Pentest Agent Os

OrganizationPopular

AIPentest

pentest-agent-os

渗透测试Agent操作系统。把渗透抽象成状态空间搜索:不预设固定路径,以项目黑板 Fact 图 (upsert_project_fact)+漏洞记录沉淀认知,路径从已验证事实上涌现。覆盖全杀伤链攻击手法 (联网情报/Web/认证/服务端/源码/社工/后渗透/二进制/内网域/云/区块链/AI/无线/硬件)+0day+ 组合拳+代理自举。核心:全网搜不到洞时现场推导独属于目标的攻击链。本文件为套件索引。 Use when starting a full-chain pentest engagement or needing the skill map for this suite.

Overview

Publisher	AIPentest
Repository	`CyberStrikeAI`
Skill name	`pentest-agent-os`
Stars	6.9K
Forks	1.2K
Bundled files	Instructions only
License	Apache-2.0
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 AIPentest on GitHub. Read the source before you install it.

Installation

Install the Pentest Agent Os 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/AIPentest/CyberStrikeAI.git /tmp/CyberStrikeAI
mkdir -p .claude/skills
cp -r /tmp/CyberStrikeAI/skills/pentest-agent-os .claude/skills/pentest-agent-os

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

Use it in TypingMind

Enable Pentest Agent Os 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 Pentest Agent Os 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 Pentest Agent Os 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.

渗透测试Agent操作系统

渗透不是执行脚本,是搜索路径。 不给自己预设固定路径/角色/已知利用链。给定起点与目标, 路径未知 → 在状态空间里搜索:不断试不同路径、试错、反馈、逼近目标。 跳出固有攻击链 = 不问"它有没有已知CVE",而问"基于项目黑板上已掌握的事实,下一步最有效的动作是什么"。状态落点见 pentest-blackboard（SQLite 项目事实，非磁盘 Intent/Hint 状态机）。

套件映射（按作用分类）

主题	skill `name`	作用
套件索引与核心心法	`pentest-agent-os`	套件索引与核心心法
项目黑板	`pentest-blackboard`	项目 Fact 图 / 边记录 / 与漏洞分工
验证铁律	`pentest-verification`	验证铁律（防幻觉）
能力原语 + 状态空间搜索	`capability-primitive-search`	能力原语凑链/状态空间搜索
联网情报收集	`component-vuln-intel`	组件识别后联网搜洞
侦察/攻击面测绘	`attack-surface-recon`	侦察与攻击面测绘
初始访问/钓鱼/社工	`initial-access-phishing`	初始访问/钓鱼/社工
Web注入+认证+服务端+杂项+CDN	`web-attack-methods`	Web全栈攻击手法
源码狩猎	`source-code-hunting`	源码/密钥/供应链狩猎
后渗透/提权+凭据破解	`post-exploitation`	后渗透/提权/凭据/密码学
内网域	`active-directory-attack`	内网域/AD攻击
APK/EXE/二进制	`binary-mobile-reversing`	移动端/二进制逆向
云	`cloud-attack-methods`	云与对象存储攻击
区块链/智能合约	`blockchain-contract-attack`	区块链/智能合约
AI/LLM应用	`ai-llm-app-attack`	AI/LLM应用攻击
无线/硬件	`wireless-hardware-attack`	无线与硬件攻击
0day自主发现引擎	`zero-day-discovery`	0day/N-day自主发现
自找代理+工具自举	`proxy-tool-bootstrap`	代理换路与工具自举
OPSEC/隐蔽作战	`redteam-opsec`	OPSEC/隐蔽作战纪律
输出规范	`pentest-output-standards`	报告/台账/输出规范
专题实战+文件索引	`specialized-attack-playbooks`	专题实战利用手册
不设限原则	`unlimited-attack-scope`	不设限原则

使用方式

先加载 pentest-agent-os（本索引）理解套件结构。
按当前攻击面加载对应 skill（例：识别组件→component-vuln-intel；Web→web-attack-methods；全网无洞→zero-day-discovery）。
黑板/铁律/能力原语（pentest-blackboard / pentest-verification / capability-primitive-search）为全流程常驻规则。
按攻击面加载对应 skill；细节均在目标 skill 内完整保留。

强制行为触发器速查（完整原文在 `pentest-blackboard`）

触发1[识别→搜] → 执行 component-vuln-intel 全部命令；线索 tentative，验证后再 confirmed/漏洞
触发2[拒绝→换路] → 执行 proxy-tool-bootstrap 换路序列；不通则写负结果 Fact
触发3[新认知→横向] → 凭据/域名/IP 立即横向扩展并 upsert_project_fact

Frequently asked questions

What does the Pentest Agent Os AI skill do?

Why use Pentest Agent Os on TypingMind?

Because you install it once and use it with any model. Pentest Agent Os 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 Pentest Agent Os in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AIPentest/CyberStrikeAI/tree/main/skills/pentest-agent-os. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pentest Agent Os?

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 Pentest Agent Os?

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

Is the Pentest Agent Os AI skill free?

Yes. It is published on GitHub by AIPentest under the Apache-2.0 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

渗透测试Agent操作系统

套件映射（按作用分类）

使用方式

强制行为触发器速查（完整原文在 pentest-blackboard）

Frequently asked questions

Related AI Skills

Set up your own AI workspace now

强制行为触发器速查（完整原文在 `pentest-blackboard`）