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Agent Skill · 开发

qstar-video-ecom(qstar 视频 ecom)

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。

qstar-video-ecom 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 4,848。

总安装 7,432周安装 316GitHub Stars 公开资料未说明下载 2,604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
1.3.1

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:qstar-video-ecom(qstar 视频 ecom)
来源仓库:https://github.com/hubtiger123/qstar-video-ecom
安装命令:
openclaw skills install qstar-video-ecom
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 qstar-video-ecom

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。

qstar-video-ecom 是中国电商一键 AI 产品视频生成器,支持经典产品视频与单图像动画生成。适合在 OpenClaw 中需要组织镜头或生成视频素材说明时使用。通过 clawhub 安装,命令为 openclaw skills install qstar-video-ecom,具体用法参考来源仓库。

使用时需确认分辨率、时长和导出格式;涉及人物肖像时应先核对版权授权。建议结合原始 SKILL.md 了解渲染流程和素材要求后再使用。

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 qstar-video-ecom;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

qstar-video-ecom 怎么安装?

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

qstar-video-ecom 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。

qstar-video-ecom 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。

qstar-video-ecom 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。

qstar-video-ecom 用的人多吗?

公开数据是累计安装 7,432 次,近一周安装 316 次,下载 2,604 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。

qstar-video-ecom 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
qstar-video-ecom

qstar 视频 ecom · 本页

7,432—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
qstar-video-ecom
version
1.3.1
author
qstar
emoji
🎬
homepage
https://guanma.top
tags
description
>

Qstar Video Ecom

Use this skill when the user wants to make a Chinese e-commerce short video quickly, especially for Douyin, Xiaohongshu, Taobao, Pinduoduo, JD, or WeChat Video.

Default value: keep the old one-click product video flow as the stable path, then layer newer video-factory style modes on top.

What this skill supports

This skill now has 4 modes:

  1. classic

Classic one-click product video. Best when the user says "做个产品视频", "生成电商视频", "帮我出一条带解说的视频".

  1. single-image

Single-image fast start. Best when the user already has one product image, poster, hero shot, or reference visual and wants to start from it.

  1. batch-variants

Batch multiple short-video variants from one product brief. Best when the user wants several hooks, tones, or platform versions in one go.

  1. revise

Natural-language revision mode. Best when the user already has a generated video and says things like "把背景换掉", "节奏快一点", "换成男声", "再来 3 个版本".

If the user does not specify a mode, use classic.

Important boundary

Do not pretend the backend already has magical edit APIs if it does not.

For newer modes:

  • If the current bot.guanma.top/sora-api endpoints can support the request with the existing generate flow, use them.
  • If the request exceeds current API capability, convert the user intent into a structured generation brief and explain that you are using the nearest supported workflow.
  • Prefer a truthful fallback over a fake "done".

Step 0 — Extract USER_ID

Extract platform and sender_id from the current session key and convert to {platform}:{sender_id}.

Examples:

  • agent:main:telegram:direct:5239705501 -> tg:5239705501
  • agent:main:wechat:direct:oh8CU6xxx -> wx:oh8CU6xxx
  • agent:main:wecom:direct:zhangsan -> wecom:zhangsan
  • agent:main:feishu:direct:ou_xxx -> feishu:ou_xxx
  • agent:main:slack:direct:U12345 -> slack:U12345

Always inline the real value into commands. Do not rely on shell variables.

Step 1 — Detect mode

Route by user intent:

  • classic

User wants one finished e-commerce short video and has no advanced request.

  • single-image

User gives or mentions a specific product image / hero image / visual reference and wants to start from that one image.

  • batch-variants

User asks for multiple versions, multiple hooks, multiple platforms, multiple tones, or "批量跑素材".

  • revise

User already has an existing video and wants changes in plain language.

If mixed, prefer: revise > batch-variants > single-image > classic

Step 2 — Check profile

curl -s https://bot.guanma.top/sora-api/user/profile/{USER_ID}

If onboarded: false, run the onboarding flow before generation.

Opening message:

🎬 欢迎使用 AI 电商视频生成!

