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Highlight Editor Online

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install highlight-editor-online
功能描述
Get highlight reel clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something lik...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "create my raw video footage"
  • "export 1080p MP4"
  • "pull the best moments and compile"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

  • Generate a UUID as client identifier
  • POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
  • The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Highlight Editor Online — Extract and Export Video Highlights

This tool takes your raw video footage and runs AI highlight extraction through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 30-minute sports game recording and want to pull the best moments and compile them into a 2-minute highlight reel — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter source clips under 10 minutes produce faster and more accurate highlight detection.

Matching Input to Actions

User prompts referencing highlight editor online, 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 highlight-editor-online, 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 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)

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

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.

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

Common Workflows

Quick edit: Upload → "pull the best moments and compile them into a 2-minute highlight reel" → 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 "pull the best moments and compile them into a 2-minute highlight reel" — 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 social platforms and devices.

安全使用建议
This skill will upload any video you provide to a third-party service at mega-api-prod.nemovideo.ai and requires a NEMO_TOKEN (or it will request an anonymous token on your behalf). That behavior is consistent with a remote editing service, but consider: (1) only use non-sensitive test clips until you trust the service; (2) do not supply other unrelated secrets; (3) confirm the service's privacy/retention policies before uploading private footage; (4) note the skill may probe install-path heuristics to set an attribution header — if you want to avoid that, check or sandbox the agent environment. If you need stronger assurance, ask the skill author for a privacy policy or the exact data retention/processing details before sending real content.
功能分析
Type: OpenClaw Skill Name: highlight-editor-online Version: 1.0.0 The skill 'highlight-editor-online' is a functional wrapper for a video editing API hosted at mega-api-prod.nemovideo.ai. It provides instructions for the agent to manage sessions, upload video files, and poll for rendering status. While it includes logic for automated token acquisition and environment fingerprinting (checking install paths for attribution headers), these behaviors are consistent with the stated purpose of providing a cloud-based video editing service. No evidence of data exfiltration, unauthorized execution, or malicious intent was found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The skill is a cloud video highlight editor and requires a NEMO_TOKEN for API authorization and references a nemovideo config path; these align with the described capability to upload footage and call a rendering API.
Instruction Scope
SKILL.md confines actions to creating sessions, uploading media, SSE chat, polling render status, and exporting results to a public download URL. It explicitly instructs acquiring an anonymous token if NEMO_TOKEN is missing. One small scope note: it mentions deriving X-Skill-Platform from install paths (e.g., ~/.clawhub/, ~/.cursor/skills/) which implies probing installation context; the document doesn't explicitly say to read arbitrary system files, but this platform-detection heuristic may require checking known paths.
Install Mechanism
There is no install spec and no code files—this is instruction-only, so nothing is written to disk or downloaded at install time.
Credentials
The only required credential is NEMO_TOKEN (declared as primaryEnv), which is appropriate for a service that performs uploads/renders. The metadata also lists a config path (~/.config/nemovideo/) which is reasonable but not referenced directly in the instructions — its presence is plausible but not justified in-text.
Persistence & Privilege
The skill does not request always:true, does not persist installation changes, and is not asking to modify other skills or global agent settings.
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 highlight-editor-online
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /highlight-editor-online 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 Highlight Editor Online — Extract and Export Video Highlights. - Lets users upload raw video footage and use simple text instructions to extract and compile highlight reels. - Supports popular video formats (MP4, MOV, AVI, WebM) up to 500MB. - Automatic token handling with free starter credits if no API key is set. - Cloud render pipeline: generates 1080p MP4 highlight clips in 1-2 minutes. - Quick actions for upload, export, credits checking, and timeline previews. - Handles common workflows: quick edits, batch processing, and iterative refinement. - User-friendly error handling and guidance for best results.
元数据
Slug highlight-editor-online
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

Highlight Editor Online 是什么?

Get highlight reel clips ready to post, without touching a single slider. Upload your raw video footage (MP4, MOV, AVI, WebM, up to 500MB), say something lik... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 98 次。

如何安装 Highlight Editor Online?

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

Highlight Editor Online 是免费的吗?

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

Highlight Editor Online 支持哪些平台?

Highlight Editor Online 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 Highlight Editor Online?

由 tk8544-b(@tk8544-b)开发并维护,当前版本 v1.0.0。

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