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在 OpenClaw 中安装
/install video-motion-detector
功能描述
视频动作检测与分析。用于检测视频中的特定动作序列，如武术动作、舞蹈动作、人体姿态变化等。当用户要求检测视频中的动作、分析动作是否完成、验证特定动作序列时触发此技能。支持输入视频URL或本地视频文件，检测完成后通过飞书通知结果。
安全使用建议
Before installing: ask the publisher to clarify how 'read' and 'message' tools are provided and where model inference runs (locally or remote). Confirm which binaries are required (yt-dlp/you-get/ffmpeg) and whether the platform will supply them. Ask how Feishu credentials or webhook URLs are configured and stored — the SKILL.md shows a Feishu target but the skill metadata doesn't request any token/webhook. Be cautious about downloading videos that require login or contain sensitive content; if you must run this, avoid supplying broad system credentials and prefer sandboxed execution. If the publisher cannot explain the missing env/binary declarations and the notification/auth flow, treat the skill as risky and avoid installing it.
功能分析
Type: OpenClaw Skill
Name: video-motion-detector
Version: 1.0.1
The skill bundle provides instructions for an AI agent to perform video motion analysis by downloading videos (using yt-dlp/you-get), extracting frames (using ffmpeg), and analyzing them with vision models. The workflow concludes by sending results via a messaging tool (Feishu). All described actions and commands in SKILL.md are directly aligned with the stated purpose, and there is no evidence of malicious intent, unauthorized data access, or obfuscation.
能力评估
Purpose & Capability
The SKILL.md describes downloading videos (you-get, yt-dlp), frame extraction (ffmpeg), visual model inference, and sending Feishu notifications. Those capabilities align with a video-motion-detector, but the registry metadata declares no required binaries or credentials—so the skill's declared requirements do not match what the instructions actually need.
Instruction Scope
Instructions explicitly tell the agent to download arbitrary video URLs, extract frames, run visual-model analysis, and send results to Feishu using a 'message' tool. The doc references 'read' and 'message' tools and platform login needs but does not define them or specify how credentials/cookies are obtained or stored. That leaves ambiguity about where video data and frames are processed and where results are sent.
Install Mechanism
This is an instruction-only skill with no install spec or code files, which minimizes direct disk or executable installation risk. However, it does assume existence of third‑party binaries (yt-dlp/you-get/ffmpeg) that the metadata does not declare.
Credentials
No environment variables or credentials are declared, yet the skill workflow requires sending Feishu messages (which normally needs a webhook/token/user ID) and may require login cookies or credentials for some video platforms. The absence of declared secrets/credentials is an unexplained mismatch.
Persistence & Privilege
The skill is not always-on and has no install-time persistence or claims to modify other skills or system-wide settings. Autonomous invocation is allowed by default but not combined with elevated permanence here.
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 video-motion-detector - 安装完成后，直接呼叫该 Skill 的名称或使用
/video-motion-detector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
v1.0.1
Initial release of video-motion-detector.
- Detects specific motion sequences in videos, such as martial arts moves, dance, or posture changes.
- Supports input via video URL or local video files.
- Provides detailed steps for video download, frame extraction, and motion analysis.
- Allows detection of motion order, simultaneity, and repetition per user request.
- Sends structured detection results via Feishu notifications.
v1.0.0
Initial release of video-motion-detector.
- Detects and analyzes specific motion sequences in videos (e.g., martial arts, dance moves, posture changes).
- Supports video input via URL or local file, with platform-specific download instructions.
- Provides detailed frame extraction and analysis guidelines to ensure accurate detection of rapid or complex movements.
- Supports ordered, simultaneous, and count-based action sequence verification.
- Sends results and structured detection summaries to Feishu (Lark) users upon completion.
元数据
常见问题
Na He 是什么？
视频动作检测与分析。用于检测视频中的特定动作序列，如武术动作、舞蹈动作、人体姿态变化等。当用户要求检测视频中的动作、分析动作是否完成、验证特定动作序列时触发此技能。支持输入视频URL或本地视频文件，检测完成后通过飞书通知结果。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 324 次。
如何安装 Na He？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install video-motion-detector」即可一键安装，无需额外配置。
Na He 是免费的吗？
是的，Na He 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Na He 支持哪些平台？
Na He 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 Na He？
由 hena1985（@hena1985）开发并维护，当前版本 v1.0.1。
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