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fackee

analyze video by qwen

by www · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install analyze-video-by-qwen
Description
使用 Qwen 3.5 Plus 模型分析视频内容,支持本地文件和远程 URL,可自定义分析提示词和抽帧频率
README (SKILL.md)

Analyze Video with Qwen

Overview

使用阿里云 Qwen 3.5 Plus 多模态模型对视频进行智能分析。支持本地视频文件和远程 URL,可自定义分析问题和视频抽帧频率(FPS)。

何时使用

  • 需要理解视频内容、场景描述
  • 需要视频中的动作识别、物体检测
  • 需要生成视频摘要或分析报告
  • 需要分析远程在线视频

快速用法

分析本地视频

默认设置分析视频:

python scripts/analyze.py /path/to/video.mp4

自定义提示词:

python scripts/analyze.py /path/to/video.mp4 --prompt "请详细描述视频中的每个场景"

自定义抽帧频率(FPS越高,分析越精细):

python scripts/analyze.py /path/to/video.mp4 --fps 5

分析远程视频 URL

直接分析远程视频:

python scripts/analyze.py https://example.com/video.mp4

组合使用:

python scripts/analyze.py /path/to/video.mp4 --fps 3 --prompt "视频中出现了哪些人物和物体?"
python scripts/analyze.py https://example.com/video.mp4 --fps 4 --prompt "请详细描述视频场景"

参数说明

参数 说明 默认值 必填
video_source 视频文件路径或远程 URL(支持 http/https) -
--fps 抽帧频率,每秒抽取的帧数 2
--prompt 分析提示词 "这段视频描绘的是什么景象?"

配置

API Key 从 ~/.openclaw/openclaw.jsonskills.dashscope.apiKey 字段读取。

如未配置,请添加以下内容:

{
  "skills": {
    "dashscope": {
      "apiKey": "your-dashscope-api-key"
    }
  }
}

备注

  • 本地视频路径可以是绝对路径或相对路径
  • 远程视频 URL 必须是可公开访问的直链
  • FPS 越高,API 调用成本越高,建议根据视频长度和需求调整
Usage Guidance
This skill appears to do what it says: it calls the DashScope/Qwen multimodal API to analyze videos. Before installing or running: 1) Know that local videos will be uploaded to the external DashScope service — do not use it on sensitive/personal videos unless you trust that service and account. 2) Verify the dashscope Python package (source/maintainer) and confirm you will install it in a controlled environment. 3) Provide an API key in ~/.openclaw/openclaw.json as described (the script will exit if missing). 4) Note small metadata/version mismatches in bundled files (non-security-critical). If you need a privacy-preserving local-only analysis, this skill is not suitable because it uses a remote model/service.
Capability Analysis
Type: OpenClaw Skill Name: analyze-video-by-qwen Version: 1.0.1 The skill is a legitimate tool for analyzing video content using the Alibaba Qwen 3.5 Plus model via the official 'dashscope' library. It correctly handles local file paths and remote URLs, and it retrieves API credentials from the standard OpenClaw configuration file (~/.openclaw/openclaw.json) as documented in SKILL.md. No evidence of malicious intent, data exfiltration, or prompt injection was found in scripts/analyze.py or the documentation.
Capability Assessment
Purpose & Capability
Name/description state 'analyze video with Qwen'; the included script (scripts/analyze.py) and requirements (dashscope) implement that behavior by calling a DashScope MultiModalConversation with a qwen3.5-plus model. The script reads an API key from ~/.openclaw/openclaw.json as documented. Minor metadata mismatches (/_meta.json owner/version vs registry metadata) are present but do not affect capability coherence.
Instruction Scope
SKILL.md and the script only instruct running the bundled Python script against a local path or remote URL and to store the DashScope API key in ~/.openclaw/openclaw.json. Important privacy note: for local files the script constructs a file:// URL and relies on the DashScope client to access/upload the file — local video content will be transmitted to the remote DashScope service for analysis, which the SKILL.md does not explicitly warn about.
Install Mechanism
No install spec is provided (instruction-only with a code file). A requirements.txt lists 'dashscope' so the user must install that Python package; there is no arbitrary download or archive extraction. This is proportionate for a Python-based API client.
Credentials
The skill does not request environment variables or unrelated credentials. It reads a single API key from ~/.openclaw/openclaw.json (skills.dashscope.apiKey), which matches the need to call the DashScope API. No other files or secrets are accessed.
Persistence & Privilege
always is false, the skill is user-invocable and not requesting persistent/always-on privileges. The included .claude/settings.local.json grants permission to run python/bash which aligns with the script-based usage; the skill does not modify other skills or request system-wide configuration changes.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install analyze-video-by-qwen
  3. After installation, invoke the skill by name or use /analyze-video-by-qwen
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Added support for analyzing remote video URLs in addition to local files - Updated documentation to reflect support for both local file paths and remote URLs - Clarified parameter descriptions and usage examples for enhanced usability - No code changes; added a local settings sample file
v1.0.0
Initial release of video analysis using Qwen 3.5 Plus: - Analyze local videos with customizable prompts and frame extraction rate (FPS). - Supports scene understanding, action recognition, object detection, and summarization tasks. - Easy command-line usage with clear parameter options. - Reads DashScope API Key from a user config file.
Metadata
Slug analyze-video-by-qwen
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is analyze video by qwen?

使用 Qwen 3.5 Plus 模型分析视频内容,支持本地文件和远程 URL,可自定义分析提示词和抽帧频率. It is an AI Agent Skill for Claude Code / OpenClaw, with 340 downloads so far.

How do I install analyze video by qwen?

Run "/install analyze-video-by-qwen" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is analyze video by qwen free?

Yes, analyze video by qwen is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does analyze video by qwen support?

analyze video by qwen is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created analyze video by qwen?

It is built and maintained by www (@fackee); the current version is v1.0.1.

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