Ot Ics

CommunityPopular

zhaoxuya520

ot-ics

Use for authorized OT/ICS security assessment covering Purdue model zoning, PLC/SCADA exposure, industrial protocol discovery, and safe passive-first evaluation.

Overview

Publisher	zhaoxuya520
Repository	`reverse-skill`
Skill name	`ot-ics`
Stars	41K
Forks	5.8K
Bundled files	1
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.
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 zhaoxuya520 on GitHub. Read the source before you install it.

Installation

Install the Ot Ics 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/zhaoxuya520/reverse-skill/tree/main/skills/ot-ics
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/zhaoxuya520/reverse-skill.git /tmp/reverse-skill
mkdir -p .claude/skills
cp -r /tmp/reverse-skill/skills/ot-ics .claude/skills/ot-ics

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

Use it in TypingMind

Enable Ot Ics 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 Ot Ics 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 Ot Ics 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.

OT / ICS Security

ACTION REQUIRED（读完后立刻执行）

NOW: 读取 ../field-journal/precedent-pentest.md — 工控环境误操作可致物理危害
NOW: 书面授权必须写清：站点、网段、是否允许主动扫描/写寄存器
NOW: case-init；默认 passive-first；ready_for_act 前禁止对 PLC 写操作
NEXT: tool-index；多数工控工具需手动与隔离实验网
ACT: 资产与分区识别 → 暴露面 → 只读验证

适用场景

工控/SCADA/DCS 安全评估（授权）
Purdue 模型分区与跨区通道
Modbus/DNP3/S7/EtherNet/IP 等协议暴露
工程师站、HMI、历史库、跳板主机
IT/OT 融合边界（防火墙规则、单向闸）

安全铁律（MUST）

text
MUST NOT 在未明确允许时：
- 对 PLC 写线圈/寄存器
- 全网高速率扫描生产 OT
- 中断安全仪表系统（SIS）相关路径
优先：只读识别、流量镜像、离线固件/配置分析

工作流

Phase 1 — 分区与资产

text
□ Purdue L0–L5 草图：现场设备 → 控制 → 监督 → 站点 DMZ → 企业
□ 资产清单：PLC/RTU/HMI/工程师站/历史库/Jump host
□ 协议与端口基线（仅授权网段）

Phase 2 — 被动与只读

text
□ SPAN/镜像 PCAP → protocol-reverse / Wireshark 工控解析器
□ 配置与工程文件离线审计（TIA/RSLogix 导出等）
□ 默认口令与明文协议（Modbus 无认证）记录为 Finding，不写盘改值

Phase 3 — 受限主动（仅授权）

text
□ 低速识别，维护窗口
□ 只读功能码优先
□ 每步 Evidence；异常立即停止并通报

Phase 4 — 固件/补丁面

text
□ 控制器固件版本 → CVE 映射（不盲刷固件）
□ 联合 firmware-pentest 做离线镜像分析

工具链

工具	用途	注意
Wireshark 工控 dissectors	被动解析	镜像流量
Nmap NSE（受限）	识别	速率与时间窗
Claroty/Nozomi 等	资产发现	商业/现场
PLC 厂商工程软件	配置审计	离线优先
binwalk / Ghidra	固件	离线

参考

references/ot-safe-assessment.md
../firmware-pentest/ ../protocol-reverse/ ../network via pentest-tools

路由上下文

上游: MASTER R28
下游: 固件深挖 firmware-pentest；协议 protocol-reverse；IT 横向 windows-ad/attack-chain
同级: 不要用普通 Web 扫默认参数打 OT

任务完成自检

是否默认被动/只读并记录授权边界？
是否避免对控制回路写操作（除非明确允许）？
Finding 是否含物理/过程影响说明？
Checklist / journal？

Bundled files

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

references/ot-safe-assessment.md1 KB

Frequently asked questions

What does the Ot Ics AI skill do?

Use for authorized OT/ICS security assessment covering Purdue model zoning, PLC/SCADA exposure, industrial protocol discovery, and safe passive-first evaluation.

Why use Ot Ics on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhaoxuya520/reverse-skill/tree/main/skills/ot-ics. 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 Ot Ics?

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 Ot Ics?

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

Is the Ot Ics AI skill free?

Yes. It is published on GitHub by zhaoxuya520 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

OT / ICS Security

ACTION REQUIRED（读完后立刻执行）

适用场景

安全铁律（MUST）

工作流

Phase 1 — 分区与资产

Phase 2 — 被动与只读

Phase 3 — 受限主动（仅授权）

Phase 4 — 固件/补丁面

工具链

参考

路由上下文

任务完成自检

Bundled files

Frequently asked questions

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