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vcarolxhberger

Editor Pc

by vcarolxhberger · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install editor-pc
Description
Get edited MP4 files ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like "c...
README (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:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "cut out silences, add transitions, and"

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.

Editor PC — Edit and Export Videos Online

Send me your raw video footage and describe the result you want. The AI video editing runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 2-minute screen recording or webcam clip, type "cut out silences, add transitions, and export a clean final video", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter clips under 3 minutes process significantly faster on the platform.

Matching Input to Actions

User prompts referencing editor pc, 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.

Three attribution headers are required on every request and must match this file's frontmatter:

Header Value
X-Skill-Source editor-pc
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

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 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)

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "cut out silences, 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.

Common Workflows

Quick edit: Upload → "cut out silences, 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.

Usage Guidance
This skill appears to be a front-end for a remote video-editing service and needs a NEMO_TOKEN to operate; that is reasonable. However: (1) the skill originates from an unknown source with no homepage — you can't easily verify the provider. (2) The instructions will upload your video files to an external API (mega-api-prod.nemovideo.ai) — do not upload sensitive or private footage unless you trust that service and its privacy policy. (3) The SKILL.md mentions a local config path (~/.config/nemovideo/) and auto-detecting an install path for header attribution; clarify whether the agent will read or write files in your home directory before installing. (4) If you don't want to expose a long-lived token, use the anonymous token flow but note those tokens have expiry/credits; ask whether tokens are stored persistently. Before installing: verify the service domain and privacy policy (or avoid installing if you cannot verify the vendor), confirm exactly what local files (if any) the skill will access, and prefer using ephemeral anonymous tokens if you must test it.
Capability Analysis
Type: OpenClaw Skill Name: editor-pc Version: 1.0.0 The skill bundle describes a legitimate cloud-based video editing service integration for 'Editor PC' (nemovideo.ai). It provides detailed instructions for an AI agent to manage authentication via tokens, handle file uploads to a remote GPU-accelerated pipeline, and poll for rendered MP4 outputs. While the skill involves sending user data to a third-party API (mega-api-prod.nemovideo.ai), this behavior is transparently documented and strictly aligned with the stated purpose of server-side video processing. No indicators of malicious intent, such as credential theft, unauthorized shell execution, or hidden data exfiltration, were found.
Capability Assessment
Purpose & Capability
The skill claims to perform cloud video editing and requires a NEMO_TOKEN — that is coherent. However, the frontmatter in SKILL.md lists a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths; this mismatch is unexplained. Also the skill's source/homepage are unknown, reducing ability to verify the service.
Instruction Scope
SKILL.md instructs the agent to call a remote API (mega-api-prod.nemovideo.ai), create sessions, upload video files, stream SSE responses, poll render status, and (if no env token) obtain an anonymous token via an API call. Those actions are consistent with remote video editing. It does request auto-detection of an install path to set an X-Skill-Platform header and references a local config path — which may require reading local filesystem state (install path or ~/.config) beyond strictly sending the user-provided video. The instructions do not ask for unrelated secrets, but do direct uploading user files to an external service.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest install risk (nothing is downloaded or written by an installer).
Credentials
Only a single credential is declared (NEMO_TOKEN), which fits a cloud API integration. However, SKILL.md's frontmatter includes a config path (~/.config/nemovideo/) which implies possible local config read/write not declared in the registry. The skill also instructs generating an anonymous token via API if no env var exists; consider whether that token will be stored persistently.
Persistence & Privilege
always:false and normal autonomous invocation. The skill does not request elevated or cross-skill privileges. It does create and use session IDs for render jobs, which is expected for the service.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install editor-pc
  3. After installation, invoke the skill by name or use /editor-pc
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of Editor PC — cloud AI video editing for PC users. - Upload raw video (MP4, MOV, AVI, WebM up to 500MB), give editing instructions, and download a 1080p MP4—no need for manual controls. - One-click setup: Anonymous token and session management handled automatically; clear status updates as you connect. - Supports editing, cutting, transitions, text, audio tracks, and batch processing using simple natural language commands. - Cloud GPU rendering pipeline: Fast 30–90s exports; all processing occurs remotely. - Robust error handling covers tokens, credits, formats, and rate limits. - Designed for easy, fast edits—no experience with tools like Premiere required.
Metadata
Slug editor-pc
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Editor Pc?

Get edited MP4 files ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something like "c... It is an AI Agent Skill for Claude Code / OpenClaw, with 64 downloads so far.

How do I install Editor Pc?

Run "/install editor-pc" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Editor Pc free?

Yes, Editor Pc is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Editor Pc support?

Editor Pc is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Editor Pc?

It is built and maintained by vcarolxhberger (@vcarolxhberger); the current version is v1.0.0.

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