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seedance-cliseedance CLI 命令行

Agent Skill

seedance-cli 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。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。

总安装

3,740

周安装

159

GitHub Stars

2

下载量

1,310
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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-cli(seedance CLI 命令行)
来源仓库:https://github.com/l1angjy/seedance-cli
安装命令:
openclaw skills install seedance-cli
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-cli

简介

当代理需要通过 dreamina CLI 生成 Dreamina(即梦)图像或视频时使用。

SKILL.md

name
dreamina-cli
description
Use when an agent needs Dreamina(即梦) image or video generation through the dreamina CLI.

Dreamina CLI

Use this skill when you need Dreamina(即梦) image or video generation through dreamina.

Requirements

1. 高级会员 此 CLI 工具仅限即梦高级会员使用。

2. 安装方式(官方)

curl -fsSL https://jimeng.jianying.com/cli | bash

安装完成后,运行 dreamina -h 查看所有功能,并执行 dreamina login 完成登录授权。

即梦 is the Chinese product name of Dreamina. If the user says 即梦, treat it as Dreamina and use this skill.

This skill is intentionally short. Detailed flags and supported values belong to the CLI itself, so always treat dreamina -h and dreamina <subcommand> -h as the primary reference.

What this tool is for

dreamina is the local CLI entrypoint for all currently exposed Dreamina(即梦) image and video generation workflows, plus the account/session operations around them.

Use it for:

  • checking or reusing an existing Dreamina login session
  • checking account credit
  • submitting image generation tasks
  • submitting video generation tasks
  • querying async task results
  • reviewing saved task history

Default workflow

When using this CLI as an agent:

  1. Start with dreamina -h.
  2. Before using any command for real, run dreamina <subcommand> -h.
  3. Reuse the current login state unless the user explicitly asks you to login, relogin, or logout.
  4. Be explicit about whether you are only reading help, submitting a real task, or querying an existing task.
  5. Warn the user before running commands that may consume credits.

Choosing the right command

At a high level:

  • Use user_credit to check budget.
  • Use query_result when you already have a submit_id.
  • Use list_task to review recent saved tasks.
  • Use image commands when the input or output is image-first.
  • Use video commands when the output is a video.
  • Use image2video when one main image is enough; if the user has multiple images for a coherent story, prefer multiframe2video.
  • Use multiframe2video for Dreamina's intelligent multi-frame flow: multiple images in, one coherent story video out.
  • Use multimodal2video for Dreamina's flagship video mode when the task needs all-around references across images, video, and audio; it supports the seedance2.0 family.

For the exact flags and supported combinations, rely on each subcommand's -h.

Model selection rule

Do not hardcode model support from this skill.

If the user specifies a model, always check the relevant subcommand help before running it:

dreamina <subcommand> -h

Use the subcommand help to confirm:

  • whether that command exposes model selection
  • whether the requested model is supported on that command
  • what other constraints apply to that model, such as duration, ratio, or resolution

Additional guidance:

  • some commands do not expose model selection at all
  • some models, especially the seedance2.0 family, can be capacity-constrained
  • if the user cares more about speed than maximum quality, do not default to seedance2.0 unless they explicitly ask for it

How to judge submit success

Do not rely on shell exit code alone.

For async generation commands, treat a submit as successful only when:

  • submit_id is present
  • gen_status is querying or success

If gen_status is fail, inspect fail_reason and tell the user the concrete reason.

Follow-up pattern for async tasks

After a submit returns querying:

  1. Save the submit_id.
  2. Use query_result --submit_id=<id> for follow-up.
  3. Use list_task when you want to review saved tasks in bulk.

If you are running a test sweep, keep results in a machine-readable format so you can query the returned submit_id values later.

Important user-facing rules

  • Some generation commands are asynchronous; submit and query are separate steps.
  • Some models may require a one-time authorization on Dreamina Web.

If the CLI returns AigcComplianceConfirmationRequired, tell the user to complete that web-side confirmation first, then retry.

  • Do not assume that different commands support the same models, ratios, durations, or resolutions.

Check each subcommand's -h before use.

Good agent behavior

  • Prefer small, reviewable batches when running real generation tasks.
  • Keep a record of the command, arguments, submit_id, and final status for every paid test you run.
  • When the user cares about generation speed, do not default to the seedance2.0 family unless they explicitly ask for it or clearly prioritize output quality.
  • If you are preparing a report, separate:

- help-only inspection - submit-stage validation - later async result follow-up

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

98.32%
按下载量换算1,288

安全审计

VirusTotal

可疑

ClawScan

通过

Static analysis

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install seedance-cli 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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