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Ai Audio Editor

作者 peandrover adam · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install ai-audio-editor
功能描述
podcasters, YouTubers, content creators edit video or audio files into clean audio videos using this skill. Accepts MP4, MOV, AVI, WAV up to 500MB, renders o...
使用说明 (SKILL.md)

Getting Started

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

Try saying:

  • "edit my video or audio files"
  • "export 1080p MP4"
  • "remove background noise, boost voice clarity,"

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.

AI Audio Editor — Edit and Export Clean Audio

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

Here's a typical use: you send a a 3-minute interview video with background noise, ask for remove background noise, boost voice clarity, and normalize audio levels, 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 — shorter clips with isolated voice tracks produce the cleanest results.

Matching Input to Actions

User prompts referencing ai audio 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.

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

Header Value
X-Skill-Source ai-audio-editor
X-Skill-Version frontmatter version
X-Skill-Platform auto-detect: clawhub / cursor / unknown from install path

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/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_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> 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.

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)

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=\x3Cid> (get \x3Cid> 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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "remove background noise, boost voice clarity, and normalize audio levels" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WAV for the smoothest experience.

Export as MP4 to keep video and enhanced audio bundled in one file.

Common Workflows

Quick edit: Upload → "remove background noise, boost voice clarity, and normalize audio levels" → 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.

安全使用建议
This skill appears to do what it says: it uploads media you provide to the nemovideo.ai backend and returns edited video files using a NEMO_TOKEN or a short-lived anonymous token it can fetch. Before installing/using: 1) Note the publisher and homepage are missing — consider whether you trust the external service (mega-api-prod.nemovideo.ai). 2) Don’t provide files you consider highly sensitive (private keys, documents) — the skill uploads any media you give it. 3) If you already have a NEMO_TOKEN, prefer supplying it so the skill uses your account rather than creating an anonymous token. 4) Ask the publisher for provenance (homepage, privacy policy, data retention) and clarification about the config path / install-path auto-detection if you need higher assurance.
功能分析
Type: OpenClaw Skill Name: ai-audio-editor Version: 1.0.0 The skill facilitates AI-driven audio and video editing by interfacing with a cloud-based backend at nemovideo.ai. It includes standard procedures for session management, file uploads, and asynchronous rendering, with clear instructions for the agent to handle authentication tokens and API errors gracefully. No indicators of data exfiltration, malicious execution, or harmful prompt injection were identified.
能力评估
Purpose & Capability
The skill name/description (AI audio editing) aligns with the behavior in SKILL.md: it connects to a cloud render backend, uploads media, creates sessions, and requests renders. Requiring a NEMO_TOKEN is appropriate. However, the SKILL.md frontmatter references a config path (~/.config/nemovideo/) while the registry metadata earlier stated no required config paths — that mismatch is unexplained. The skill has no homepage or publisher info, which reduces provenance confidence.
Instruction Scope
Runtime instructions are narrowly focused on session creation, SSE messaging, file upload, job polling, and export — all relevant to a cloud audio/video editor. The skill instructs creating an anonymous token if NEMO_TOKEN is absent, and uploading only user-supplied files or URLs. It does not direct the agent to read unrelated system files or other environment variables. One small ambiguity: the header X-Skill-Platform is to be 'auto-detect[ed] from install path', which could imply a filesystem check; the instructions do not explicitly require broad file reads, however.
Install Mechanism
No install spec and no code files (instruction-only) — lowest install risk. All operations are network calls described in SKILL.md; nothing is downloaded or extracted by an installer.
Credentials
Only a single credential (NEMO_TOKEN) is declared as required and used; the SKILL.md also describes obtaining a short-lived anonymous token if NEMO_TOKEN is missing. No unrelated credentials or broad system secrets are requested. This is proportionate to the stated cloud-backend purpose.
Persistence & Privilege
The skill is not flagged always:true and does not request modifying other skills or global agent settings. It will create sessions and perform network calls under normal autonomous invocation, which is expected for this kind of skill.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install ai-audio-editor
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /ai-audio-editor 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
- Initial release of AI Audio Editor skill. - Upload and edit audio or video files (MP4, MOV, AVI, WAV; up to 500MB). - Easily remove background noise, boost voice clarity, and export clean audio-video as MP4. - Cloud GPU processing delivers 1080p output in about 30–60 seconds. - Automatic anonymous authentication and session management; 100 free credits on signup. - Full error handling, batch processing, and timeline-based editing supported.
元数据
Slug ai-audio-editor
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ai Audio Editor 是什么?

podcasters, YouTubers, content creators edit video or audio files into clean audio videos using this skill. Accepts MP4, MOV, AVI, WAV up to 500MB, renders o... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 106 次。

如何安装 Ai Audio Editor?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install ai-audio-editor」即可一键安装,无需额外配置。

Ai Audio Editor 是免费的吗?

是的,Ai Audio Editor 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ai Audio Editor 支持哪些平台?

Ai Audio Editor 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ai Audio Editor?

由 peandrover adam(@peand-rover)开发并维护,当前版本 v1.0.0。

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