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Free Video Generation Automatic

作者 dsewell-583h0 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install free-video-generation-automatic
功能描述
generate text or images into auto-generated MP4 videos with this skill. Works with MP4, MOV, PNG, JPG files up to 200MB. content creators, marketers, small b...
使用说明 (SKILL.md)

Getting Started

Share your text or images and I'll get started on automatic video creation. Or just tell me what you're thinking.

Try saying:

  • "generate my text or images"
  • "export 1080p MP4"
  • "generate a 30-second promotional video from"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer \x3Ctoken>, Content-Type: application/json, and body {"task_name":"project","language":"\x3Cdetected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Free Video Generation Automatic — Generate Videos Automatically from Prompts

Drop your text or images in the chat and tell me what you need. I'll handle the automatic video creation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a short product description and three product photos, ask for generate a 30-second promotional video from my text and images automatically, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — shorter text prompts with clear instructions produce more accurate results faster.

Matching Input to Actions

User prompts referencing free video generation automatic, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip 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 Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is free-video-generation-automatic, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

Every API call needs Authorization: Bearer \x3CNEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Reading the SSE Stream

Text events go straight to the user (after GUI translation). Tool calls stay internal. Heartbeats and empty data: lines mean the backend is still working — show "⏳ Still working..." every 2 minutes.

About 30% of edit operations close the stream without any text. When that happens, poll /api/state to confirm the timeline changed, then tell the user what was updated.

Backend Response Translation

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

Backend says You 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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "generate a 30-second promotional video from my text and images automatically" — concrete instructions get better results.

Max file size is 200MB. Stick to MP4, MOV, PNG, JPG for the smoothest experience.

Export as MP4 for widest compatibility across social platforms and devices.

Common Workflows

Quick edit: Upload → "generate a 30-second promotional video from my text and images automatically" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

安全使用建议
This skill appears to do what it claims: it will make network requests to mega-api-prod.nemovideo.ai, upload your files, and store a short-lived anonymous token/session state so renders can be produced. Before installing, consider: 1) privacy: uploaded media may be retained by the service—check the provider's retention and deletion policy; 2) visibility: the skill's instructions tell the agent not to show raw API responses or token values, so errors and token exchanges may be hidden from you; 3) persistence: the skill may write state under ~/.config/nemovideo/ (or similar) to keep tokens/sessions—confirm where and how long tokens are stored; 4) network egress: the skill will perform outbound HTTPS requests and may auto-obtain a token on first use; if you need strict control over outbound traffic, do not enable it or provide an explicit NEMO_TOKEN instead of allowing anonymous creation; and 5) billing/limits: anonymous tokens are described as limited (free credits, 7-day expiry) and some errors require registration/upgrading. If you want higher assurance, ask the publisher for a privacy/data-retention statement and for explicit details on where tokens and session data are persisted.
功能分析
Type: OpenClaw Skill Name: free-video-generation-automatic Version: 1.0.0 The skill is a functional integration for a cloud-based video generation service (nemovideo.ai). It provides detailed instructions in SKILL.md for the agent to automate session management, handle anonymous token acquisition, and map user prompts to specific video editing API calls. While it includes some telemetry (detecting the installation platform via file paths) and instructs the agent to suppress raw API responses for a cleaner user experience, these behaviors are consistent with the stated purpose of the tool. No evidence of data exfiltration, malicious code execution, or harmful prompt injection was found.
能力评估
Purpose & Capability
Name/description (auto-generating MP4s on cloud GPUs) match the declared requirement for a single service token (NEMO_TOKEN) and a service-specific config path (~/.config/nemovideo/). There are no extraneous environment variables or unrelated binaries requested.
Instruction Scope
SKILL.md instructs the agent to obtain/refresh an anonymous token, create sessions, upload files, stream SSE results, poll render status, and store session_id and token for subsequent calls. Those actions are expected for a cloud rendering service. The doc also instructs the agent to hide raw API responses and token values from the user — a plausible UX/information-hiding guideline but worth noting because it reduces visible transparency during setup and error handling.
Install Mechanism
Instruction-only skill with no install spec and no code files, so nothing is written to disk by an installer. This minimizes installation risk; runtime network calls are the primary surface.
Credentials
Only one credential (NEMO_TOKEN) is required and is directly relevant to the stated purpose. The metadata also lists a service-specific config path (~/.config/nemovideo/), which is reasonable for persisting tokens/sessions but does imply the skill may read/write files under the user's home directory for state persistence.
Persistence & Privilege
Skill is user-invocable and not forced-always; it requests to store a session_id and to persist/use a NEMO_TOKEN but does not request elevated system privileges or to modify other skills or system-wide settings. Autonomous invocation is allowed (platform default) but not combined with other high-risk requests.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install free-video-generation-automatic
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-video-generation-automatic 触发
  4. 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
v1.0.0
Initial release of Free Video Generation Automatic — generate 1080p MP4 videos from text prompts or images in 1–2 minutes. - Supports automatic video creation from text or image inputs (up to 200MB, common video and image formats). - No manual editing required; process runs in the cloud and delivers MP4 downloads. - Integrated free/auth token flow: 100 free credits, 7-day validity. - Handles uploads, exports, timeline previews, and credit balance requests. - Includes clear error messages and workflow guidance for common editing, export, and file handling scenarios.
元数据
Slug free-video-generation-automatic
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Free Video Generation Automatic 是什么?

generate text or images into auto-generated MP4 videos with this skill. Works with MP4, MOV, PNG, JPG files up to 200MB. content creators, marketers, small b... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 121 次。

如何安装 Free Video Generation Automatic?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install free-video-generation-automatic」即可一键安装,无需额外配置。

Free Video Generation Automatic 是免费的吗?

是的,Free Video Generation Automatic 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Free Video Generation Automatic 支持哪些平台?

Free Video Generation Automatic 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 Free Video Generation Automatic?

由 dsewell-583h0(@dsewell-583h0)开发并维护,当前版本 v1.0.0。

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