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No Generator

作者 vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install no-generator
功能描述
edit existing video clips into edited video files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for editing exis...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "edit my existing video clips"
  • "export 1080p MP4"
  • "edit and enhance this video without"

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.

No Generator — Edit footage without AI generation

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

Say you have a 2-minute recorded interview clip and want to edit and enhance this video without generating new content — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: uploading trimmed clips instead of full recordings speeds up processing.

Matching Input to Actions

User prompts referencing no 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 no-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 JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

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

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "edit and enhance this video without generating new content" — 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 → "edit and enhance this video without generating new content" → 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
Before installing, confirm you are comfortable sending selected video, image, or audio files to NemoVideo’s cloud API and using a NEMO_TOKEN for authentication. The artifacts do not show hidden code, unrelated credential use, or destructive behavior.
功能分析
Type: OpenClaw Skill Name: no-generator Version: 1.0.0 The 'no-generator' skill is a legitimate integration for a video editing service hosted at nemovideo.ai. The SKILL.md file provides functional instructions for the AI agent to manage API sessions, upload media, and poll for rendering status. While it requests access to a specific configuration path (~/.config/nemovideo/) and an environment variable (NEMO_TOKEN), these are strictly scoped to the service's operation. There is no evidence of data exfiltration, malicious command execution, or harmful prompt injection; the instructions even include security-conscious directives such as suppressing the output of raw tokens and JSON to the user.
能力评估
Purpose & Capability
The skill’s cloud upload, editing, render, and export workflow matches its stated purpose of editing existing video clips.
Instruction Scope
Instructions include automatic first-use API setup and provider calls, which are disclosed and purpose-aligned but should be visible to the user.
Install Mechanism
There is no install script or code package; this is an instruction-only skill, and the static scanner had no code to analyze.
Credentials
The required NEMO_TOKEN credential and media upload are proportionate to a cloud video-editing integration, with no artifact evidence of unrelated use or token disclosure.
Persistence & Privilege
The skill stores or uses a session_id during API interaction, but there is no evidence of durable background persistence, privilege escalation, or hidden activity.
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 no-generator
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /no-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 No Generator — edit your footage without AI-generated content. - Upload and edit existing MP4, MOV, AVI, WebM clips up to 500MB; output 1080p MP4 edits in 30–60 seconds. - Fully cloud-based editing pipeline; no AI content is generated. - Easy connection with free 100-credit anonymous tokens; automatic session management. - Supports actions like exporting, viewing credits, uploading, timeline previews, and batch edits. - Clear error messages for file type, size, credits, and connection issues. - Designed for creators who want fast, non-generative video edits.
元数据
Slug no-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

No Generator 是什么?

edit existing video clips into edited video files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for editing exis... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 95 次。

如何安装 No Generator?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install no-generator」即可一键安装,无需额外配置。

No Generator 是免费的吗?

是的,No Generator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

No Generator 支持哪些平台?

No 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 No Generator?

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

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