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Agent Skill · 开发

send-video-message(发送视频消息)

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

send-video-message 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 5,972。

总安装 5,328周安装 222GitHub Stars 公开资料未说明下载 1,776核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.2

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:send-video-message(发送视频消息)
来源仓库:https://github.com/yining1023/send-video-message
安装命令:
openclaw skills install send-video-message
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install send-video-message

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

生成 AI 头像视频消息并发送给用户。可用于异步解释、进度更新或个性化视频沟通。输入文本内容自动生成口播视频片段。send-video-message 属于开发类 Skill,可作为该场景下的辅助能力补充。依赖 Runway Character API,需有效订阅权限。涉及人物肖像生成,商用前请确认版权合规性。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install send-video-message;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

send-video-message 怎么安装?

在终端执行 openclaw skills install send-video-message。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

send-video-message 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

send-video-message 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

send-video-message 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

send-video-message 用的人多吗?

公开数据是累计安装 5,328 次,近一周安装 222 次,下载 1,776 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

send-video-message 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
send-video-message

发送视频消息 · 本页

5,328—接触敏感数据MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
send-video-message
description
Send the user a video message with an AI avatar that speaks any text, using Runway Character API. For async updates, explanations, or anything better said than typed.
user-invocable
true
metadata
{"openclaw":{"emoji":"🎬","requires":{"env":["RUNWAY_API_SECRET"],"bins":["uv"]},"install":[{"id":"uv-brew","kind":"brew","formula":"uv","bins":["uv"],"label":"Install uv (brew)"}],"primaryEnv":"RUNWAY_API_SECRET","source":"https://docs.dev.runwayml.com","repository":"https://github.com/runwayml/openclaw-skill-send-video-message"}}

Send Video Message

Send the user a video message where an AI avatar speaks your words — lip-synced with natural motion. Use this for async updates, code review walkthroughs, incident summaries, or anything that's better explained with a face than a wall of text.

Privacy & Data Handling

  • Runway API: Only data you explicitly pass (spoken text, avatar image) is sent to Runway (dev.runwayml.com). Nothing is uploaded automatically. Custom avatars can be deleted anytime via DELETE /v1/avatars/{id}.
  • Output: Generated videos are saved to /tmp and sent via MEDIA: for OpenClaw to auto-attach.

Setup

Get a Runway API Key

  1. Go to dev.runwayml.com
  2. Create an account and get an API key
  3. Set it: export RUNWAY_API_SECRET=your_key

One-Time Setup: Create Your Avatar

Before generating videos, create a custom avatar (face image + Runway). You only need to do this once — the avatar ID is saved and reused for all future videos.

The voice is chosen later in generate_video.py, not at avatar creation.

Which face to use — follow this order

  1. Default (no user preference): Use Openclaw Lobster 2 as referenceImage via setup_avatar.py --image-url (URL below). Do not use Runway’s built-in preset avatars (game-character, cat-character, etc.) as the first choice — those are only for the fallback in step 3.
  2. User asked for a look: Pick another image from the list below, use an image URL they gave you, or run setup_avatar.py --description "..." to generate a face from text (slower; uses Runway text-to-image).
  3. Fallback — urgent or you’re out of time: Skip setup_avatar and call generate_video.py with --preset-id "game-character" (or another Runway preset ID from the fallback list below). Faster, less distinctive than Lobster / list images.

Check first: If ~/.openclaw/runway-avatar.json already has an avatar_id (or you know one from a prior run), reuse it and skip to Generate a Video Message.

