Films Search logo

Films Search

Community
freestylefly
films-search

Search cloud drives for downloadable film and TV resources (movies, TV series, anime). Use this skill when the user wants to download a specific movie or TV show. Do NOT use for general movie information, schedules, reviews, or recommendations.

Overview

Publisherfreestylefly
Repositorywesight
Skill namefilms-search
Stars
947
Forks
208
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Films Search 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.
    https://github.com/freestylefly/wesight/tree/main/SKILLs/films-search
  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/freestylefly/wesight.git /tmp/wesight
mkdir -p .claude/skills
cp -r /tmp/wesight/SKILLs/films-search .claude/skills/films-search
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Films Search 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 Films Search 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 Films Search 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.

Films Search Skill

搜索影视资源(电影、电视剧、动漫),通过实时爬虫深度抓取资源页面,从各网盘平台获取公开分享的资源链接。

前置条件

  • web-search skill(必需,用于搜索发现资源页面)

命令

搜索资源

bash
bash "$SKILLS_ROOT/films-search/scripts/film-search.sh" search "关键词" [选项]

选项:

参数说明默认值
--pan <type>筛选网盘类型: quark, baidu, aliyun, uc, allall
--quality <q>筛选画质: 4k, 1080p, 720p, allall
--limit <n>每个平台最大结果数5
--engine <e>搜索引擎: deep, webdeep

引擎说明:

  • deep(默认,推荐)— web-search 搜索发现资源页面 + JavaScript 深度抓取提取网盘链接和提取码,结果最准确
  • web — 仅从 web-search 搜索引擎摘要中提取链接(速度快,但准确率较低,不做深度抓取)

示例:

bash
# 搜索所有平台的资源(默认使用深度搜索)
bash "$SKILLS_ROOT/films-search/scripts/film-search.sh" search "流浪地球2"

# 只搜夸克网盘 4K 资源
bash "$SKILLS_ROOT/films-search/scripts/film-search.sh" search "流浪地球2" --pan quark --quality 4k

# 限制结果数量
bash "$SKILLS_ROOT/films-search/scripts/film-search.sh" search "流浪地球2" --limit 10

# 使用浅层搜索(不深度抓取页面)
bash "$SKILLS_ROOT/films-search/scripts/film-search.sh" search "流浪地球2" --engine web

Windows 系统使用 PowerShell 脚本:

powershell
powershell -File "$SKILLS_ROOT/films-search/scripts/film-search.ps1" search "流浪地球2" --pan quark

热门推荐

bash
bash "$SKILLS_ROOT/films-search/scripts/film-search.sh" hot "2025年热门电影"

本质上是以推荐类关键词调用搜索,返回相关网盘资源。

解析跳转链接

bash
bash "$SKILLS_ROOT/films-search/scripts/film-search.sh" resolve "https://example.com/goto/xxx"

当搜索结果中的链接需要二次跳转时,用此命令解析出真实网盘地址。

Agent 使用流程

  1. 用户说「帮我找 XXX 电影」→ 执行 search "XXX"
  2. 解析返回的 JSON,提取网盘链接
  3. 按网盘类型和画质分组呈现给用户
  4. 如果结果中有提取码 (extractCode),一并展示给用户
  5. 如果结果中有 pageUrl 但没有直接 url,用 resolve 命令获取真实地址

示例对话:

用户:帮我找一下流浪地球2的夸克网盘资源,要4K的

Agent:

  1. 执行 search "流浪地球2" --pan quark --quality 4k
  2. 从 JSON 结果中取出匹配项
  3. 返回:标题 + 画质 + 夸克网盘链接 + 提取码(如有)

输出格式

所有命令输出 JSON,结构如下:

json
{
  "success": true,
  "data": {
    "query": "流浪地球2",
    "total": 5,
    "results": [
      {
        "title": "资源标题",
        "pan": "quark",
        "url": "https://pan.quark.cn/s/xxx",
        "quality": "4K",
        "extractCode": "ab12",
        "source": "deep-search",
        "pageUrl": "https://example.com/resource/123"
      }
    ]
  }
}

字段说明:

  • pan: 网盘类型 — quark(夸克), baidu(百度), aliyun(阿里), uc(UC), magnet(磁力)
  • quality: 检测到的画质 — 4K, 1080P, 720P, 空字符串表示未检测到
  • source: 结果来源 — deep-search(深度抓取), web-search(搜索摘要)
  • url: 网盘分享链接(可直接访问)
  • extractCode: 提取码/密码(如果检测到)
  • pageUrl: 结果来源页面 URL

配置

编辑 films-search/.env 可自定义偏好:

bash
# 偏好的网盘类型(逗号分隔,排在前面的优先展示)
FILM_SEARCH_PREFERRED_PAN=quark,aliyun,baidu,uc

# 深度搜索开关(推荐开启)
FILM_SEARCH_DEEP_ENABLED=true

# 每次搜索最多访问的结果页面数
FILM_SEARCH_DEEP_MAX_PAGES=6

# 并发抓取页面数
FILM_SEARCH_DEEP_CONCURRENCY=4

注意事项

  • 搜索建议使用中文片名,效果最好
  • 深度搜索(--engine deep)比浅层搜索多 2-3 秒,但结果准确得多
  • 深度搜索需要 web-search skill 启用,首次搜索可能需要等待浏览器启动
  • 网盘分享链接可能随时失效,建议尽快使用

免责声明

本工具仅供个人学习和研究使用。不托管、不分发、不提供任何版权内容,仅聚合搜索引擎上公开可访问的链接。请遵守所在地区的法律法规。

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 Films Search AI skill do?

Search cloud drives for downloadable film and TV resources (movies, TV series, anime). Use this skill when the user wants to download a specific movie or TV show. Do NOT use for general movie information, schedules, reviews, or recommendations.

Why use Films Search on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/freestylefly/wesight/tree/main/SKILLs/films-search. 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 Films Search?

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 Films Search?

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

Is the Films Search AI skill free?

Yes. It is published on GitHub by freestylefly 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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