← 返回 Skills 市场
susan4731-wilfordf

Best Free Video Generation Model

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
72
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install best-free-video-generation-model
功能描述
generate text prompts into AI generated videos with this skill. Works with MP4, MOV, WebM, GIF files up to 500MB. content creators use it for generating shor...
使用说明 (SKILL.md)

Getting Started

Share your text prompts and I'll get started on AI video generation. Or just tell me what you're thinking.

Try saying:

  • "generate my text prompts"
  • "export 1080p MP4"
  • "generate a 10-second video clip of"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Best Free Video Generation Model — Generate Videos from Text Prompts

Drop your text prompts in the chat and tell me what you need. I'll handle the AI video generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a short text description of a sunset over the ocean, ask for generate a 10-second video clip of a futuristic city skyline at night, 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, more specific prompts produce more accurate video results.

Matching Input to Actions

User prompts referencing best free video generation model, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source best-free-video-generation-model
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

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

Session state: GET /api/state/nemo_agent/me/\x3Csid>/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_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> 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

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process 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 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 JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

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

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

Common Workflows

Quick edit: Upload → "generate a 10-second video clip of a futuristic city skyline at night" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "generate a 10-second video clip of a futuristic city skyline at night" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, WebM, GIF for the smoothest experience.

Export as MP4 for widest compatibility.

安全使用建议
This skill appears internally consistent for a cloud video-generation connector, but you should verify the external service before using it. Consider: (1) The skill will send uploaded files, prompt text, and any NEMO_TOKEN to https://mega-api-prod.nemovideo.ai — don't upload sensitive or private media. (2) There is no homepage or published source linked in the metadata; if you need provenance, ask the publisher for documentation or source code. (3) If you already have a NEMO_TOKEN, provide it only if you trust the service; otherwise the skill will obtain an anonymous token automatically. (4) If you want to limit risk, avoid providing unrelated credentials and avoid letting the agent read arbitrary local file paths unless you explicitly upload a file. If you want higher assurance, request the skill's source or an official service homepage before installing.
功能分析
Type: OpenClaw Skill Name: best-free-video-generation-model Version: 1.0.0 The skill is a functional wrapper for a video generation service hosted at mega-api-prod.nemovideo.ai. It provides detailed instructions for the AI agent to manage sessions, handle anonymous authentication, upload media, and poll for video rendering status. The logic is consistent with the stated purpose of generating videos from text prompts, and there are no indicators of data exfiltration, unauthorized file access, or malicious command execution.
能力评估
Purpose & Capability
Name/description match the declared requirements: the skill calls a remote video generation API and only requests NEMO_TOKEN (plus an optional config path). No unrelated credentials, binaries, or platform-level access are requested.
Instruction Scope
SKILL.md instructs the agent to use NEMO_TOKEN if present, or obtain an anonymous starter token by POSTing to https://mega-api-prod.nemovideo.ai. It also describes uploading files (multipart '@/path' or via URLs), SSE streams, polling render status, and required attribution headers. These actions are expected for a remote video service, but the instructions will transmit user-provided files and any token used to the external API and are somewhat permissive about fetching files/URLs and auto-creating tokens.
Install Mechanism
Instruction-only skill with no install spec or code files; nothing is written to disk by an installer. This is the lowest install risk.
Credentials
Only NEMO_TOKEN is required (declared as primary). The frontmatter also lists a config path (~/.config/nemovideo/) which is plausible for cached credentials. Creating an anonymous token when none is present is functional but means the skill will reach out to an external endpoint to obtain credentials on the fly.
Persistence & Privilege
always:false and no install actions or modifications to other skills or system state are declared. The skill does not request persistent platform privileges.
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 best-free-video-generation-model
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /best-free-video-generation-model 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 — generate short AI videos from text prompts, free and cloud-powered. - Create and manage video generation sessions via secure backend API. - Convert user text prompts into 1080p MP4 video clips in 1–2 minutes. - Upload and process MP4, MOV, WebM, GIF files (up to 500MB). - View balances, track status, and export completed videos securely. - Supports additional formats: MOV, AVI, JPG, PNG, GIF, WebP, MP3, WAV, M4A, AAC. - Handles authentication, error cases, and streamlines video generation workflows for creators.
元数据
Slug best-free-video-generation-model
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

Best Free Video Generation Model 是什么?

generate text prompts into AI generated videos with this skill. Works with MP4, MOV, WebM, GIF files up to 500MB. content creators use it for generating shor... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 72 次。

如何安装 Best Free Video Generation Model?

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

Best Free Video Generation Model 是免费的吗?

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

Best Free Video Generation Model 支持哪些平台?

Best Free Video Generation Model 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 Best Free Video Generation Model?

由 susan4731-wilfordf(@susan4731-wilfordf)开发并维护,当前版本 v1.0.0。

💬 留言讨论