Binary Ninja Reverse

CommunityPopular

zhaoxuya520

binary-ninja-reverse

Use for authorized binary analysis in Binary Ninja, including HLIL/MLIL/LLIL inspection, strings/imports/exports, cross-references, types, patch review, Python API automation, and optional Binary Ninja MCP or localhost HTTP integration.

Overview

Publisher	zhaoxuya520
Repository	`reverse-skill`
Skill name	`binary-ninja-reverse`
Stars	36.3K
Forks	5K
Bundled files	1
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by zhaoxuya520 on GitHub. Read the source before you install it.

Installation

Install the Binary Ninja Reverse AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/zhaoxuya520/reverse-skill.git /tmp/reverse-skill
mkdir -p .claude/skills
cp -r /tmp/reverse-skill/skills/binary-ninja-reverse .claude/skills/binary-ninja-reverse

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Binary Ninja Reverse in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Binary Ninja Reverse on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Binary Ninja Reverse is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Binary Ninja reverse engineering

Use Binary Ninja when the user explicitly selects it, when its ILs materially help data-flow analysis, or when IDA/Ghidra/radare2 results need an independent cross-check.

Start safely

Confirm the repository case scope is ready before acting on a target.
Check skills/tool-index.md for binaryninja; Binary Ninja is commercial software and must be installed manually with a valid Vector 35 license.
Work on a copy when applying patches or saving database changes.
Record imports/exports, entry points, architecture, and file hash before promoting findings.

Choose the integration

GUI or Python API: preferred when Binary Ninja is already open or the user wants direct interactive analysis.
Community MCP bridge: use only when explicitly requested and after reviewing the third-party plugin boundary. Keep the Binary Ninja HTTP listener on 127.0.0.1:9009; do not enable network exposure by default.
Fallback: use ghidra-reverse, ida-reverse, or radare2 when Binary Ninja is unavailable or its license/API cannot open the target.

The reviewed community integration is fosdickio/binary_ninja_mcp, GPL-3.0, plugin metadata version 1.1.0, minimum Binary Ninja build 4000. The repository is not an official Vector 35 component. This skill was checked against commit 8c5134ee46e2bf44f9a4d846bd971c3e39b3e306 on 2026-09-03.

Install the Binary Ninja side through its Plugin Manager or from the reviewed source. For the MCP stdio bridge, pin the published bridge version rather than using an unbounded package:

text
npx -y binary-ninja-mcp@1.0.0 --host 127.0.0.1 --port 9009

Register that command only in the MCP client the user selected. The bridge is not ready until Binary Ninja is running, a binary is open, and the localhost plugin endpoint responds.

Analysis workflow

Enumerate open binaries and select the intended view.
Capture binary status, entry points, segments, imports, exports, and representative strings.
Follow call sites and cross-references before interpreting a function in isolation.
Use HLIL for readable logic, MLIL SSA for data flow, and LLIL/disassembly when lifting loses instruction-level behavior.
Apply names, comments, and types incrementally; keep the original addresses in evidence.
Treat byte patches, prototype changes, and saved-file writes as mutations. Perform them only when requested and preserve the original artifact.
Cross-check high-impact conclusions with a second evidence source or another disassembler.

Useful MCP capability families include binary/view selection, list_imports, list_exports, list_strings, decompile_function, get_il, callers/callees, cross-references, types, comments, renames, and byte patching. Discover the live tool list instead of assuming every upstream function is present.

Output

Report concrete addresses, function names, IL level, supporting strings/imports, confidence, and reproduction steps. Keep the Evidence → Finding → Path chain used by the rest of the repository.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB

Frequently asked questions

What does the Binary Ninja Reverse AI skill do?

Why use Binary Ninja Reverse on TypingMind?

Because you install it once and use it with any model. Binary Ninja Reverse is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Binary Ninja Reverse in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/skills/binary-ninja-reverse. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Binary Ninja Reverse?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Binary Ninja Reverse?

As many as you like. As long as a model supports skills, you can use Binary Ninja Reverse with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Binary Ninja Reverse AI skill free?

Yes. It is published on GitHub by zhaoxuya520 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Binary Ninja reverse engineering

Start safely

Choose the integration

Analysis workflow

Output

Bundled files

Frequently asked questions

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