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vynbosserman65

Editor Maker Generator

作者 vynbosserman65 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install editor-maker-generator
功能描述
Get edited video files ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "create my raw video footage"
  • "export 1080p MP4"
  • "cut the pauses, add transitions, and"

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.

Editor Maker Generator — Create and Export Finished Videos

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

Here's a typical use: you send a a 2-minute unedited screen recording, ask for cut the pauses, add transitions, and export a clean final video, 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 clips under 60 seconds process significantly faster and give more precise AI edits.

Matching Input to Actions

User prompts referencing editor maker generator, 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.

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

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 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

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.

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 → "cut the pauses, add transitions, and export a clean final video" → 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 "cut the pauses, add transitions, and export a clean final video" — 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 across platforms and devices.

安全使用建议
This skill appears to be a front-end for a cloud video-editing service and will upload any videos you send to https://mega-api-prod.nemovideo.ai. Before installing or using it: 1) Confirm you trust nemovideo.ai and are comfortable with them receiving your video/audio files (privacy/data retention). 2) Ask how the skill stores the anonymous NEMO_TOKEN (temporary in-memory vs saved to environment or ~/.config/nemovideo/). The SKILL.md and registry metadata disagree about config paths. 3) Do not provide other unrelated credentials; only NEMO_TOKEN is needed. 4) If you require audits/compliance, request the service’s privacy and retention policy and verify where uploads are stored and who can access them. If you’re unsure about token persistence or the platform-detection behavior (it may inspect install paths), treat the skill as untrusted until the publisher clarifies those points.
功能分析
Type: OpenClaw Skill Name: editor-maker-generator Version: 1.0.0 The skill is a legitimate integration for a cloud-based video editing service hosted at nemovideo.ai. It provides detailed instructions for the AI agent to manage authentication tokens, handle file uploads, and interact with a video processing API. The behaviors described, such as session management and SSE stream handling, are consistent with the stated purpose of automated video editing, and no indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
能力评估
Purpose & Capability
The name/description (cloud AI video editing) align with the runtime instructions (uploading video, creating sessions, exporting MP4). Required credential (NEMO_TOKEN) is expected. However, the SKILL.md frontmatter declares a config path (~/.config/nemovideo/) while the registry metadata lists no required config paths — this inconsistency is unexplained.
Instruction Scope
Instructions tell the agent to upload user video files and other data to https://mega-api-prod.nemovideo.ai and to generate or accept a NEMO_TOKEN. Uploading user content to a remote service is expected for an editing backend, but the SKILL.md is ambiguous about whether and where the obtained anonymous token is persisted (environment, config path, or only in-memory). The instructions also require sending custom headers derived from local install path detection (X-Skill-Platform), which implies the agent may inspect install paths. The skill does not instruct reading unrelated system files, but the platform-detection step could cause the agent to access a path.
Install Mechanism
Instruction-only skill with no install steps and no code files — lowest install risk. No downloads or third-party packages are requested.
Credentials
Only NEMO_TOKEN is declared as required, which is proportionate for a cloud editing service. The SKILL.md also describes obtaining an anonymous NEMO_TOKEN via an API call if none exists — normal, but the skill claims a config path in metadata (see above) without explaining whether tokens/config will be stored there.
Persistence & Privilege
always:false and no install-time persistence is declared. The skill does not request elevated or persistent platform privileges. The only autonomy-related concern is normal: the agent can call the service when invoked.
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 editor-maker-generator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /editor-maker-generator 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 Editor Maker Generator — AI-powered cloud video editor. - Instantly edit and export videos by uploading footage and describing your needs in plain language. - Supports MP4, MOV, AVI, WebM uploads up to 500MB; exports in 1080p MP4 by default. - Automated setup connects to a cloud backend, checking for necessary tokens and configuring sessions. - Handles upload, editing, status, and export workflows with real-time feedback. - Guides users through error handling (e.g., token issues, file limits) and displays clear progress updates.
元数据
Slug editor-maker-generator
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

Editor Maker Generator 是什么?

Get edited video files ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, 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 58 次。

如何安装 Editor Maker Generator?

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

Editor Maker Generator 是免费的吗?

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

Editor Maker Generator 支持哪些平台?

Editor Maker Generator 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 Editor Maker Generator?

由 vynbosserman65(@vynbosserman65)开发并维护,当前版本 v1.0.0。

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