Cartoon Free Professional

convert raw video footage into professional-style videos with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. marketers, business creators, cor...

Security Scan

The skill's requirements and runtime instructions are generally consistent with a video-processing connector to the nemo video API, but there are a few minor inconsistencies and a small privacy/operation detail you should review before use.

Purpose & Capability

The skill claims to convert cartoon/animated videos to professional-looking footage and requires a NEMO_TOKEN which matches the documented nemo API endpoints in SKILL.md. However, the registry metadata lists no required config paths while the SKILL.md frontmatter declares a config path (~/.config/nemovideo/); this mismatch should be resolved by the author but does not itself indicate malicious behavior.

Instruction Scope

Instructions direct the agent to call external endpoints (https://mega-api-prod.nemovideo.ai) to obtain tokens, create sessions, upload video files, poll renders, and stream SSE results — all expected for this purpose. However, the runtime instructions also ask the agent to detect the installation platform by checking install paths (e.g., ~/.clawhub/, ~/.cursor/skills/) to populate attribution headers; that requires inspecting the user's home filesystem and is not strictly necessary for core functionality. The skill also instructs saving a session_id and reusing/setting NEMO_TOKEN; ensure the agent stores these securely and does not leak tokens.

Install Mechanism

No install spec or code is included (instruction-only), so nothing will be downloaded or written by an installer. This minimizes supply-chain risk.

Credentials

Only one credential is declared (NEMO_TOKEN / primaryEnv), which aligns with calling the external nemo API. The skill also documents a fallback to generate an anonymous token via the API if no token is present — acceptable but means the skill can acquire a live credential itself. No unrelated secrets or system credentials are requested.

Persistence & Privilege

always is false and there is no install-time persistence or system configuration changes described. The skill asks to save a session_id for the API session (normal for remote job management) but does not request system-wide privileges or modification of other skills.

Assessment

This skill talks to an external service (mega-api-prod.nemovideo.ai) and will upload your video files and manage short-lived sessions/tokens. Before using it: 1) Confirm you trust nemo video’s privacy policy — videos will leave your machine. 2) Prefer the anonymous token flow if you don’t want to provide a long-lived NEMO_TOKEN; be aware the skill can request and store the returned token/session_id. 3) The skill asks the agent to detect install paths (~/.clawhub, ~/.cursor); if you’re uncomfortable with any filesystem probing, ask the author to remove or make that step optional (it’s only used for attribution headers). 4) Verify where session_id/tokens are stored by your agent (in-memory vs on-disk) and whether logs might include request/response bodies. 5) If you need stronger assurances, request the author to supply a privacy/security statement, or run the skill in an isolated environment (VM/container) before trusting production data.

Getting Started

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

Try saying:

• "convert my raw video footage"
• "export 1080p MP4"
• "convert this cartoon-style video into a"

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.

Cartoon Free Professional — Convert Cartoons to Professional Videos

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

Say you have a 60-second animated explainer video and want to convert this cartoon-style video into a clean, realistic professional look — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter clips under 30 seconds process faster and give more consistent style results.

Matching Input to Actions

User prompts referencing cartoon free professional, 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.

Skill attribution — read from this file's YAML frontmatter at runtime:

• X-Skill-Source: cartoon-free-professional
• X-Skill-Version: from frontmatter version
• X-Skill-Platform: detect from install path (~/.clawhub/ → clawhub, ~/.cursor/skills/ → cursor, else unknown)

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

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.

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.

Translating GUI Instructions

The backend responds as if there's a visual interface. Map its instructions to API calls:

• "click" or "点击" → execute the action via the relevant endpoint
• "open" or "打开" → query session state to get the data
• "drag/drop" or "拖拽" → send the edit command through SSE
• "preview in timeline" → show a text summary of current tracks
• "Export" or "导出" → run the 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)

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

Common Workflows

Quick edit: Upload → "convert this cartoon-style video into a clean, realistic professional look" → 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 "convert this cartoon-style video into a clean, realistic professional look" — 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 platforms and presentations.