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Maker Free Ai

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install maker-free-ai
功能描述
Get finished video files ready to post, without touching a single slider. Upload your images or clips (MP4, MOV, JPG, PNG, up to 500MB), say something like "...
使用说明 (SKILL.md)

Getting Started

Send me your images or clips and I'll handle the AI video creation. Or just describe what you're after.

Try saying:

  • "create five product photos and a logo file into a 1080p MP4"
  • "turn my photos into a 30-second promotional video with music and text"
  • "creating videos from images or clips without paid software for small business owners and content creators"

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: \x3Cuuid>. 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.

Maker Free AI — Create Videos with AI Free

This tool takes your images or clips and runs AI video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have five product photos and a logo file and want to turn my photos into a 30-second promotional video with music and text — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: using fewer than ten images keeps render time under a minute.

Matching Input to Actions

User prompts referencing maker free ai, 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 maker-free-ai
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 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

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "turn my photos into a 30-second promotional video with music and text" — concrete instructions get better results.

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

Export as MP4 for widest compatibility.

Common Workflows

Quick edit: Upload → "turn my photos into a 30-second promotional video with music and text" → Download MP4. Takes 30-60 seconds 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 looks like a normal cloud video creation integration, but before installing you should: 1) confirm the publisher or a homepage/source code so you can verify who runs mega-api-prod.nemovideo.ai; 2) ask whether the agent will read ~/.config/nemovideo/ (and what it contains) and whether any local files beyond user-uploaded media will be accessed; 3) prefer using a throwaway/anonymous token (the SKILL.md provides an anonymous-token flow) rather than a long-lived personal credential; 4) avoid uploading sensitive or private files (IDs, unreleased assets) until you trust the service; 5) consider network and storage implications of uploading large files and long-lived SSE streams; and 6) revoke any token after use or set a short expiry if possible. If the publisher/source code or clarifying documentation are provided, re-evaluating could raise confidence to benign.
功能分析
Type: OpenClaw Skill Name: maker-free-ai Version: 1.0.0 The skill is a legitimate integration for an AI video creation service hosted at mega-api-prod.nemovideo.ai. It provides instructions for an AI agent to manage authentication via anonymous tokens, handle file uploads, and interact with a cloud rendering pipeline. The behavior is consistent with the stated purpose of creating videos from user-provided images and clips, and no indicators of data exfiltration, malicious execution, or persistence were found.
能力评估
Purpose & Capability
Name/description describe cloud video creation and the SKILL.md exclusively calls a nemo-video API and file upload endpoints — asking for NEMO_TOKEN is coherent. However registry metadata (required config paths: none) disagrees with the skill frontmatter (metadata lists ~/.config/nemovideo/), which is an inconsistency to clarify.
Instruction Scope
Runtime instructions are focused on session creation, SSE streaming, uploads, and exports to the specified API — all expected for a render-as-a-service video tool. Points to watch: the skill directs generating/saving a token if none exists, long-lived SSE connections (up to 15 minutes) and uploads of large files (up to 500MB). The frontmatter implies detecting an install path / config path for platform/version attribution which could require reading agent install/config locations; the doc does not explicitly justify reading arbitrary config beyond the nemo config directory.
Install Mechanism
Instruction-only (no install spec, no code files). This is lower-risk because nothing is written or downloaded by an automated installer. Network calls will still occur at runtime.
Credentials
Only NEMO_TOKEN is declared (primaryEnv). That is proportionate for a hosted API. The skill also provides an anonymous-token flow to generate a temporary token, so it does not strictly require pre-existing secrets. The implicit frontmatter configPaths (~/.config/nemovideo/) suggests the agent may look for local stored tokens/config — reasonable but not documented in the instruction steps, creating ambiguity about what local files will be read.
Persistence & Privilege
always:false and normal autonomous invocation settings. The skill asks the agent to save a session_id/token for the session lifecycle (expected). It does not request always:true or system-wide config modifications.
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 maker-free-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /maker-free-ai 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 maker-free-ai — fast, free AI-powered video creation for small business and content creators. - Upload images or clips (MP4, MOV, JPG, PNG, up to 500MB), describe your video, and get a downloadable 1080p MP4. - Automatic setup with free or provided NEMO_TOKEN authentication. - Supports exporting, credits checking, session state, and uploads via dedicated commands. - Cloud render pipeline processes and delivers videos in 30–90 seconds per job. - Robust API integration with error handling, session management, and action mappings from natural language prompts. - Supports major video, audio, and image formats for uploads and exports.
元数据
Slug maker-free-ai
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

Maker Free Ai 是什么?

Get finished video files ready to post, without touching a single slider. Upload your images or clips (MP4, MOV, JPG, PNG, up to 500MB), say something like "... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 48 次。

如何安装 Maker Free Ai?

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

Maker Free Ai 是免费的吗?

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

Maker Free Ai 支持哪些平台?

Maker Free Ai 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 Maker Free Ai?

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

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