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Lov Filing Monitor

Organization
lovstudio
lov-filing-monitor

定期打开接入商、工信部或公安平台权威页面,比较备案状态并追加巡检台账;用户说“每天检查备案”“没变化就静默”或 "monitor the filing status" 时使用,只在变化或需人工动作时提醒。

Overview

Publisherlovstudio
Repositoryskills
Skill namelov-filing-monitor
Stars
67
Forks
17
Bundled files
10
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.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Lov Filing Monitor 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/lovstudio/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/china-website-filing/skills/filing-monitor .claude/skills/lov-filing-monitor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lov Filing Monitor 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 Lov Filing Monitor 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 Lov Filing Monitor 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.

备案哨兵 · Filing Monitor

Input and output

  • 输入:权威入口、巡检频率、台账路径、上一状态、静默/通知策略和完成门。
  • 输出:本次权威状态、差异、用户动作、追加记录,以及按策略触发的通知或完成信号。

Triggers

Activate when

  • 用户说“每天检查备案状态”“没变化就不要通知”“审核通过后暂停巡检”。
  • User asks to "monitor the filing status" or "notify me only when the filing changes".

Do not activate when

  • 只需要一次性查询且不保留记录;直接使用对应 ICP 或公安模块。
  • 用户要通用业务自动化而非备案状态机;交给宿主自动化或通用工作流能力。

Workflow (MANDATORY)

  1. 读取 $KIT_DIR/references/status-taxonomy.mdauthority-gates.md、本模块组合记录和用户明确的通知策略。
  2. 运行 python3 "$KIT_DIR/scripts/filing_record.py" check --path RECORD,读取上一条状态。
  3. 复用用户当前已登录的浏览器会话,优先打开具体订单/申请详情,其次列表;搜索结果和旧记录不能充当当前状态。
  4. 核验适用字段:域名实名同步、接入商审核、补充材料、短信核验、管局结果、DNS/HTTPS/页脚、公安审核与安全评估。
  5. 先用 compare 判断权威来源、阶段、状态、域名状态和动作是否变化,再用 append 追加本次观察。
  6. 无变化且无需用户动作时只写记录并静默。变化、登录/验证码阻塞、补充材料、驳回、通过或完成门满足时才按用户指定渠道通知。
  7. 浏览器收尾时保留需要接管的 handoff 页面,清理本轮新开的无关标签页。

Completion gate

监控只能在用户定义的最终权威门满足后暂停。ICP 中间状态、公安待审核、缓存备案号或无法登录都不能触发完成。

Dependencies

Python 3.8+ for the ledger CLI. Scheduling, browser control and notifications are host-provided.

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 Lov Filing Monitor AI skill do?

定期打开接入商、工信部或公安平台权威页面,比较备案状态并追加巡检台账;用户说“每天检查备案”“没变化就静默”或 "monitor the filing status" 时使用,只在变化或需人工动作时提醒。

Why use Lov Filing Monitor on TypingMind?

Because you install it once and use it with any model. Lov Filing Monitor 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 Lov Filing Monitor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lovstudio/skills/tree/main/skills/china-website-filing/skills/filing-monitor. 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 Lov Filing Monitor?

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 Lov Filing Monitor?

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

Is the Lov Filing Monitor AI skill free?

Yes. It is published on GitHub by lovstudio 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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