Redteam Recon Intake logo

Redteam Recon Intake

OrganizationPopular
Netw0rkNoob
redteam-recon-intake

Recon intake skill for first contact with a bare domain, URL, or IP address. Use to build an initial recon_profile and provide factual inputs for CVE lookup and attack-path routing.

Overview

PublisherNetw0rkNoob
RepositoryVulnClaw
Skill nameredteam-recon-intake
Stars
3.4K
Forks
454
Bundled files
1
LicenseMIT
Links
  • 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 Netw0rkNoob on GitHub. Read the source before you install it.

Installation

Install the Redteam Recon Intake AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/Netw0rkNoob/VulnClaw.git /tmp/VulnClaw
mkdir -p .claude/skills
cp -r /tmp/VulnClaw/vulnclaw/skills/specialized/redteam-recon-intake .claude/skills/redteam-recon-intake
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Redteam Recon Intake 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 Redteam Recon Intake 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 Redteam Recon Intake 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.

Recon Intake

Domain

裸域名/URL/IP 首次进入安全评估时的侦察入口。 负责从零建立目标资产画像(recon_profile),为后续 CVE Lookup 和攻击路径分配提供事实依据。

阶段顺序:

  1. DNS 解析 + 存活探测
  2. 端口扫描 + 服务指纹
  3. 子域枚举
  4. Web 目录/敏感文件探测
  5. WAF/CDN 识别
  6. 技术栈指纹(CMS/框架/中间件版本)

Boundaries

  • 不执行任何主动漏洞利用
  • 不发送破坏性请求(DELETE/DROP/shutdown)
  • 仅探测当前目标,不自动扩展到任务中未出现的关联域名/IP
  • 不进行暴力破解或密码喷洒
  • 不绕过速率限制(如被限速则降速或暂停)
  • 侦察深度止于信息收集,不进入漏洞验证阶段

Pivot Hints

  • WAF/CDN 阻断直连 → 尝试历史 DNS、邮件头、证书搜索获取真实 IP
  • 子域枚举受限 → 证书透明度日志、DNS 区域传送、关联域反查
  • 目录扫描被封 → 降速、换 User-Agent、使用自定义字典
  • 端口全部过滤 → 检查 IPv6、尝试常见高端口、确认目标存活
  • 信息收集饱和 → 整理已有信息,输出 recon_profile 并推进到下一阶段

Exit Evidence

  • Required: recon_profile, port_scan_result, service_fingerprint
  • min_attempts: 4

Bundled files

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

Frequently asked questions

What does the Redteam Recon Intake AI skill do?

Recon intake skill for first contact with a bare domain, URL, or IP address. Use to build an initial recon_profile and provide factual inputs for CVE lookup and attack-path routing.

Why use Redteam Recon Intake on TypingMind?

Because you install it once and use it with any model. Redteam Recon Intake 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 Redteam Recon Intake in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Netw0rkNoob/VulnClaw/tree/main/vulnclaw/skills/specialized/redteam-recon-intake. 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 Redteam Recon Intake?

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 Redteam Recon Intake?

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

Is the Redteam Recon Intake AI skill free?

Yes. It is published on GitHub by Netw0rkNoob 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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