Editor Highlight Cover

v1.0.0

Skip the learning curve of professional editing software. Describe what you want — extract the best moments and generate a highlight cover video — and get hi...

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bypeandrover adam@peand-rover

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for peand-rover/editor-highlight-cover.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Editor Highlight Cover" (peand-rover/editor-highlight-cover) from ClawHub.
Skill page: https://clawhub.ai/peand-rover/editor-highlight-cover
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install editor-highlight-cover

ClawHub CLI

Package manager switcher

npx clawhub@latest install editor-highlight-cover
Security Scan
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medium confidence
Purpose & Capability
The skill is a cloud video highlight/cover generator and requests a single service token (NEMO_TOKEN) and network access to nemovideo API endpoints — these are proportionate to the described purpose. It also specifies required request headers and session handling appropriate for a remote render service.
Instruction Scope
SKILL.md instructs the agent to upload user video files or URLs, create sessions, poll SSE endpoints, and store session_id; this fits the declared functionality. Note: it asks to auto-detect 'install path' to set X-Skill-Platform which may require reading agent environment/paths (not explicit in requirements) — that's an implementation detail to confirm.
Install Mechanism
No install spec or code is included (instruction-only), so nothing is written to disk by default; this is low-risk and consistent with a cloud API integration.
Credentials
Only NEMO_TOKEN is required as the primary credential, which is appropriate. However, SKILL.md frontmatter metadata references a config path (~/.config/nemovideo/) while the top-level registry summary listed no required config paths — this mismatch should be clarified (why the skill might need access to that config folder).
Persistence & Privilege
The skill is not always-enabled and does not request elevated system privileges. It instructs the agent to save session_id and reuse tokens which is normal for API sessions and does not modify other skills or system-wide settings.
Assessment
This skill will upload your video files to a third-party service (mega-api-prod.nemovideo.ai) and uses a service token (NEMO_TOKEN) or an anonymous token it can mint for 7-day access. Before installing: (1) confirm you trust nemovideo.ai and the domain shown; (2) understand that any uploaded video and metadata will leave your machine and be processed by their cloud; (3) prefer providing your own NEMO_TOKEN rather than relying on anonymous tokens if you want account control; (4) ask the publisher to clarify the config-path reference (~/.config/nemovideo/) because the registry summary and SKILL.md disagree; and (5) avoid sending sensitive or private footage unless you accept the service's privacy/retention policy. If you want higher assurance, request the skill author to explain where session data is stored and exactly when/if tokens are persisted or logged.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk976m1acqhe2ev7j7ncpvqy6qs84wh6r
67downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Getting Started

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

Try saying:

  • "generate a 10-minute gameplay or event recording into a 1080p MP4"
  • "extract the best moments and generate a highlight cover video"
  • "creating highlight cover videos from longer recordings 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: <uuid>. 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 Highlight Cover — Create Highlight Cover Videos Fast

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

A quick example: upload a 10-minute gameplay or event recording, type "extract the best moments and generate a highlight cover video", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.

Worth noting: shorter source clips help the AI identify highlights more accurately.

Matching Input to Actions

User prompts referencing editor highlight cover, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip 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.

Include Authorization: Bearer <NEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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

HeaderValue
X-Skill-Sourceeditor-highlight-cover
X-Skill-Versionfrontmatter version
X-Skill-Platformauto-detect: clawhub / cursor / unknown from install path

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"<lang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"<sid>","new_message":{"parts":[{"text":"<msg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/<sid> — file: multipart -F "files=@/path", or URL: {"urls":["<url>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/<sid>/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_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> 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.

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou 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

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess 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.

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 "extract the best moments and generate a highlight cover video" — 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.

Common Workflows

Quick edit: Upload → "extract the best moments and generate a highlight cover video" → 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.

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