← 返回 Skills 市场
peand-rover

Maker Free Long

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
54
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install maker-free-long
功能描述
Get watermark-free long videos ready to post, without touching a single slider. Upload your long video footage (MP4, MOV, AVI, WebM, up to 500MB), say someth...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "create a 10-minute raw screen recording or interview footage into a 1080p MP4"
  • "create a full-length video from my clips without any watermark"
  • "creating long-form videos for free without watermarks for YouTubers, content creators, educators"

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 Long Video Maker — Create Long Videos Without Watermarks

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

Say you have a 10-minute raw screen recording or interview footage and want to create a full-length video from my clips without any watermark — the backend processes it in about 2-4 minutes and hands you a 1080p MP4.

Tip: splitting very long footage into segments can speed up processing.

Matching Input to Actions

User prompts referencing maker free long, 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.

All calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"\x3Clang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/\x3Csid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/\x3Csid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s for completed status and download URL.

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

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

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

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

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)

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

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.

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 → "create a full-length video from my clips without any watermark" → Download MP4. Takes 2-4 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 "create a full-length video from my clips without any watermark" — concrete instructions get better results.

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

Export as MP4 for widest compatibility.

安全使用建议
This appears to be a normal cloud video-making skill rather than malicious behavior. Before installing, make sure you are comfortable sending your video files and editing prompts to mega-api-prod.nemovideo.ai, and use a dedicated NEMO_TOKEN if possible.
功能分析
Type: OpenClaw Skill Name: maker-free-long Version: 1.0.0 The skill acts as a legitimate wrapper for a video processing service hosted at mega-api-prod.nemovideo.ai. It provides instructions for the AI agent to manage authentication via anonymous tokens, handle multipart video uploads, and manage rendering sessions. While it directs the agent to check specific local paths (e.g., ~/.config/nemovideo/ and installation directories) for configuration and telemetry headers, these actions are consistent with the stated purpose of the tool and do not exhibit signs of data exfiltration, unauthorized execution, or malicious intent.
能力评估
Purpose & Capability
The stated purpose is cloud-based long-video creation, and the documented upload, edit, render, and export workflows fit that purpose. The main user-facing risk is that uploaded media and prompts are processed by an external backend.
Instruction Scope
The skill instructs the agent to translate backend GUI-style responses into API actions, including export. This appears purpose-aligned for operating a headless video editor, but users should be aware that backend responses can drive follow-up actions.
Install Mechanism
No install script or code files are provided, and the static scan had nothing suspicious to analyze. The skill is instruction-only.
Credentials
The skill requires or obtains a NEMO_TOKEN for the external rendering service. That is proportionate to the service integration, but it is still account/session authority for the NemoVideo API.
Persistence & Privilege
The skill stores a returned session_id for subsequent requests and notes that render jobs may be orphaned if the tab closes. No hidden local persistence or elevated system privilege is shown.
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-long
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /maker-free-long 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 — Free Long Video Maker lets you create and export long, watermark-free videos in 1080p MP4. - Upload long video footage (MP4, MOV, AVI, WebM, up to 500MB) and generate full-length videos with no watermark. - Automatic backend connection and session setup, with 100 free credits per user (no paid subscription needed for watermark-free exports). - Supports intuitive workflows: quick edit, batch, and iterative video creation. - Exports processed via secure cloud GPU pipeline, with export/download links provided when complete. - Responds to natural-language instructions and key commands like "upload", "export", "balance". - Automatic error handling and workflow guidance for file size/type, login/token, credits, and rate limits.
元数据
Slug maker-free-long
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 Long 是什么?

Get watermark-free long videos ready to post, without touching a single slider. Upload your long video footage (MP4, MOV, AVI, WebM, up to 500MB), say someth... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 54 次。

如何安装 Maker Free Long?

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

Maker Free Long 是免费的吗?

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

Maker Free Long 支持哪些平台?

Maker Free Long 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 Long?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

💬 留言讨论