功能描述

edit raw video footage into shareable edited videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for editing vi...

使用说明 (SKILL.md)

Getting Started

Got raw video footage to work with? Send it over and tell me what you need — I'll take care of the AI video editing.

Try saying:

"edit a 2-minute unedited screen recording into a 1080p MP4"
"trim the pauses, add transitions, and export a shareable link"
"editing videos and generating a shareable link instantly for content creators"

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.

AI Video Editor Link — Edit Videos and Share Instantly

Name: Ai Video Editor Link
Author: mory128

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 trim the pauses, add transitions, and export a shareable link, 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 generate shareable links the fastest.

Matching Input to Actions

User prompts referencing ai video editor link, 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`	`ai-video-editor-link`
`X-Skill-Version`	frontmatter `version`
`X-Skill-Platform`	auto-detect: `clawhub` / `cursor` / `unknown` from install path

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.

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

SSE Event Handling

Event	Action
Text response	Apply GUI translation (§4), present to user
Tool call/result	Process internally, don't forward
`heartbeat` / empty `data:`	Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes	Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

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)

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 a shareable link" — 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 a shareable link" → 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 uploads user videos to a third‑party API (mega-api-prod.nemovideo.ai) and uses a bearer token (NEMO_TOKEN). It will try to auto‑obtain an anonymous token if you don't provide one. Before installing or running: (1) confirm you trust the external domain and its privacy terms for your video content; (2) avoid putting any unrelated secret into NEMO_TOKEN; (3) ask the skill author whether tokens or session IDs are stored on disk (the SKILL.md lists ~/.config/nemovideo/ but the registry metadata does not) and where exactly data is persisted; (4) if you are concerned about filesystem access, deny the skill permission to read/write agent config or ensure it runs in a restricted environment. The inconsistencies above are likely explainable (packaging error or omitted metadata) but should be clarified before use.

功能分析

Type: OpenClaw Skill Name: ai-video-editor-link Version: 1.0.0 The skill provides a functional interface for a cloud-based AI video editing service hosted at mega-api-prod.nemovideo.ai. It manages authentication via the NEMO_TOKEN environment variable and includes a fallback mechanism to acquire anonymous tokens. The instructions in SKILL.md guide the agent through a standard REST/SSE API workflow for uploading media, managing editing sessions, and polling render status, with explicit instructions to protect user privacy by not printing tokens or raw JSON.

能力评估

ℹ Purpose & Capability

Name/description align with remote video processing and a single API token (NEMO_TOKEN). Requiring a token and session lifecycle is coherent for a cloud render service. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata shows no required config paths — this mismatch is unexplained and could indicate hidden filesystem access expectations.

⚠ Instruction Scope

The instructions tell the agent to: upload user media to mega-api-prod.nemovideo.ai, create an anonymous token by POSTing with a generated UUID if no NEMO_TOKEN is present, and save session_id. They also require auto-detecting an install path to populate X-Skill-Platform header. These steps legitimately require network access, but they also imply creating/storing tokens and reading the agent's install/config path (filesystem access) which the registry did not declare. The instructions do not request unrelated credentials, but they do direct the agent to transmit user files and a bearer token to a third-party API.

✓ Install Mechanism

Instruction-only skill with no install spec and no code files — low install risk. Nothing is downloaded or written by an installer spec in the registry data available.

ℹ Credentials

Only one env var (NEMO_TOKEN) is declared as required, which is proportionate for a remote service. But SKILL.md instructs the agent to obtain an anonymous token automatically and then use it as the NEMO_TOKEN; it also references saving session_id and an implied config path. If the skill will write tokens to disk or to agent config, that persistence is not declared in registry metadata and may be unexpected.

⚠ Persistence & Privilege

always:false (normal). Autonomous invocation is allowed (platform default). The skill's instructions imply persisting session_id and possibly token information and require auto-detecting an install path for a header — this suggests possible filesystem reads/writes not declared in registry metadata. The combination of automatic token generation + implied persistence without explicit declaration is a privilege/persistence concern.

版本历史

v1.0.0

AI Video Editor Link — Version 1.0.0 - Initial release of the AI-based video editing skill. - Edit raw video footage (MP4, MOV, AVI, WebM, up to 500MB) and generate instant, shareable 1080p MP4 links. - Quick cloud GPU processing (1–2 minutes) — no software required. - Automatic session setup, free token support, and secure authentication with attribution headers. - Supports uploading, editing, exporting, and tracking credits and job status with easy chat commands. - Accepts multiple common video, image, and audio formats for editing.

元数据

Slug ai-video-editor-link

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

Ai Video Editor Link 是什么？

edit raw video footage into shareable edited videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. content creators use it for editing vi... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 49 次。

如何安装 Ai Video Editor Link？

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

Ai Video Editor Link 是免费的吗？

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

Ai Video Editor Link 支持哪些平台？

Ai Video Editor Link 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 Ai Video Editor Link？

由 mory128（@mory128）开发并维护，当前版本 v1.0.0。

Ai Video Editor Link