Step 1: Pick a face image (for custom avatar)

Use Openclaw Lobster 2 unless the user wants something else from this list (or their own URL):

  • Openclaw Lobster 2 (default): https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/openclaw-lobster2.jpg
  • Openclaw Lobster 1: https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/openclaw-lobster1.jpg
  • Cat: https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/cat.png
  • Alien man, candy texture: https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/alien-man-candy-texture.jpg
  • Alien woman, candy texture: https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/alien-woman-candy-texture.jpg
  • Old man, long beard, game style: https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/old-man-long-beard-game-style.png
  • Blond guy, blue sweater: https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/blond-guy-blue-sweater.png
  • Man, 3D animation: https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/man-3d-animation-style.png
  • Girl in airport, 3D: https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/3d-animated-girl-in-airport.png
  • White furry monster: https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/white-furry-monster.png
  • Superstar young woman: https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/woman-music-superstar.png

Generate from text (when the user asks for a custom look and no URL fits) — setup_avatar.py --description "...". The image should be a character facing the camera directly, head and shoulders, centered. Be bold and creative:

  • Warm / friendly → soft 3D animation, Pixar-style, watercolor
  • Sharp / professional → clean illustration, stylized portrait, low-poly
  • Chaotic / playful → candy texture, claymation, puppet, pop art
  • Cute / wholesome → chibi, plush toy, animal character, kawaii

Step 2: Create the avatar

Default — Openclaw Lobster 2:

uv run {baseDir}/scripts/setup_avatar.py \
  --name "Mochi" \
  --image-url "https://runway-static-assets.s3.us-east-1.amazonaws.com/calliope-demo/agent-avatars-presets/openclaw-lobster2.jpg"

Another character from the list above — same command as Lobster 2, only change --image-url to that preset’s URL.

Text description (generates the image) — when the user wants a custom generated look:

uv run {baseDir}/scripts/setup_avatar.py \
  --name "Mochi" \
  --description "A cute fluffy white cartoon creature with large expressive eyes, looking directly at the viewer, 3D animation style, head and shoulders, neutral background"

With your own image URL:

uv run {baseDir}/scripts/setup_avatar.py \
  --name "Mochi" \
  --image-url "https://example.com/avatar.jpg"

The setup script prints the avatar ID and saves it to ~/.openclaw/runway-avatar.json. Future generate_video.py calls use it automatically. Save the avatar ID — reuse it for all videos. Do NOT create a new avatar each time.

Generate a Video Message

Write what you want to say, pick a voice that matches your avatar image, and the avatar will speak it with lip-synced animation. Always pass --voice — choose one that fits the character's appearance (e.g. a female avatar should use a female voice, an authoritative-looking character should use a deeper voice).

uv run {baseDir}/scripts/generate_video.py \
  --text "Hey Alex — quick update on the deploy. Everything went through, all tests passing. The memory fix from your PR cut p99 latency by 40 percent. Nice work." \
  --voice "Maya"

Do not pass --preset-id when a custom avatar is already saved or you pass --avatar-id — that is the normal path after Lobster 2 / list / text setup.

Cropping for mobile & Telegram

Runway’s avatar video is wide (16:9). On phones that can look squished or awkward. Crop it to match the target app:

TargetFlagResolutionRatio
Telegram--square1080×10801:1
Other mobile (WhatsApp, iMessage, etc.)--vertical1080×19209:16

Both flags scale the frame up to cover the target area, then center-crop. They are mutually exclusive — pick one. Env vars work too: SEND_VIDEO_MESSAGE_SQUARE=1 or SEND_VIDEO_MESSAGE_VERTICAL=1.

Requires ffmpeg on the machine that runs the script (brew install ffmpeg on macOS).

Telegram (square):

uv run {baseDir}/scripts/generate_video.py \
  --text "Quick update — deploy is green, all tests passed." \
  --voice "Maya" \
  --square

WhatsApp / iMessage / other mobile (vertical):

uv run {baseDir}/scripts/generate_video.py \
  --text "Quick update — deploy is green, all tests passed." \
  --voice "Maya" \
  --vertical

Available TTS voices

Pass --voice <name> to generate_video.py (default: Maya):

