Ai Video Generator Free Malayalam

Get Malayalam AI videos ready to post, without touching a single slider. Upload your text or script (MP4, MOV, AVI, WebM, up to 500MB), say something like "g...

Security Scan

The skill's requirements and runtime instructions are consistent with a cloud-based Malayalam video generator; no unrelated credentials or installers are requested, but it will call an external API and attach attribution headers that could leak local install metadata and it stores short-lived tokens/sessions.

Purpose & Capability

The skill declares a single credential (NEMO_TOKEN) and describes calling a nemo-video cloud API to create/render videos — this aligns with the stated purpose. The config path (~/.config/nemovideo/) and session/token usage are reasonable for a cloud rendering client.

Instruction Scope

Instructions are focused on authenticating, creating a session, uploading media, streaming edits, and starting exports to the listed API endpoints. However the skill requires adding attribution headers (X-Skill-Source, X-Skill-Version, X-Skill-Platform) and instructs the agent to detect the install path to set X-Skill-Platform, which can reveal local install paths or environment details to the remote service. The runtime also instructs generating and storing anonymous tokens/session IDs locally, which is expected but worth noting as stored secrets.

Install Mechanism

No install specification or external downloads — this is an instruction-only skill, so nothing is written to disk by an installer. That minimizes code-install risk.

Credentials

Only NEMO_TOKEN is requested as an env var (declared primary credential), which is proportional to calling the nemo API. The skill also references a local config path and will create/refresh anonymous tokens if NEMO_TOKEN is missing; this behavior is consistent with its function but means tokens may be created/stored automatically.

Persistence & Privilege

always is false and the skill does not request system-wide privileges or attempt to modify other skills. It will persist session IDs/tokens (normal for a client), but does not demand permanent platform presence.

Assessment

This skill appears to do what it says: talk to nemo-video cloud endpoints to render Malayalam videos. Before installing, consider: (1) the skill will call https://mega-api-prod.nemovideo.ai and include attribution headers — those headers can leak your local install path/platform info; (2) it will create and store short-lived anonymous tokens if you don't provide a token, so review or clean ~/.config/nemovideo/ if you care about local secrets; (3) only provide a NEMO_TOKEN you trust — prefer a throwaway or limited-scope token if possible; (4) verify the API domain and service legitimacy if you need stronger assurance. If you want to reduce exposure, use anonymous tokens (they expire) or avoid exposing local paths in headers by editing the skill or asking the maintainer to stop including install-path-based headers.

Getting Started

Share your text or script and I'll get started on AI Malayalam video creation. Or just tell me what you're thinking.

Try saying:

• "generate my text or script"
• "export 1080p MP4"
• "generate a video with Malayalam voiceover"

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.

AI Video Generator Free Malayalam — Generate Malayalam Videos with AI

This tool takes your text or script and runs AI Malayalam video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 200-word Malayalam script about a local festival and want to generate a video with Malayalam voiceover and matching visuals — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: shorter scripts under 100 words produce faster results with more accurate Malayalam pronunciation.

Matching Input to Actions

User prompts referencing ai video generator free malayalam, 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 ai-video-generator-free-malayalam, 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).

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

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

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 JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

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 "generate a video with Malayalam voiceover and matching visuals" — 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 Malayalam social media platforms.

Common Workflows

Quick edit: Upload → "generate a video with Malayalam voiceover and matching visuals" → 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.