← Back to Skills Marketplace
390
Downloads
2
Stars
3
Active Installs
1
Versions
Install in OpenClaw
/install find-reference-video
Description
从 frameset.app 搜索视频参考片段，找到合集页面和原视频链接。用于： (1) 根据关键词搜索广告/电影片段参考，(2) 获取原视频 YouTube/Vimeo 链接，(3) 下载视频到本地。
README (SKILL.md)
Find Reference Video - 找参考视频
使用方式：用户说"帮我找一个和[话题]相关的参考片"，即调用此 skill。
完整流程
1. 搜索 frameset
直接搜索关键词，不需要问用户要几个。使用正确 URL 格式：https://frameset.app/search?search=关键词
2. 发送截图给用户确认
重要：不要直接选图片！先截取搜索结果页面发给用户看，让用户告诉你需要哪些编号（编号规则：从左到右，从上到下）。
3. 处理用户选择的编号
- 如果用户给的编号超过10个 → 提醒"数量较多，是否确认？"
- 如果用户执意超过15个 → 最多只找15个（取前15个）
4. 根据用户选择的编号获取合集页面链接
不要点击图片！ 而是：
- 鼠标 hover 到图片上（图片左上角会出现可点击的链接）
- 点击链接进入合集页面
5. 获取原视频链接
- 合集页面有 "Watch" / "Open in YouTube" / "Open in Vimeo" 按钮
- 点击获取视频 URL
6. 列出表格
用 Markdown 表格列出结果：
| # | 合集名称 | 合集链接 | 原视频链接 |
|---|---|---|---|
| 1 | xxx | https://frameset.app/... | https://... |
| 2 | xxx | https://frameset.app/... | https://... |
7. 询问是否下载
"需要下载哪些？告诉我编号（如：1,3,5）"
8. 执行下载
根据用户给的编号，下载对应视频到 ~/Downloads/
数量限制规则
- 超过 10 个 → 提醒用户"数量较多，是否确认？"
- 超过 15 个 → 最多只找 15 个
视频下载命令
# YouTube
yt-dlp -f "best[ext=mp4]/best" -o "视频名.%(ext)s" "视频链接"
# Vimeo
yt-dlp -f "best[ext=mp4]/best" -o "视频名.%(ext)s" "视频链接"
注意事项
- frameset 里的内容都是电影/广告的静帧
- 选择静态图片，跳过 GIF 动图（URL 含 _motion）
- 关键：搜索结果页面，鼠标悬停(hover)到图片上，不要点击，图片左上角会出现链接
- 每个步骤完成后都要等页面加载完成再操作
Usage Guidance
This skill appears to do what it says (search frameset.app, show screenshots, get original YouTube/Vimeo links, and optionally download). However: (1) the SKILL.md expects the agent to run yt-dlp and perform browser hover/click/screenshot actions but the package does not declare yt-dlp or any browser automation dependency — ask the publisher to explicitly list required binaries (yt-dlp) and the browsing/automation capability (Playwright/Selenium or a platform browser tool). (2) Confirm that your agent environment has outbound network access and permission to write to ~/Downloads, and that yt-dlp is trusted/installed from a reputable source. (3) Be aware this skill downloads media: ensure you have rights/permission before downloading copyrighted content. If the publisher updates the skill to list required tools and installation steps, the inconsistencies would be resolved and my assessment would be more positive.
Capability Analysis
Type: OpenClaw Skill
Name: find-reference-video
Version: 1.0.0
The skill is designed to search for video references on frameset.app and download them from YouTube or Vimeo using yt-dlp. The instructions in SKILL.md follow a logical, user-driven workflow that includes safety measures such as screenshot confirmation and a hard limit of 15 downloads to prevent resource abuse. No evidence of data exfiltration, malicious execution, or unauthorized access was found.
Capability Assessment
Purpose & Capability
The skill's described purpose is to find reference frames and fetch original YouTube/Vimeo links and optionally download videos. The SKILL.md explicitly requires running yt-dlp for downloads and performing browser interactions (hover, click, screenshot). However the skill metadata declares no required binaries, no install steps, and no capabilities (e.g., browser automation) — a mismatch between what the skill instructs and what it declares as required.
Instruction Scope
The runtime instructions stick to the declared intent: search frameset.app, show screenshots to the user for selection, follow collection pages to get original links, list them, and optionally download chosen videos. The instructions do not request unrelated system credentials or other sensitive files. They do require taking screenshots and writing downloads to ~/Downloads, which is within scope but should be explicitly documented.
Install Mechanism
There is no install spec even though the skill explicitly calls a third‑party tool (yt-dlp) for downloads. The absence of a declared dependency or guidance on ensuring yt-dlp and a browser automation capability are present is a gap: the skill may fail at runtime or an agent may attempt to run commands that aren't available. Instruction-only skills are low-risk when they accurately describe needed tools; here they do not.
Credentials
The skill requests no environment variables or credentials, which is appropriate. It does instruct saving files to ~/Downloads and performing network requests to frameset.app / youtube.com / vimeo.com. These actions require filesystem write and outbound network access but no secrets — reasonable for the stated purpose, but should be disclosed to users and documented.
Persistence & Privilege
The skill does not request persistent presence (always: false) and does not modify other skills or system-wide settings. Allowing autonomous invocation is the platform default and is not a unique concern here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install find-reference-video - After installation, invoke the skill by name or use
/find-reference-video - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of the “find_reference_video” skill:
- Enables searching for reference video clips on frameset.app using user-provided keywords, and download the original video directly.
- Provides a workflow: search, send search result screenshot, get user selection (by number), fetch collection and original video URLs, and list them in a Markdown table.
- Supports bulk operations: warns if more than 10 selections, limits to 15 max.
- Guides downloading of selected videos via yt-dlp directly to ~/Downloads/.
- Includes explicit instructions to avoid GIFs and to copy collection links by hovering, not clicking.
- Designed for Chinese-language users seeking film or ad clip references.
Metadata
Frequently Asked Questions
What is Find Reference Video via Frameset?
从 frameset.app 搜索视频参考片段，找到合集页面和原视频链接。用于： (1) 根据关键词搜索广告/电影片段参考，(2) 获取原视频 YouTube/Vimeo 链接，(3) 下载视频到本地。 It is an AI Agent Skill for Claude Code / OpenClaw, with 390 downloads so far.
How do I install Find Reference Video via Frameset?
Run "/install find-reference-video" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Find Reference Video via Frameset free?
Yes, Find Reference Video via Frameset is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Find Reference Video via Frameset support?
Find Reference Video via Frameset is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Find Reference Video via Frameset?
It is built and maintained by FredHNian (@fredhnian); the current version is v1.0.0.
More Skills