Video Audio Replace Free

Turn a 2-minute interview clip with background noise into 1080p re-dubbed video files just by typing what you need. Whether it's swapping bad or unwanted aud...

Security Scan

The skill's requests and runtime instructions are consistent with a cloud-based video/audio replacement service: it asks for a single service token, uploads user media to the described API, and has no install or unrelated credential requests.

Purpose & Capability

Name and description (video/audio replacement, cloud render) align with the declared primaryEnv (NEMO_TOKEN) and the SKILL.md instructions to create sessions, upload media, and start renders. One minor inconsistency: the registry metadata lists no required config paths, but the SKILL.md frontmatter references ~/.config/nemovideo/; this is plausibly informational but should be clarified.

Instruction Scope

Instructions focus on connecting to mega-api-prod.nemovideo.ai, creating sessions, uploading files, streaming SSE, polling render status, and returning download URLs. They explicitly instruct uploading user media and using Authorization headers for the service — all expected. The skill does not instruct reading unrelated local files or other environment variables.

Install Mechanism

No install spec and no code files — instruction-only skill. This reduces disk/write risk; the only runtime action is network calls to the documented backend endpoints.

Credentials

Only a single service credential (NEMO_TOKEN) is required, which is proportional to a cloud render API. The SKILL.md also describes a legitimate anonymous-token fallback if the env var is absent. No unrelated SECRET/TOKEN/PASSWORD variables are requested.

Persistence & Privilege

always is false (not force-included). The skill does not request persistent system privileges, nor does it instruct modifying other skills or system-wide settings.

Assessment

This skill appears coherent for a cloud-based video/audio replacement service, but it will upload any media you provide to https://mega-api-prod.nemovideo.ai and may use an anonymous token if you don't supply NEMO_TOKEN. Before installing or using it: (1) confirm you trust the nemovideo.ai domain and understand their privacy/retention policy for uploaded media; (2) avoid uploading highly sensitive content unless you control or trust the service; (3) if providing a long-lived NEMO_TOKEN, treat it like a password (rotate/revoke if compromised); (4) ask the author to clarify the config path discrepancy (~/.config/nemovideo/) and to provide a homepage or privacy/details for the backend if you need stronger assurance.

Getting Started

Share your video with audio and I'll get started on AI audio replacement. Or just tell me what you're thinking.

Try saying:

• "replace my video with audio"
• "export 1080p MP4"
• "replace the original audio track with"

Getting Connected

Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".

If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:

• Generate a UUID as client identifier
• POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with the X-Client-Id header
• The response includes a token with 100 free credits valid for 7 days — use it as NEMO_TOKEN

Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.

Tell the user you're ready. Keep the technical details out of the chat.

Video Audio Replace Free — Replace Audio Track in Videos

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

Say you have a 2-minute interview clip with background noise and want to replace the original audio track with this clean voiceover file — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: mute the original track first before replacing to avoid audio bleed.

Matching Input to Actions

User prompts referencing video audio replace free, 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 video-audio-replace-free, 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 Codes

• 0 — success, continue normally
• 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
• 1002 — session not found; create a new one
• 2001 — out of credits; anonymous users get a registration link with ?bind=<id>, registered users top up
• 4001 — unsupported file type; show accepted formats
• 4002 — file too large; suggest compressing or trimming
• 400 — missing X-Client-Id; generate one and retry
• 402 — free plan export blocked; not a credit issue, subscription tier
• 429 — rate limited; wait 30s and retry 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.

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 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)

Common Workflows

Quick edit: Upload → "replace the original audio track with this clean voiceover file" → 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.

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "replace the original audio track with this clean voiceover file" — 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 the best balance of quality and file size.