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
Profile →npx skills add asdfgh1445/ctf-super-hub --skill strix-ffuf --agent codex
Same command for any agent — swap --agent for claude-code, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 -noninteractiv
What does the Strix•ffuf 用法 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
How do I install it?
Run `npx skills add asdfgh1445/ctf-super-hub --skill strix-ffuf --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From asdfgh1445/ctf-super-hub, a repository with 718 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.