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linmillsd7

Highlight Editor App

作者 linmillsd7 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install highlight-editor-app
功能描述
Turn a 2-hour sports game recording into 1080p highlight reel clips just by typing what you need. Whether it's generating short highlight reels from long vid...
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"
  • "extract the best moments and compile"

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.

Highlight Editor App — Extract and Export Video Highlights

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

A quick example: upload a 2-hour sports game recording, type "extract the best moments and compile them into a 60-second highlight reel", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: trimming your source video to the relevant section before uploading speeds up highlight detection.

Matching Input to Actions

User prompts referencing highlight 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.

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-app, 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.

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

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.

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 → "extract the best moments and compile them into a 60-second 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 "extract the best moments and compile them into a 60-second 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.

安全使用建议
This skill appears to do what it says (upload video to a remote rendering service and return highlights) and only asks for one service token, but exercise caution: 1) The service endpoint is external (mega-api-prod.nemovideo.ai) — any video you upload will leave your device; avoid uploading sensitive or private footage until you trust the service. 2) The package metadata is inconsistent (SKILL.md declares a config path that registry metadata does not); that could be a packaging error but reduces confidence in provenance. 3) There is no source or homepage listed and the owner is an opaque ID — if you need stronger assurance, ask the author for a code repository, privacy/data-retention policy, or a corporate identity. 4) Test first with non-sensitive sample videos and monitor network activity. 5) If you already have a NEMO_TOKEN, prefer using it; do not paste other unrelated credentials. If you require higher assurance, request the skill author to provide source code or a verifiable homepage before using it with real data.
功能分析
Type: OpenClaw Skill Name: highlight-editor-app Version: 1.0.0 The skill bundle provides a functional interface for a cloud-based video editing service (nemovideo.ai). It manages API sessions, file uploads, and rendering tasks via standard REST and SSE endpoints. Security hygiene is observed through instructions to avoid printing raw tokens or JSON to the user, and the network activity is strictly limited to the stated domain for the purpose of video processing. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found in SKILL.md or _meta.json.
能力评估
Purpose & Capability
The skill claims to produce video highlights via a remote API and the runtime instructions call endpoints on mega-api-prod.nemovideo.ai and require a NEMO_TOKEN — this is coherent. However, the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/) while the registry metadata lists no required config paths; that mismatch is unexplained and suggests packaging inaccuracy or stale metadata.
Instruction Scope
SKILL.md instructs the agent to obtain/use NEMO_TOKEN (or acquire an anonymous token), create sessions, upload video files, read SSE streams, poll render status, and return download URLs — all consistent with a remote render service. It also instructs constructing attribution headers and deriving X-Skill-Platform from the install path, which implies the agent may need to inspect its environment/install path. There are no instructions to read unrelated local secrets or system files, but uploading user video to a third-party service is explicit and privacy-relevant.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk by an installer. This is the lowest-risk install model. There are no external downloads or packages referenced.
Credentials
Only a single service credential (NEMO_TOKEN) is declared as required and is directly used for API Authorization. The SKILL.md also describes obtaining an anonymous token if NEMO_TOKEN is absent. No unrelated credentials or broad system secrets are requested.
Persistence & Privilege
The skill does not request always:true and uses default autonomous invocation settings. It directs saving a session_id returned from the API (reasonable for session management) but does not specify persistent writes to other skills or system-wide settings. Because it will upload user data to an external service and may inspect install path to set headers, users should be aware of the operational footprint.
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-app
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /highlight-editor-app 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
Highlight Editor App 1.0.0 — Initial Release - Instantly extract and export video highlights from long recordings by simply describing what you want. - Automatic API setup with secure token generation for anonymous or authenticated use. - Upload video files (up to 500MB), describe highlight selections, and receive 1080p MP4 highlight reels within minutes. - Supports credits and session state management, including real-time cloud-based rendering on GPU nodes. - Clear error handling for common file and session issues; actionable user guidance provided. - Flexible input routing: prompts for export, credits, uploads, and edits are mapped to matching workflows.
元数据
Slug highlight-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

Highlight Editor App 是什么?

Turn a 2-hour sports game recording into 1080p highlight reel clips just by typing what you need. Whether it's generating short highlight reels from long vid... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 53 次。

如何安装 Highlight Editor App?

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

Highlight Editor App 是免费的吗?

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

Highlight Editor App 支持哪些平台?

Highlight 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 Highlight Editor App?

由 linmillsd7(@linmillsd7)开发并维护,当前版本 v1.0.0。

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