IDGenderStylePitch
MayaWomanUpbeatHigher
ArjunManClearMiddle
SereneWomanCalmMiddle
BernardManAuthoritativeLower
BillyManCasualMiddle
MarkManNeutralMiddle
ClintManGravellyLower
MabelWomanWarmMiddle
ChadManEnergeticMiddle
LeslieWomanFriendlyMiddle
EleanorWomanMatureMiddle
EliasManSmoothLower-middle
ElliotManEvenMiddle
NoahManRelaxedLower-middle
RachelWomanClearMiddle
JamesManFirmLower
KatieWomanBrightHigher
TomManCasualMiddle
WandaWomanWarmMiddle
BenjaminManProfessionalLower-middle

With a specific avatar ID (overrides saved default; still no --preset-id):

uv run {baseDir}/scripts/generate_video.py --text "Morning standup recap..." --avatar-id "550e8400-e29b-41d4-a716-446655440000" --voice "Maya"

Fallback — Runway preset avatar (only if no time)

Use only when you cannot run setup_avatar (deadline, user waiting, etc.). Prefer game-character as the preset. No Lobster / list image — Runway’s generic character.

uv run {baseDir}/scripts/generate_video.py \
  --text "Quick heads up about the deploy." \
  --preset-id "game-character" \
  --voice "Maya" \
  --vertical

Other preset IDs if needed: game-character-man, music-superstar, cat-character, influencer, tennis-coach, human-resource, fashion-designer, cooking-teacher

Script output

The script outputs:

  1. Progress updates as it generates speech and video
  2. Video saved: /tmp/runway-avatar-YYYY-MM-DD-HH-MM-SS.mp4
  3. MEDIA: /tmp/runway-avatar-...mp4 — OpenClaw auto-attaches this to the user's chat

Do not read the video file back — just report the path and let OpenClaw handle delivery.

When to Use Video Messages

Use video messages for async communication that benefits from a face:

  • Deploy updates: "Your deploy went through, here's what changed"
  • Code review feedback: Walk through a PR with visual explanation
  • Incident summaries: Recap what happened and what was fixed
  • Progress updates: End-of-day or weekly recap
  • Onboarding: Explain a codebase concept or architecture decision
  • Celebrations: "Your PR just hit 1000 users — nice work!"

Use a video call (not a video message) for things that need real-time back-and-forth.

Complete Example: Deploy Notification

  1. Agent detects a successful deploy
  2. If no saved avatar: runs setup_avatar.py with Openclaw Lobster 2 --image-url (one-time)
  3. Agent composes what to say: "Hey Alex — deploy went through. 3 PRs merged: the auth refactor, the cart fix, and your memory optimization. All tests green. P99 latency dropped 40 percent after your fix. Nice work."
  4. Generates the video with the saved custom avatar (no --preset-id). Add --square for Telegram or --vertical for other mobile:
   uv run {baseDir}/scripts/generate_video.py --text "Hey Alex — deploy went through..." --voice "Maya" --square

- If you skipped avatar setup (out of time): use --preset-id "game-character" instead (no custom avatar).

  1. Sends the video to the user with a text summary:

> Your deploy just went through. Here's a quick video recap: > [attached video]

Notes

  • Avatar priority: Custom avatar (Lobster 2 by default → list / user URL → text-generated) first; Runway game-character preset only as a time-saving fallback.
  • Video generation takes 10-60 seconds depending on text length.
  • Maximum text length is ~300 seconds of speech (~5 minutes).
  • The MEDIA: output line tells OpenClaw to auto-attach the video file.
  • Videos are saved to /tmp — they persist until the system clears temp files.
  • --square and --vertical need ffmpeg; without it, omit both and send the wide Runway file as-is.

适合场景

01

文本生成图片

02

图片风格化

03

产品图和创意图

04

需要 FLUX 模型时

能力概览

能力 1

调用 FLUX 图像模型

能力 2

支持文本生图和图像改写

能力 3

覆盖 LoRA 或风格适配

能力 4

适合创意视觉生成

平台分布

OpenClaw

77.07%
按下载量换算1,369

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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