功能描述

Skip the learning curve of professional editing software. Describe what you want — trim the pauses, add transitions, and export as a clean final cut — and ge...

使用说明 (SKILL.md)

Getting Started

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

Try saying:

"edit my raw video clips"
"export 1080p MP4"
"trim 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 App — Edit and Export Polished Videos

Name: Editor App
Author: susan4731-wilfordf

This tool takes your raw 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 unedited screen recording and want to trim the pauses, add transitions, and export as a clean final cut — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter clips under 60 seconds process significantly faster and use fewer credits.

Matching Input to Actions

User prompts referencing editor app, 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.

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

Header	Value
`X-Skill-Source`	`editor-app`
`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.

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

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.

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)

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "trim the pauses, add transitions, and export as a clean final cut" — 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 → "trim the pauses, add transitions, and export as a clean final cut" → 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 be a straightforward cloud video editor: it uploads your media to mega-api-prod.nemovideo.ai and returns edited output. Before installing, consider the privacy and trust implications of uploading videos (especially sensitive content) to a third-party service. Note two small inconsistencies: the SKILL.md can obtain an anonymous NEMO_TOKEN itself (so an env var is optional in practice), and the frontmatter mentions a config path (~/.config/nemovideo/) that the registry metadata did not. Confirm you are comfortable with the service domain, test with non-sensitive clips first, and avoid installing if you do not want any of your media or environment-derived metadata shared with that backend. If you need more assurance, ask the skill author to clarify whether the agent will read any local config files and whether tokens are persisted or logged.

功能分析

Type: OpenClaw Skill Name: editor-app Version: 1.0.0 The editor-app skill is a legitimate integration for a cloud-based video editing service (nemovideo.ai). It provides clear instructions for the AI agent to manage authentication via anonymous tokens, handle file uploads, and process video rendering tasks. The skill includes security-conscious instructions to avoid exposing tokens to the user and focuses entirely on its stated purpose of video editing without any signs of data exfiltration, malicious execution, or harmful prompt injection.

能力评估

✓ Purpose & Capability

Name, description, and required NEMO_TOKEN align with a cloud video-editing backend. The skill calls only the documented nemovideo.ai endpoints needed to create sessions, upload media, run renders, and check credits.

ℹ Instruction Scope

Runtime instructions stay within video-editing scope (token check, session creation, SSE, upload, render polling). They explicitly instruct the agent to read NEMO_TOKEN from the environment or obtain an anonymous token via the public anonymous-token API. Nothing in the SKILL.md instructs the agent to read unrelated system files, but frontmatter mentions a config path (~/.config/nemovideo/) which is not referenced elsewhere—this is an inconsistency to be aware of.

✓ Install Mechanism

Instruction-only skill with no install spec or remote downloads; nothing is written to disk by an installer step. Low install risk.

ℹ Credentials

The only declared credential is NEMO_TOKEN which is appropriate for a cloud API. However, SKILL.md describes creating an anonymous token if NEMO_TOKEN is missing (so the token is not strictly required), and the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while registry metadata showed none—this mismatch should be clarified.

✓ Persistence & Privilege

No always:true flag, no system-wide config edits, and no other elevated privileges requested. The skill creates sessions/tokens for its own use, which is normal for a cloud service integration.

版本历史

v1.0.0

Initial release of editor-app: quickly edit and export videos with AI. - Upload video files (MP4, MOV, AVI, WebM, up to 500MB) for fast, automated AI editing. - User-friendly prompts: describe edits (trim pauses, add transitions, etc.) to get polished video output in 1–2 minutes. - Automatic token management with support for anonymous sessions and 100 free credits. - Cloud render pipeline handles all processing; supports export as 1080p MP4. - Clear error feedback for unsupported files, large files, credits, and authentication issues. - Session-based workflow enables iterative edits, previews, and exports.

元数据

Slug editor-app

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 App 是什么？

Skip the learning curve of professional editing software. Describe what you want — trim the pauses, add transitions, and export as a clean final cut — and ge... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 72 次。

如何安装 Editor App？

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

Editor App 是免费的吗？

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

Editor App 支持哪些平台？

Editor App 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 App？

由 susan4731-wilfordf（@susan4731-wilfordf）开发并维护，当前版本 v1.0.0。

Editor App