← 返回 Skills 市场
视频运镜分析工具
作者
winme99998
· GitHub ↗
· v1.0.0
· MIT-0
128
总下载
0
收藏
1
当前安装
1
版本数
在 OpenClaw 中安装
/install toolfolio
功能描述
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。
安全使用建议
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.
功能分析
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.
能力评估
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.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install toolfolio - 安装完成后,直接呼叫该 Skill 的名称或使用
/toolfolio触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
初始版本:视频镜头切分、运镜识别、AI提示词生成
元数据
常见问题
视频运镜分析工具 是什么?
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。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 128 次。
如何安装 视频运镜分析工具?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install toolfolio」即可一键安装,无需额外配置。
视频运镜分析工具 是免费的吗?
是的,视频运镜分析工具 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
视频运镜分析工具 支持哪些平台?
视频运镜分析工具 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 视频运镜分析工具?
由 winme99998(@winme99998)开发并维护,当前版本 v1.0.0。
推荐 Skills