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vcarolxhberger

Free Free Maker

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install free-free-maker
功能描述
Skip the learning curve of professional editing software. Describe what you want — make a free video with no watermark and no cost — and get free finished vi...
使用说明 (SKILL.md)

Getting Started

Share your video clips and I'll get started on free video creation. Or just tell me what you're thinking.

Try saying:

  • "create my video clips"
  • "export 1080p MP4"
  • "make a free video with no"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Free Video Maker — Create and Export Videos Free

Send me your video clips and describe the result you want. The free video creation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 60-second raw video clip, type "make a free video with no watermark and no cost", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: shorter clips under 2 minutes process fastest with no cost.

Matching Input to Actions

User prompts referencing free free maker, 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.

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

  • X-Skill-Source: free-free-maker
  • 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.

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

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.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

  • "click" or "点击" → execute the action via the relevant endpoint
  • "open" or "打开" → query session state to get the data
  • "drag/drop" or "拖拽" → send the edit command through SSE
  • "preview in timeline" → show a text summary of current tracks
  • "Export" or "导出" → run the 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)

Common Workflows

Quick edit: Upload → "make a free video with no watermark and no cost" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "make a free video with no watermark and no cost" — 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 skill will upload your video files and related project data to a remote service (mega-api-prod.nemovideo.ai) and will obtain or use a NEMO_TOKEN for authorization. Confirm you trust that endpoint and the skill author before sending private or sensitive footage. Note the SKILL.md metadata mentions reading ~/.config/nemovideo/ and this file's frontmatter (to set attribution headers) — check whether you want the agent to read those paths. The package has no homepage and an unknown source; if you want stronger assurance, ask the author for a privacy policy, service terms, and a well-known homepage, or prefer providing your own NEMO_TOKEN only after verifying the service. Finally, be aware the agent will auto-request an anonymous token if none is set, which causes network traffic to the service even without you supplying credentials.
功能分析
Type: OpenClaw Skill Name: free-free-maker Version: 1.0.0 The skill provides a functional interface for a video editing service hosted at mega-api-prod.nemovideo.ai. It includes detailed instructions for the AI agent to manage authentication (via anonymous tokens), handle file uploads, and interact with a cloud-based rendering pipeline. The behaviors, including telemetry via attribution headers and platform detection, are consistent with the stated purpose of a video creation tool and do not exhibit signs of data exfiltration or malicious intent.
能力评估
Purpose & Capability
The skill claims to perform cloud-based video editing and export; the SKILL.md describes upload, render, SSE, and export endpoints that align with that purpose. However the SKILL.md includes a required config path (~/.config/nemovideo/) in its frontmatter metadata while the registry summary presented earlier reported no required config paths — that's an inconsistency worth noting.
Instruction Scope
Runtime instructions direct the agent to upload user media, stream edits via SSE, poll job state, and include attribution headers. They also instruct the agent to read this file's YAML frontmatter and detect an install path (e.g., ~/.clawhub/ or ~/.cursor/skills/) to set X-Skill-Platform. These actions are consistent with a remote video service but mean user files and metadata will be sent to a third-party endpoint (mega-api-prod.nemovideo.ai). The instructions to auto-acquire an anonymous token if NEMO_TOKEN is missing mean the agent will contact that remote API without an externally-provided credential.
Install Mechanism
Instruction-only skill with no install spec or code to be written to disk; lowest installation risk from a supply-chain perspective.
Credentials
Only one declared credential (NEMO_TOKEN) is required and is appropriate for a remote service. The skill will, however, attempt to create/obtain an anonymous NEMO_TOKEN by POSTing to the service if no token is present, and the frontmatter suggests reading a config path (~/.config/nemovideo/). Both behaviors are plausible for this feature but increase data sent to the remote service and warrant user awareness.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges or modification of other skills' configurations. It can be invoked autonomously by the agent (default), which is normal — no additional persistence or system-wide changes are requested.
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-free-maker
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /free-free-maker 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
Free-free-maker 1.0.0 — Initial Release - Create and export videos for free with no watermark or cost, using cloud GPU processing. - Simple onboarding: automatic token fetch, session setup, and status updates ("Connecting...", "Ready!"). - Support for uploading video/audio/image files up to 500MB; handles MP4, MOV, AVI, WebM, and more. - Natural language actions: edit, generate, export, check credits, and view timeline state with easy commands. - All exports are watermark-free 1080p MP4; rendering happens remotely in 30–90 seconds. - Clear error handling and step-by-step session management for a smooth, paywall-free video creation experience.
元数据
Slug free-free-maker
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 Free Maker 是什么?

Skip the learning curve of professional editing software. Describe what you want — make a free video with no watermark and no cost — and get free finished vi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 52 次。

如何安装 Free Free Maker?

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

Free Free Maker 是免费的吗?

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

Free Free Maker 支持哪些平台?

Free Free Maker 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 Free Maker?

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

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