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Editor Ai Hd

作者 susan4731-wilfordf · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install editor-ai-hd
功能描述
YouTubers and content creators edit raw video footage into HD edited videos using this skill. Accepts MP4, MOV, AVI, WebM up to 500MB, renders on cloud GPUs...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "edit my raw video footage"
  • "export 1080p MP4"
  • "cut the slow parts, add transitions,"

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 AI HD — Edit and Export HD Videos

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

Here's a typical use: you send a a 2-minute 1080p camera recording, ask for cut the slow parts, add transitions, and export in HD quality, 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 3 minutes process significantly faster and yield cleaner AI cuts.

Matching Input to Actions

User prompts referencing editor ai hd, 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.

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

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.

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 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

Common Workflows

Quick edit: Upload → "cut the slow parts, add transitions, and export in HD quality" → 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 slow parts, add transitions, and export in HD quality" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 with H.264 codec for the best balance of HD quality and file size.

安全使用建议
This skill appears to do what it says: upload videos and call a cloud render API using a NEMO_TOKEN. Before installing, confirm: (1) the external domain (mega-api-prod.nemovideo.ai) is a service you trust to handle your media; (2) whether the skill will persist the anonymous token and session_id on disk (the frontmatter references ~/.config/nemovideo/); and (3) whether the agent will access other files when detecting install paths. If you need stronger privacy controls, avoid using anonymous token generation or uploading sensitive footage until you verify the service's terms and storage retention policies.
功能分析
Type: OpenClaw Skill Name: editor-ai-hd Version: 1.0.0 The skill is a functional integration for a video editing service hosted at nemovideo.ai. It enables the AI agent to handle video uploads, process editing commands via an SSE stream, and manage HD exports on cloud GPUs. The SKILL.md file provides transparent instructions for authentication (NEMO_TOKEN), session handling, and interpreting backend responses to update the video timeline. While it includes telemetry headers (X-Skill-Platform) and a mechanism for the backend to influence agent actions (e.g., mapping "click [button]" to API calls), these behaviors are strictly scoped to the video editing workflow and lack evidence of malicious intent or unauthorized data access.
能力评估
Purpose & Capability
The skill claims cloud GPU video editing and the SKILL.md instructs uploading videos and calling render endpoints using a single NEMO_TOKEN — this is coherent. Note: the YAML frontmatter lists a config path (~/.config/nemovideo/) that the registry metadata did not list; that discrepancy should be clarified.
Instruction Scope
Instructions stay within video-editing scope (session creation, SSE for edits, multipart upload, render polling). They do require the agent to read/detect an install path to derive X-Skill-Platform and to save a session_id; both are plausible but extend beyond purely 'upload this one file' behavior and may require filesystem access or local storage of session state.
Install Mechanism
No install spec or code files are present (instruction-only), so nothing will be written to disk by an installer. This is the lowest-risk install mechanism.
Credentials
Only one credential (NEMO_TOKEN) is required, which matches a cloud API. However the frontmatter mentions a config path (~/.config/nemovideo/) which would give the skill access to local configuration — that wasn't listed in the registry metadata and may be unnecessary. The skill also suggests generating and storing an anonymous token (100 credits, 7-day expiry); clarify whether tokens are stored persistently or only in-memory.
Persistence & Privilege
always:false (no forced global enable). The skill will store session_id and may write session state locally per instructions, which is reasonable for multi-step cloud jobs. Autonomous invocation is allowed (default) but not excessive by itself.
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-ai-hd
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /editor-ai-hd 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 AI HD — automated cloud-based HD video editing for content creators. - Supports uploads in MP4, MOV, AVI, WebM (max 500MB); exports polished 1080p videos within minutes. - Handles session setup and free token generation automatically. - User-friendly workflows: quick HD edits, batch processing, timeline previews, and iterative refinements. - Responds to common editing requests like cuts, transitions, text overlays, and audio tracks. - Clear feedback and error handling for file support, export access, and credits.
元数据
Slug editor-ai-hd
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 Ai Hd 是什么?

YouTubers and content creators edit raw video footage into HD edited videos using this skill. Accepts MP4, MOV, AVI, WebM up to 500MB, renders on cloud GPUs... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 108 次。

如何安装 Editor Ai Hd?

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

Editor Ai Hd 是免费的吗?

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

Editor Ai Hd 支持哪些平台?

Editor Ai Hd 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 Ai Hd?

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

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