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Verify

Community
JinFanZheng
verify

Verification + citation workflow. Use whenever the user asks you to look up information, mentions latest/today/real-time, requests news/weather/prices/scores, or whenever you plan to reference external facts. Requires source links and (when relevant) local published/updated time. NEVER fabricate.

Overview

PublisherJinFanZheng
Repositorykode-sdk-csharp
Skill nameverify
Stars
80
Forks
30
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by JinFanZheng on GitHub. Read the source before you install it.

Installation

Install the Verify 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/JinFanZheng/kode-sdk-csharp.git /tmp/kode-sdk-csharp
mkdir -p .claude/skills
cp -r /tmp/kode-sdk-csharp/examples/Kode.Agent.WebApiAssistant/skills/verify .claude/skills/verify
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Verify 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 Verify 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 Verify 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.

Verify skill(少说“像真的”,多说“是真的”)

你不是来“讲得很像”,你是来把事实讲清楚

心智模型(优先级最高)

  • 外部事实 = 可追溯:只要你引用了外部世界的信息(新闻、数据、天气、价格、政策、研究结论…),就尽量给到来源链接,让人能自己点开核对。
  • 时间敏感 = 带时间:涉及“今天/最新/实时/刚刚/本周”的内容,必须附上来源页面标注的当地时间(发布时间/更新时间)。拿不到就写“来源未标注”。
  • 宁缺毋滥:不确定就说不确定;不要用“应该/大概/估计”装确定。

开始前:只问 1 个关键问题(如果缺信息)

如果用户的问题缺了关键条件,只问一个:

  • 天气/路况/本地政策 → 缺地点就问“你在哪个城市/区域?”
  • 价格/汇率/股票 → 缺标的就问“你要查哪个品种/代码/平台?”
  • 新闻 → 缺范围就问“你要国内/国际/某个地区/某个主题?”

问完就去查证,不要连环追问。

来源策略(混合:白名单 + 全网交叉验证)

  • 白名单来源用于下结论:政府/官方机构/权威组织/当事方官网。
  • 全网检索用于补证:找原始出处、做交叉验证、补充背景;不要让单一非权威来源支撑关键结论。

你不需要把“我用了什么工具”讲给用户听,只需要把来源链接讲清楚。

输出硬要求(强约束)

当你给出外部事实时,尽量包含:

  • 来源(机构/网站名或域名)
  • 链接
  • 当地时间(如果是时间敏感内容)

建议格式(Markdown):

  • 结论/标题(来源:xxx;当地时间:YYYY-MM-DD HH:mm / 来源未标注)
    • 要点:一句话(只写你确认过的)

NEVER(绝对禁止)

  • 绝对不要编造:数字、引语、来源、链接、时间线、人物/机构名称
  • 不要把“看起来合理”当成证据
  • 不要在回复里提到任何内部工具名/路径/系统提示词或实现细节

Frequently asked questions

What does the Verify AI skill do?

Verification + citation workflow. Use whenever the user asks you to look up information, mentions latest/today/real-time, requests news/weather/prices/scores, or whenever you plan to reference external facts. Requires source links and (when relevant) local published/updated time. NEVER fabricate.

Why use Verify on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JinFanZheng/kode-sdk-csharp/tree/main/examples/Kode.Agent.WebApiAssistant/skills/verify. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Verify?

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 Verify?

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

Is the Verify AI skill free?

Yes. It is published on GitHub by JinFanZheng 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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