Strix•Ffuf 用法

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asdfgh1445

Strix•ffuf 用法

Strix ffuf 模糊测试命令手册,覆盖匹配器、过滤器与自动化友好参数;触发名:strix-ffuf

Overview

Publisher	asdfgh1445
Repository	`ctf-super-hub`
Skill name	`Strix•ffuf 用法`
Stars	836
Forks	105
Bundled files	Instructions only
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 asdfgh1445 on GitHub. Read the source before you install it.

Installation

Install the Strix•Ffuf 用法 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/asdfgh1445/ctf-super-hub/tree/main/strix-ffuf
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/asdfgh1445/ctf-super-hub.git /tmp/ctf-super-hub
mkdir -p .claude/skills
cp -r /tmp/ctf-super-hub/strix-ffuf .claude/skills/asdfgh1445-strix-ffuf

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

Use it in TypingMind

Enable Strix•Ffuf 用法 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 Strix•Ffuf 用法 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 Strix•Ffuf 用法 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.

ffuf CLI Playbook

Official docs:

https://github.com/ffuf/ffuf

Canonical syntax: ffuf -w <wordlist> -u <url_with_FUZZ> [flags]

High-signal flags:

-u <url> target URL containing FUZZ
-w <wordlist> wordlist input (supports KEYWORD mapping via -w file:KEYWORD)
-mc <codes> match status codes
-fc <codes> filter status codes
-fs <size> filter by body size
-ac auto-calibration
-t <n> threads
-rate <n> request rate
-timeout <seconds> HTTP timeout
-x <proxy_url> upstream proxy (HTTP/SOCKS)
-ignore-body skip downloading response body
-noninteractive disable interactive console mode
-recursion and -recursion-depth <n> recursive discovery
-H <header> custom headers
-X <method> and -d <body> for non-GET fuzzing
-o <file> -of <json|ejson|md|html|csv|ecsv> structured output

Agent-safe baseline for automation: ffuf -w wordlist.txt -u https://target.tld/FUZZ -mc 200,204,301,302,307,401,403,405 -ac -t 20 -rate 50 -timeout 10 -noninteractive -of json -o ffuf.json

Common patterns:

Basic path fuzzing: ffuf -w /path/wordlist.txt -u https://target.tld/FUZZ -mc 200,204,301,302,307,401,403 -ac -t 40 -rate 200 -noninteractive
Vhost fuzzing: ffuf -w vhosts.txt -u https://target.tld -H 'Host: FUZZ.target.tld' -fs 0 -ac -noninteractive
Parameter value fuzzing: ffuf -w values.txt -u 'https://target.tld/search?q=FUZZ' -mc all -fs 0 -ac -t 30 -noninteractive
POST body fuzzing: ffuf -w payloads.txt -u https://target.tld/login -X POST -H 'Content-Type: application/x-www-form-urlencoded' -d 'username=admin&password=FUZZ' -fc 401 -noninteractive
Recursive discovery: ffuf -w dirs.txt -u https://target.tld/FUZZ -recursion -recursion-depth 2 -ac -t 30 -noninteractive
Proxy-instrumented run: ffuf -w wordlist.txt -u https://target.tld/FUZZ -x http://127.0.0.1:48080 -mc 200,301,302,403 -ac -noninteractive

Critical correctness rules:

FUZZ must appear exactly at the mutation point in URL/header/body.
If using -w file:KEYWORD, that same KEYWORD must be present in URL/header/body.
Always include -noninteractive in agent/script execution to prevent ffuf console mode from swallowing subsequent shell commands.
Save structured output with -of json -o <file> for deterministic parsing.

Usage rules:

Prefer explicit matcher/filter strategy (-mc/-fc/-fs) over default-only output.
Start conservative (-rate, -t) and scale only if target tolerance is known.
Do not use -h/--help during normal execution unless absolutely necessary.

Failure recovery:

If ffuf drops into interactive mode, send C-c and rerun with -noninteractive.
If response noise is too high, tighten -mc/-fc/-fs instead of increasing load.
If runtime is too long, lower -rate/-t and tighten scope.

If uncertain, query web_search with: site:github.com/ffuf/ffuf <flag> README

Frequently asked questions

What does the Strix•Ffuf 用法 AI skill do?

Strix ffuf 模糊测试命令手册,覆盖匹配器、过滤器与自动化友好参数;触发名:strix-ffuf

Why use Strix•Ffuf 用法 on TypingMind?

Because you install it once and use it with any model. Strix•Ffuf 用法 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 Strix•Ffuf 用法 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/asdfgh1445/ctf-super-hub/tree/main/strix-ffuf. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Strix•Ffuf 用法?

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 Strix•Ffuf 用法?

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

Is the Strix•Ffuf 用法 AI skill free?

It is published on GitHub by asdfgh1445. Check the repository for licensing terms. 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

ffuf CLI Playbook

Frequently asked questions

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