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Agent Skill · 开发

seedance-alternative-free(免费种子替代品)

seedance-alternative-free 用于辅助视频、动画、脚本化剪辑和多媒体生成流程,适合在 OpenClaw 中需要整理视频素材、生成脚本或维护合成项目时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

seedance-alternative-free 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 8,838。

总安装 2,980周安装 128GitHub Stars 公开资料未说明下载 1,044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
1.0.0

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:seedance-alternative-free(免费种子替代品)
来源仓库:https://github.com/tk8544-b/seedance-alternative-free
安装命令:
openclaw skills install seedance-alternative-free
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 seedance-alternative-free

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。

提供免费替代方案用于 AI 驱动的视频生成。支持基于文本创意或原始素材生成视频内容。seedance-alternative-free 属于开发类 Skill,可作为该场景下的辅助能力补充。使用时需明确视频用途与分发渠道以避免侵权。建议优先选择无版权争议的主题与角色设定。降低商业化视频制作的入门门槛与成本支出。

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 seedance-alternative-free;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

seedance-alternative-free 怎么安装?

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

seedance-alternative-free 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。

seedance-alternative-free 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。

seedance-alternative-free 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。

seedance-alternative-free 用的人多吗?

公开数据是累计安装 2,980 次,近一周安装 128 次,下载 1,044 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。

seedance-alternative-free 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
seedance-alternative-free

免费种子替代品 · 本页

2,980—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
seedance-alternative-free
version
1.0.0
displayName
Seedance Alternative Free — AI Video Generation Without the Price Tag
description
>
metadata
{"openclaw": {"emoji": "🎬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "greeting_v2"}}

Getting Started

Send me a text prompt, image, or video clip and I'll generate or transform it into polished video content for you. No media? Just describe the scene you have in mind.

Try saying:

  • "I have a product photo of a coffee mug — animate it with steam rising and soft morning light, make it feel like a 5-second Instagram reel"
  • "Generate a 10-second video clip of a sunset over a city skyline with cinematic color grading and slow camera movement, no text overlays"
  • "I have a 30-second raw talking-head clip — recut it to feel more dynamic, add smooth transitions between sentences, and suggest a pacing style that works for LinkedIn"

Automatic Setup

On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".

Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.

Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: <uuid>. The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).

Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.

Confirm to the user you're connected and ready. Don't print tokens or raw JSON.

Free AI Video Generation That Actually Delivers

Most AI video tools lock their best features behind expensive plans. This skill exists as a genuine seedance-alternative-free option — giving you access to text-to-video generation, image animation, and footage transformation without spending a cent.

You can describe a scene in plain language and watch it become a short video clip. You can upload a still image and bring it to life with motion. You can take raw footage and apply stylistic filters, pacing changes, or narrative restructuring — all through simple conversational prompts.

This is built specifically for independent creators, small business owners, social media managers, and educators who need compelling video content regularly but can't justify the cost of premium platforms. Instead of learning complex software or navigating subscription tiers, you describe what you want and get results. The workflow is intentionally simple: input your idea or media, describe your goal, and receive a video output ready for sharing or further editing.

Routing Your Video Generation Requests

When you submit a prompt, ClawHub parses your text-to-video or image-to-video intent and routes it to the optimal free-tier inference node based on current queue depth and model availability.

User says...ActionSkip SSE?
"export" / "导出" / "download" / "send me the video"→ §3.5 Export✅
"credits" / "积分" / "balance" / "余额"→ §3.3 Credits✅
"status" / "状态" / "show tracks"→ §3.4 State✅
"upload" / "上传" / user sends file→ §3.2 Upload✅
Everything else (generate, edit, add BGM…)→ §3.1 SSE❌

Cloud Processing Backend Reference

The Seedance Alternative Free backend runs on distributed GPU clusters that handle diffusion-based video synthesis, automatically scaling frame interpolation and motion consistency passes without consuming your local compute. Latency varies by resolution tier — 480p jobs typically resolve faster than 720p upscaled outputs during peak generation windows.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: seedance-alternative-free
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

SSE Event Handling

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou do
"click [button]" / "点击"Execute via API
"open [panel]" / "打开"Query session state
"drag/drop" / "拖拽"Send edit via SSE
"preview in timeline"Show track summary
"Export button" / "导出"Execute export workflow

Draft field mapping: t=tracks, tt=track type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Integration Guide

Getting started with this seedance-alternative-free skill requires no account setup, no API keys, and no software installation. Simply open the skill inside ClawHub and begin by either typing a descriptive prompt or uploading your source media directly in the chat.

For text-to-video workflows, write your scene description with as much detail as you can — include mood, motion style, duration, and intended platform (vertical for TikTok/Reels, horizontal for YouTube). The more specific your prompt, the closer the output matches your vision.

For image-to-video or footage transformation tasks, attach your file and describe the transformation goal. Supported input types include static images (JPG, PNG), short video clips (MP4, MOV), and plain text descriptions. Outputs are delivered as downloadable video files ready for direct upload to any platform — no additional conversion needed.

Use Cases

This seedance-alternative-free skill covers a wide range of practical video creation scenarios that professionals and hobbyists encounter daily.

E-commerce sellers use it to animate product photos into attention-grabbing social ads without hiring a video team. A single still image of a sneaker can become a rotating, light-catching 6-second clip ready for Instagram Stories.

Content creators on tight budgets use it to generate B-roll footage from text descriptions when their own footage falls short — filling gaps in vlogs, explainer videos, or course content without stock footage subscriptions.

Educators and trainers use it to convert slide-based lessons into short animated video segments, making dry material more engaging for remote learners. Small business owners use it to produce promotional clips for seasonal campaigns in minutes rather than days.

Best Practices

To get the most out of this seedance-alternative-free skill, treat your prompt like a director's brief. Vague inputs produce generic outputs — specific inputs produce usable ones. Always include the target platform, desired duration, mood or tone, and any motion preferences (slow zoom, parallax, handheld feel, etc.).

When animating images, choose source photos with clear subjects and clean backgrounds. Cluttered images with many competing elements produce less predictable motion results. Portrait-oriented images work best for Reels and TikTok outputs; landscape images suit YouTube and LinkedIn.

For transformation tasks on existing footage, trim your clip to only the essential portion before submitting. Shorter inputs process more accurately and give you tighter control over the output style. If a first result isn't quite right, refine your prompt with one or two specific adjustments rather than rewriting it entirely — iterating in small steps consistently produces better final results.

平台分布

OpenClaw

85.1%
按下载量换算888

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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