual machines and bytecode interpreters. Covers dispatcher identification, opcode mapping, custom ISA reconstruction, disassembler/decompiler writing, maze challenges, and real-world VM protector analysis. Base models often fail to recognize the fetch-decode-execute pattern or attempt to analyze VM bytecode as native code.

Quick identification

Binary Pattern Likely VM Type Start With
while(1) { switch(bytecode[pc]) } Switch-based dispatcher Map each case to an operation
Indirect jump via table jmp [table + opcode*8] Table-based dispatcher Dump jump table, analyze handlers
Nested if-else chain on byte value If-chain dispatcher Same as switch, just different syntax
Stack push/pop dominant operations Stack-based VM Identify push, pop, arithmetic ops
reg[X] = ... array operations Register-based VM Map register indices to operations
2D grid + direction input Maze challenge Extract grid, apply BFS/DFS

1. CUSTOM VM IDENTIFICATION

1.1 Structural Indicators

VM Architecture Components:
┌─────────────────────────────────┐
│  Bytecode Program (data section)│
├─────────────────────────────────┤
│  Program Counter (pc/ip)        │
│  Register File / Stack          │
│  Memory / Data Area             │
├─────────────────────────────────┤
│  Dispatcher Loop                │
│  ├─ Fetch: opcode = code[pc]    │
│  ├─ Decode: lookup handler      │
│  └─ Execute: run handler        │
└─────────────────────────────────┘

Read the full file on GitHub · 449 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. 2d ago First seen · 449 lines · 42 tokens per session scan A 7c42c034af26

Subscribe to this mod's changes

vm-and-bytecode-reverse is a skill published in the GitHub repository miru-zero/zero-brain (0 stars, last pushed 18d ago), licensed MIT. It adds 42 tokens to every session and 4,212 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to vm-and-bytecode-reverse, differing in 6 lines, and is treated as a copy.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens