Ffind

Organization

BrownFineSecurity

ffind

Advanced file finder with type detection and filesystem extraction for analyzing firmware and extracting embedded filesystems. Use when you need to analyze firmware files, identify file types, or extract ext2/3/4 or F2FS filesystems.

Overview

Publisher	BrownFineSecurity
Repository	`iothackbot`
Skill name	`ffind`
Stars	858
Forks	134
Bundled files	Instructions only
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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by BrownFineSecurity on GitHub. Read the source before you install it.

Installation

Install the Ffind 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.
https://github.com/BrownFineSecurity/iothackbot/tree/master/skills/ffind
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/BrownFineSecurity/iothackbot.git /tmp/iothackbot
mkdir -p .claude/skills
cp -r /tmp/iothackbot/skills/ffind .claude/skills/ffind

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

Use it in TypingMind

Enable Ffind 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 Ffind 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 Ffind 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.

Ffind - Advanced File Finder with Extraction

You are helping the user find and analyze files with advanced type detection and optional filesystem extraction capabilities using the ffind tool.

Tool Overview

Ffind analyzes files and directories, identifies file types, and can extract filesystems (ext2/3/4, F2FS) for deeper analysis. It's designed for firmware and IoT device analysis.

Instructions

When the user asks to analyze files, find specific file types, or extract filesystems:

Understand the target:
- Ask what path(s) they want to analyze
- Determine if they want to extract filesystems or just analyze
- Ask if they want all file types or just artifact types
Execute the analysis:
- Use the ffind command from the iothackbot bin directory
- Basic usage: ffind <path> [<path2> ...]
- To extract filesystems: ffind <path> -e
- Custom extraction directory: ffind <path> -e -d /path/to/output
- Show all file types: ffind <path> -a
- Verbose output: ffind <path> -v
Output formats:
- --format text (default): Human-readable colored output with type summaries
- --format json: Machine-readable JSON
- --format quiet: Minimal output
Extraction capabilities:
- Supports ext2/ext3/ext4 filesystems (requires e2fsprogs)
- Supports F2FS filesystems (requires f2fs-tools)
- Requires sudo privileges for extraction
- Default extraction location: /tmp/ffind_<timestamp>

Examples

Analyze a firmware file to see file types:

bash
ffind /path/to/firmware.bin

Extract all filesystems from a firmware image:

bash
sudo ffind /path/to/firmware.bin -e

Analyze multiple files and show all types:

bash
ffind /path/to/file1.bin /path/to/file2.bin -a

Extract to a custom directory:

bash
sudo ffind /path/to/firmware.bin -e -d /tmp/my-extraction

Important Notes

Name collision: The Sleuth Kit also ships a ffind (it finds file names for a given inode and takes a disk image plus an inode number). If which ffind points at /usr/bin/ffind or /usr/local/bin/ffind, the iothackbot flags below (-e, -d <dir>, -a, --format) will be misread by the wrong binary. Confirm with ffind --help (the iothackbot tool shows --extract/--format); if it shows image inode usage, invoke the iothackbot tool by its full path in the repo bin/ directory instead.
Extraction requires root/sudo privileges
Requires external tools: e2fsprogs, f2fs-tools, util-linux
Identifies "artifact" file types relevant to security analysis by default
Use -a flag to see all file types including common formats

Frequently asked questions

What does the Ffind AI skill do?

Why use Ffind on TypingMind?

Because you install it once and use it with any model. Ffind 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 Ffind in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/BrownFineSecurity/iothackbot/tree/master/skills/ffind. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ffind?

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 Ffind?

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

Is the Ffind AI skill free?

Yes. It is published on GitHub by BrownFineSecurity 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

Ffind - Advanced File Finder with Extraction

Tool Overview

Instructions

Examples

Important Notes

Frequently asked questions

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