📌 使用须知:
• 免费版:每天 1 次,仅支持通用商品视频
• 付费版:不限次数,支持上传产品实拍图,生成更贴近真实商品的视频

如果你想做“基于真实产品图”的视频,建议使用付费版。

Ask:

  1. 你主要在哪个平台经营?(淘宝/小红书/抖音/其他)
  2. 你的主营产品类目是?(服装/数码/美妆/食品/其他)
  3. 售后联系方式(选填,可跳过)

Then:

curl -s -X POST https://bot.guanma.top/sora-api/user/onboard \
  -H "Content-Type: application/json" \
  -d '{
    "user_id": "{USER_ID}",
    "main_platform": "{用户回答1}",
    "category": "{用户回答2}",
    "contact": "{用户回答3}"
  }'

Step 3 — Mode-specific intake

Mode A: classic

Follow the stable old flow:

  1. Ask target platform
  2. Ask script style template
  3. Ask product name + 2-3 core selling points
  4. Ask voice choice
  5. Check quota
  6. If paid, allow product image upload
  7. Generate one finished video

Mode B: single-image

Ask for:

  1. Target platform
  2. Product name
  3. One-sentence video goal
  4. 2-3 selling points
  5. Voice choice
  6. One image upload or image URL

Then convert the brief into a structured product field like:

[mode:single-image][platform:douyin] 产品名:{产品名};目标:{视频目标};卖点:{卖点列表};要求:基于已上传图片生成,保留商品核心外观。

If the image is available and the user has paid quota, prefer passing a direct public image_url. Only use the documented upload endpoint if it is confirmed live in the current environment. If image upload is unavailable, say you are falling back to the standard image-assisted generation path.

Mode C: batch-variants

Ask for:

  1. Target platform or platforms
  2. Product name
  3. Core selling points
  4. Number of variants
  5. Preferred dimensions of variation:

- hook - tone - audience - CTA - voice

Then produce a variant plan first, for example:

  • Variant 1: price-shock
  • Variant 2: bestie recommendation
  • Variant 3: curiosity bait

Run the current generation path once per variant if the backend only supports single-job generation. Do not claim server-side batch execution unless it truly exists.

Mode D: revise

Ask for:

  1. Existing video link or generation context
  2. What to change, in plain language
  3. Whether the user wants:

- overwrite-style replacement - one more revised version - several revised versions

Translate the user's request into a structured revision brief:

  • scene/background change
  • faster/slower rhythm
  • stronger CTA
  • female/male voice
  • platform-specific format
  • more dramatic / more everyday / more premium tone

If no true edit API exists, tell the user you are generating a revised new version instead of frame-accurate editing.

Step 4 — Platform choice

Use this mapping:

1 淘宝/天猫 -> taobao
2 拼多多 -> pinduoduo
3 小红书 -> xiaohongshu
4 抖音/TikTok -> douyin
5 京东 -> jingdong
6 视频号 -> shipinhao

Prompt:

请选择视频发布平台:
1️⃣ 淘宝/天猫(16:9,8秒)
2️⃣ 拼多多(16:9,4秒)
3️⃣ 小红书(9:16,8秒)
4️⃣ 抖音/TikTok(9:16,8秒)
5️⃣ 京东(16:9,8秒)
6️⃣ 视频号(9:16,8秒)

Step 5 — Script style template

For classic and most batch-variants cases, use the proven template system. Template details live in TEMPLATES.md.

Prompt:

请选择视频文案风格:
1️⃣ 痛点共鸣型
2️⃣ 价格冲击型
3️⃣ 闺蜜种草型
4️⃣ 专业测评型
5️⃣ 反常识悬念型
6️⃣ 自由描述

Map:

  • 1 -> T1痛点共鸣
  • 2 -> T2价格冲击
  • 3 -> T3闺蜜种草
  • 4 -> T4专业测评
  • 5 -> T5反常识悬念
  • 6 -> free自由描述

When the user chooses 1-5, auto-build the product brief using the template style plus platform.

