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Video Editor Instagram Ai

v1.0.0

edit video clips into Instagram-ready clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. Instagram creators use it for editing and refo...

0· 65·0 current·0 all-time
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/video-editor-instagram-ai.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Video Editor Instagram Ai" (peand-rover/video-editor-instagram-ai) from ClawHub.
Skill page: https://clawhub.ai/peand-rover/video-editor-instagram-ai
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 video-editor-instagram-ai

ClawHub CLI

Package manager switcher

npx clawhub@latest install video-editor-instagram-ai
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Suspicious
medium confidence
Purpose & Capability
Name/description match the instructions: the skill talks to a remote video-processing backend (nemovideo.ai) and uploads video files for editing. Requesting a NEMO_TOKEN as the primary credential is consistent with a cloud API integration. However, the SKILL.md also documents an anonymous-token flow that obtains a NEMO_TOKEN automatically if none is present — this conflicts with the registry metadata that declares NEMO_TOKEN required (primaryEnv). Also the frontmatter metadata mentions a config path (~/.config/nemovideo/) that the registry listing did not mark as a required config path.
!
Instruction Scope
Runtime instructions tell the agent to: look for NEMO_TOKEN, if absent POST to https://mega-api-prod.nemovideo.ai to create an anonymous token, create sessions, upload user files (multipart or by URL), stream SSE requests, poll render endpoints, and return download URLs. These are coherent for a cloud editor, but the skill also requires adding attribution headers that include an auto-detected X-Skill-Platform value derived from the install path — that implies the agent may need to read install/agent path info (filesystem or environment). The SKILL.md references a config directory in its metadata; it's not explicit whether the agent must read that path, but the combination suggests potential filesystem reads beyond just handling user-uploaded video files. The instructions also instruct not to expose tokens, but they do create and store tokens/session IDs which are sensitive.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. All network calls happen at runtime to the documented nemovideo.ai endpoints; nothing is downloaded or written by an installer step.
Credentials
Only one credential (NEMO_TOKEN) is declared as required, which is proportionate for a cloud video API. But the SKILL.md documents an anonymous-token acquisition flow (POST to /api/auth/anonymous-token) so a preexisting token may not actually be necessary. The frontmatter's configPaths (~/.config/nemovideo/) suggests potential access to a user config directory that is not otherwise explained — this should be clarified. No other unrelated secrets are requested.
Persistence & Privilege
always:false and the skill is user-invocable; it does not request permanent platform-wide privileges. The skill will create and use session tokens at runtime, but there is no install-time persistence or modification of other skills/configs described.
Scan Findings in Context
[NO_CODE_FILES] expected: The skill is instruction-only and the regex scanner had no code files to analyze. This is expected for a pure-instructions skill, but it means the security surface is the SKILL.md text (network calls, token handling, file uploads).
What to consider before installing
This skill appears to do what it says — upload your video and call a cloud API for editing — but review a few things before installing: 1) Confirm you trust the endpoint host (mega-api-prod.nemovideo.ai) and its privacy/billing policies because user videos will be uploaded to that third party. 2) Clarify the NEMO_TOKEN requirement: the skill claims NEMO_TOKEN is required but also documents an anonymous-token flow that will mint a token for you; ask the author which behavior applies and whether the created token is stored or logged. 3) Ask why the frontmatter mentions ~/.config/nemovideo/ and whether the skill will read files from your home directory or agent install path (used to set X-Skill-Platform). If you are uncomfortable with filesystem access, request the author to remove or document that requirement. 4) The skill will make outbound network calls and upload files; do not provide sensitive or private video content until you verify the service terms. If you need higher assurance, request source code or a trustworthy homepage and a clear privacy/retention policy from the publisher.

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

Runtime requirements

📱 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk974td5jqvftd8fbfzqvz8etvd84y33b
65downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0

Getting Started

Ready when you are. Drop your video clips here or describe what you want to make.

Try saying:

  • "edit a 60-second vertical phone recording into a 1080p MP4"
  • "reformat to 9:16, add trending captions, and trim pauses for Instagram Reels"
  • "editing and reformatting videos for Instagram Reels for Instagram creators"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Video Editor Instagram AI — Edit Videos for Instagram Reels

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

Here's a typical use: you send a a 60-second vertical phone recording, ask for reformat to 9:16, add trending captions, and trim pauses for Instagram Reels, and about 30-60 seconds later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — vertical 9:16 video works best for Reels and Stories output.

Matching Input to Actions

User prompts referencing video editor instagram ai, 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.

Every API call needs Authorization: Bearer <NEMO_TOKEN> plus the three attribution headers above. If any header is missing, exports return 402.

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

HeaderValue
X-Skill-Sourcevideo-editor-instagram-ai
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 "reformat to 9:16, add trending captions, and trim pauses for Instagram Reels" — 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 best Instagram upload compatibility.

Common Workflows

Quick edit: Upload → "reformat to 9:16, add trending captions, and trim pauses for Instagram Reels" → Download MP4. Takes 30-60 seconds 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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