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tk8544-b

Maker Bak

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install maker-bak
功能描述
Turn a 60-second original video clip into 1080p remade video files just by typing what you need. Whether it's remaking existing videos with new visual styles...
使用说明 (SKILL.md)

Getting Started

Share your raw video footage and I'll get started on AI video recreation. Or just tell me what you're thinking.

Try saying:

  • "recreate my raw video footage"
  • "export 1080p MP4"
  • "remake this video with a different"

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.

Maker Bak — Remake and Export Videos

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

Here's a typical use: you send a a 60-second original video clip, ask for remake this video with a different background and style, 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 source clips produce more accurate remakes.

Matching Input to Actions

User prompts referencing maker bak, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is maker-bak, 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.

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.

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)

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "remake this video with a different background and style" — 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.

Common Workflows

Quick edit: Upload → "remake this video with a different background and style" → 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 says (upload your video to a cloud backend for AI remakes) but you should: (1) understand that your video files will be uploaded to https://mega-api-prod.nemovideo.ai and processed there — don’t send sensitive footage unless you trust that service and its privacy policy; (2) provide a trusted NEMO_TOKEN if you have one, or be aware the skill will obtain an anonymous token for you by calling the external auth endpoint; (3) ask the publisher to clarify the mismatch between registry metadata (no configPaths) and the SKILL.md frontmatter (which references ~/.config/nemovideo/) and why the skill needs to probe install paths to set X-Skill-Platform; (4) if you need higher assurance, request the skill's source or a vetted publisher before installing or using it. If you’re unsure about the external service, do not upload sensitive videos.
功能分析
Type: OpenClaw Skill Name: maker-bak Version: 1.0.0 The maker-bak skill is a legitimate integration for the nemovideo.ai cloud video editing service. The SKILL.md file provides clear instructions for the agent to handle authentication via NEMO_TOKEN (including anonymous token acquisition), manage video upload sessions, and process rendering tasks through a defined API (mega-api-prod.nemovideo.ai). There is no evidence of data exfiltration, malicious execution, or harmful prompt injection; the requested permissions (environment variables and config paths) are consistent with the skill's stated purpose of video processing.
能力评估
Purpose & Capability
The name/description (video remake/export) align with the runtime instructions: the SKILL.md describes uploading video, creating sessions, SSE-based edits, and exporting MP4s from a cloud backend. Requesting a single service token (NEMO_TOKEN) is proportional to the stated purpose.
Instruction Scope
The SKILL.md instructs the agent to check environment for NEMO_TOKEN, call external API endpoints (auth, upload, render, state), upload user files, and stream SSE responses — these are expected for a cloud video service. However the instructions also say to detect the agent install path to set X-Skill-Platform (by checking paths like ~/.clawhub/ or ~/.cursor/skills/) and the YAML frontmatter includes a configPath (~/.config/nemovideo/) that is not reflected in the registry metadata. That implies the skill may read filesystem paths beyond what the registry declared. The skill will also generate anonymous tokens if no NEMO_TOKEN exists and store/use session IDs for operations (but does not specify persistent storage location).
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes disk-write risk: nothing is downloaded or executed locally by an installer.
Credentials
Only one credential (NEMO_TOKEN) is declared as required, which fits the cloud API usage. The SKILL.md additionally instructs fetching an anonymous token from the external API if NEMO_TOKEN is absent. This behaviour is plausible but means the agent will reach out to the remote endpoint and accept a token returned there, so credentials may be created/used automatically if you don't provide your own token.
Persistence & Privilege
always is false and the skill is not force-enabled. It does ask to keep session_id in-memory for operations but does not request system-wide or other-skills' config changes. Autonomous invocation is permitted (default) — not flagged by itself.
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-bak
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /maker-bak 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 Bak — Remake and Export Videos. - Upload a raw video file and describe the desired result to generate AI-remade 1080p videos. - Automatic setup with cloud backend; anonymous token creation included (100 free credits for 7 days). - Simple commands for upload, export, credits, and session status; no timeline editing or export settings needed. - Supports multiple video and audio formats; processes each request in about 1-2 minutes. - Error handling for common issues like file size, format, credits, and session/token problems.
元数据
Slug maker-bak
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 Bak 是什么?

Turn a 60-second original video clip into 1080p remade video files just by typing what you need. Whether it's remaking existing videos with new visual styles... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 59 次。

如何安装 Maker Bak?

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

Maker Bak 是免费的吗?

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

Maker Bak 支持哪些平台?

Maker Bak 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 Bak?

由 tk8544-b(@tk8544-b)开发并维护,当前版本 v1.0.0。

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