Step 6 — Voice choice

Prompt:

请选择解说声音:
🎙️ 1. 晓晓(女声·温柔)
🎙️ 2. 云希(男声·稳重)

Map:

  • 1 -> female
  • 2 -> male

Step 7 — Quota and image upload

Check quota:

curl -s https://bot.guanma.top/sora-api/quota/{USER_ID}

If credits > 0, allow image upload:

📸 是否上传产品实拍图?上传后视频会更贴近你的真实商品。
直接发图即可,或回复“跳过”。

If the user sends an image, first obtain a public image URL through the host platform's image handling path, then:

curl -s -X POST "https://bot.guanma.top/sora-api/upload-image?user_id={USER_ID}" \
  -H "Content-Type: application/json" \
  -d '{"image_url": "{用户图片的公网URL}"}'

Read image_url from the response.

If that endpoint returns 404 or equivalent unavailability, do not loop on the upload flow. Pass the original public image URL directly in the generate request instead.

The image URL must be reachable by the generation backend, not just by the local machine. Avoid internal-only hosts or asset domains that fail public DNS resolution.

If free user or skipped upload, keep image_url empty.

Step 8 — Generate

Tell the user generation is running:

正在生成,约需 3 分钟,请稍候...

Then:

curl -s -X POST https://bot.guanma.top/sora-api/generate \
  -H "Content-Type: application/json" \
  -d '{
    "user_id": "{USER_ID}",
    "platform": "{platform_key}",
    "product": "{结构化产品描述}",
    "voice": "{voice_key}",
    "image_url": "{产品图URL或空字符串}"
  }' \
  --max-time 400

Step 9 — Response handling

If success:

  • With uploaded image:

🎬 个性化视频已生成!基于你的产品图定制。

  • Free quota no image:

🎬 视频已生成!今日免费次数已用完,充值后可上传产品图生成更贴近真实商品的视频。

  • Paid quota no image:

🎬 视频已生成!如需更贴近真实商品的版本,可继续上传产品图重新生成。

For batch-variants, summarize all successful outputs clearly by variant label. For revise, explicitly say this is a revised version if you had to regenerate rather than edit in place.

If HTTP 402 or quota exceeded: run the payment flow.

Step 10 — Payment flow

Show:

今日免费次数已用完 😅

升级付费版,解锁:
✅ 不限次数生成
✅ 上传产品实拍图,生成更贴近真实商品的视频

选择套餐:
1️⃣ 5次视频 · ¥39
2️⃣ 10次视频 · ¥69(最划算)
3️⃣ 20次视频 · ¥128

Then ask payment channel:

请选择支付方式:
💚 1. 微信支付
💙 2. 支付宝

Create order:

curl -s -X POST "https://bot.guanma.top/sora-api/pay/create?user_id={USER_ID}&package={套餐价格}&channel={channel}"

Read order_id, amount, qr_url. Send the QR image first, then:

请扫码完成支付 👆
订单号:{order_id}
金额:¥{amount}

支付完成后系统会自动到账,无需截图。

Poll every 10 seconds, up to 18 times:

curl -s https://bot.guanma.top/sora-api/pay/status/{order_id}

If status == "paid":

✅ 支付成功!额度已到账,现在可以继续生成视频了。

Then return to Step 7.

If timeout:

支付还未到账,可稍后发送“继续生成”重试。

Operating rules

  • Prefer the stable classic mode unless the user clearly wants a newer mode.
  • Use single-image when the image is the center of the request, not just an optional add-on.
  • Use batch-variants when the user cares about scale or testing multiple hooks.
  • Use revise when the user wants changes to an existing output.
  • Be explicit when a "revision" is actually a new regenerated version.
  • Never hide quota/payment boundaries.

Data and privacy

This skill is provided by Q-star via https://guanma.top.

  • Transmitted data:

- product description text - optional public product image URL - platform-linked user ID - optional contact info

  • Transport:

- HTTPS API calls to bot.guanma.top

  • Storage:

- generated videos are stored in Qiniu for delivery

  • This skill does not read local files directly
  • This skill does not access system credentials
  • Payment QR codes are generated by the payment provider bound to Q-star services

平台分布

OpenClaw

79.8%
按下载量换算2,078

安全审计

VirusTotal

未展示

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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