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视频运镜分析工具
by
winme99998
· GitHub ↗
· v1.0.0
· MIT-0
128
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install toolfolio
Description
分析视频镜头切分与运镜方式,生成每个镜头的英文AI提示词及详细运动数据,支持多格式视频文件。
Usage Guidance
This skill appears to be a local video analysis tool: it processes videos with OpenCV, generates JSON and base64 thumbnails, and does not request credentials or network access in the provided code. Before installing, consider: (1) installing opencv-python-headless may pull native binaries and increase disk use; (2) processing large videos is CPU- and disk-intensive — run in an environment with sufficient resources; (3) if you received this skill from an untrusted source, review the full script (the repository includes the complete analyze_shots.py) to confirm there are no hidden network calls in portions not visible to you; (4) run in a sandbox or isolated environment if you are concerned about running third‑party code.
Capability Analysis
Type: OpenClaw Skill
Name: toolfolio
Version: 1.0.0
The 'toolfolio' skill bundle is a legitimate video analysis tool designed to detect camera movements (e.g., pan, tilt, zoom) and generate AI video prompts. The core logic in 'scripts/analyze_shots.py' uses standard computer vision techniques via OpenCV, such as histogram comparison for scene detection and Lucas-Kanade optical flow for motion estimation. There is no evidence of data exfiltration, malicious execution, or suspicious network activity; the script processes local video files and saves results to a local output directory as intended.
Capability Assessment
Purpose & Capability
Name/description match the included Python script and SKILL.md: the code detects scene cuts, analyzes camera motion (optical flow), produces per-shot movement labels and English prompts, and writes JSON/thumbnail outputs. No unrelated credentials, binaries, or services are requested.
Instruction Scope
Runtime instructions only ask to install common Python packages and run scripts/analyze_shots.py on a local video path. The script reads the provided video, performs frame analysis, and writes results to output/<video>/analysis.json and thumbnails. It does not read other system files, environment variables, or remote endpoints in the visible code.
Install Mechanism
There is no package install spec embedded in the skill bundle; SKILL.md recommends pip installing opencv-python-headless, numpy, pillow — a normal, expected dependency set for local video processing. No downloads from arbitrary URLs or extract steps are present.
Credentials
The skill requests no environment variables, credentials, or config paths. The declared requirements align with its purpose (local video analysis).
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent/system-wide privileges or modify other skills. It runs as an on-demand local script.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install toolfolio - After installation, invoke the skill by name or use
/toolfolio - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
初始版本:视频镜头切分、运镜识别、AI提示词生成
Metadata
Frequently Asked Questions
What is 视频运镜分析工具?
分析视频镜头切分与运镜方式,生成每个镜头的英文AI提示词及详细运动数据,支持多格式视频文件。 It is an AI Agent Skill for Claude Code / OpenClaw, with 128 downloads so far.
How do I install 视频运镜分析工具?
Run "/install toolfolio" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 视频运镜分析工具 free?
Yes, 视频运镜分析工具 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 视频运镜分析工具 support?
视频运镜分析工具 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 视频运镜分析工具?
It is built and maintained by winme99998 (@winme99998); the current version is v1.0.0.
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