Instagram Editor

Skip the learning curve of professional editing software. Describe what you want — crop to 9:16, add trending captions, and trim to under 60 seconds for Inst...

Security Scan

The skill's requirements and runtime instructions largely match an online video-editing integration, but provenance gaps and a small metadata/instruction mismatch (and the fact it will upload your videos and use a bearer token to an external API) mean you should verify the remote service before using it.

Purpose & Capability

The skill claims to perform cloud-based Instagram-format video edits and the SKILL.md shows exactly that (session creation, upload, render). Requesting a single service token (NEMO_TOKEN) is proportionate. However the registry summary lists no config paths while the skill's own YAML frontmatter declares a config path (~/.config/nemovideo/), an inconsistency in metadata/provenance.

Instruction Scope

Instructions direct the agent to call an external API (mega-api-prod.nemovideo.ai), create anonymous tokens, upload large media (up to 500MB), open SSE streams, poll render status, and derive an X-Skill-Platform header from the agent's install path. All of these are coherent with a cloud render pipeline, but they involve network I/O and (potentially) reading install/config paths — verify you are comfortable sending content and that the agent will not leak other local data.

Install Mechanism

Instruction-only skill with no install spec or code files — minimal install risk (nothing written to disk by an installer).

Credentials

Only NEMO_TOKEN is required which fits a remote API service. Still: the skill will use that token as a Bearer credential for all requests to the third-party API and may request/regenerate anonymous tokens. Confirm that NEMO_TOKEN is scoped appropriately and that you trust the remote service before providing it. Also note the SKILL.md frontmatter includes a config path (~/.config/nemovideo/) that was not listed in the top-level summary — unclear whether the skill will read or write that directory.

Persistence & Privilege

always:false and normal model invocation; the skill instructs saving session_id but does not request permanent system-wide privileges or modifications. No evidence it alters other skills or global agent settings.

What to consider before installing

This skill appears to be a thin wrapper around a third-party cloud video-editing API (mega-api-prod.nemovideo.ai). Before installing or supplying credentials: 1) Confirm the service/provider (there's no homepage or owner info) and review its privacy/terms — uploaded videos will be sent to that API. 2) Use a limited or anonymous token where possible and revoke it after use; don't set long-lived high-privilege credentials as NEMO_TOKEN unless you trust the provider. 3) Note the SKILL.md references ~/.config/nemovideo/ and reads the agent install path for X-Skill-Platform headers — make sure you are comfortable with those filesystem reads. 4) If provenance is unclear, test with non-sensitive sample videos first and monitor network calls; ask the publisher for a homepage or docs if you need stronger assurance.

Getting Started

Got video clips to work with? Send it over and tell me what you need — I'll take care of the AI Instagram formatting.

Try saying:

• "edit a 2-minute landscape video recorded on a phone into a 1080p MP4"
• "crop to 9:16, add trending captions, and trim to under 60 seconds for Instagram Reels"
• "reformatting and editing videos to fit Instagram Reels or Stories for Instagram 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.

Instagram Editor — Edit and Export Instagram Videos

This tool takes your video clips and runs AI Instagram formatting through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 2-minute landscape video recorded on a phone and want to crop to 9:16, add trending captions, and trim to under 60 seconds for Instagram Reels — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: vertical 9:16 video works best for Reels and Stories without any cropping needed.

Matching Input to Actions

User prompts referencing instagram editor, 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.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint	Method	Purpose
/api/tasks/me/with-session/nemo_agent	POST	Start a new editing session. Body: {"task_name":"project","language":"<lang>"}. Returns session_id.
/run_sse	POST	Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/<sid>	POST	Upload a file (multipart) or URL.
/api/credits/balance/simple	GET	Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/<sid>/latest	GET	Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda	POST	Start export. Body: {"id":"render_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: 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 instagram-editor, 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 <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

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=<id> (get <id> 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

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.

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 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 "crop to 9:16, add trending captions, and trim to under 60 seconds 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 for widest compatibility across Instagram and other platforms.

Common Workflows

Quick edit: Upload → "crop to 9:16, add trending captions, and trim to under 60 seconds 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.