---
title: "RIP Reverse Engineer Anything！この 8 KB スキルが REA を上回る（38% 高速）"
url: "https://reamcp.dev/ja/cases/rip-reverse-engineer-anything-this-8-kb-skill-outperforms-re-cbdb17"
source: "https://www.youtube.com/watch?v=0Otn8QGGtRw"
source_type: "resource"
author: "AICodeKing"
author_handle: "aicodeking"
stars: 0
category: "ツール・連携"
categories: ["tools-integrations"]
tags: ["benchmark", "claude-code", "cli-tools", "mcp", "reverse-engineering"]
added: "2026-10-18T02:14:15.565Z"
updated: "2026-10-17T09:16:41.000Z"
locale: "ja"
content_locale: "ja"
---

# RIP Reverse Engineer Anything！この 8 KB スキルが REA を上回る（38% 高速）

AICodeKing が、8 KB のスキルファイルである LeanREA を REA（Reverse Engineer Anything）とベンチマークし、REA の内部を説明し、36 回の実行で速度、コスト、精度を比較します。

## Description

このチャンネルに参加して特典を利用する：
https://www.youtube.com/channel/@aicodeking/join

LeanREA にスターを付ける：https://github.com/aicodeking/leanrea

このビデオでは、MCP サーバーや追加ツールなしで REA（Reverse Engineer Anything）と同じ仕事をするために私が構築した、単一の 8 KB スキルファイルである LeanREA を紹介します。REA の内部動作を説明し、次にスキルの内容を順に説明します：ルール、各ターゲットタイプを最速のコマンドにマッピングするルーターテーブル、すぐに実行できる最初の動き。次に、Claude Code で Sonnet 5.5 を使用した 36 回の実行にわたるベンチマークを示します。LeanREA は同じ精度で REA より 38% 高速で 35% 安価でした。さらにコンテキストテストとツールごとの速度テストも行いました。ベンチマークの限界、自分のスキルで見つけた 2 つのバグ、1 つの npx skills コマンドでインストールする方法についても話します。

## Original README

RIP Reverse Engineer Anything! This 8 KB Skill Outperforms REA (38% Faster)

Join this channel to get access to perks:
https://www.youtube.com/channel/@aicodeking/join

Star LeanREA here: https://github.com/aicodeking/leanrea

In this video, I'll show you LeanREA, a single 8 KB skill file that I built to do the same job as REA (Reverse Engineer Anything) without an MCP server or any extra tools. I explain what REA is under the hood, then go through what is inside the skill: the rules, the router table that maps each target type to its fastest command, and the ready-to-run first moves. Then I show my benchmark in Claude Code with Sonnet 5.5 across 36 runs, where LeanREA was 38% faster and 35% cheaper than REA at the same accuracy, plus the context test and a tool-by-tool speed test. I also talk about the limits of the benchmark, two bugs I found in my own skill, and how to install it with one npx skills command.

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Key Takeaways:

📦 LeanREA is one 8 KB skill file with no MCP server and no extra tools; the agent runs the real tools in its normal shell.
🔀 REA is an MCP server plus a CLI that adds 207 tools, and under the hood it mostly calls tools you already have, like asar, otool, nm and jadx.
🧠 The skill has a short list of rules, a router table for 15 target types, and first moves that do many checks in one shell call.
📊 In 36 graded runs, LeanREA took 388 seconds, no skill took 479 seconds and REA took 627 seconds.
💸 LeanREA cost $2.17 against $3.36 for REA, with 56% fewer turns and 60% fewer tokens, and scored 74/75 against REA's 75/75.
⚠️ With tool search turned off, one "reply with OK" message with REA used about 400k tokens and cost $1.60.
⚡ On the same file, REA's Go build info took about half a second, and plain go version -m took 0.06 seconds.
👍 The plain model with no skill was already very good, so the big win is against REA, not against the model alone.
🔍 Two bugs I found in my own skill: ripgrep skips hidden folders like .webpack (use -uu), and zsh breaks echo with two equal signs.
✅ My verdict: if you are a programmer, use the small skill, because it is faster, cheaper, and you can read all of it in two minutes.