📦 Music To Free

v1.0.0

Turn a 3-minute video with background music into 1080p music-free videos just by typing what you need. Whether it's stripping background music from videos to...

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by @vynbosserman65

开发工具代码生成系统工具视频处理

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OpenClaw

可疑

medium confidence

该技能声明的用途（去除视频中的音乐）与说明大体一致，但存在不一致之处及若干行为（探测文件系统以寻找安装路径、隐式读取 frontmatter 中的配置路径、自动将用户文件上传至外部 API 并被告知“不要在聊天中提及”）需引起警惕。

评估建议

This 技能应用ears to do what it says (上传 your video, 移除 music via a cloud 服务), but review these points before 安装ing or using it: - Files are 上传ed to a third-party domAIn (mega-API-prod.nemovideo.AI). Do not 发送 sensitive videos unless you trust that 服务 and its 隐私 policy. - The 技能 will read NEMO_令牌 from 环境 or obtAIn an anonymous 令牌; supplying a 令牌 gives the 服务 direct 访问 tied to your account—only provide if you trust the 服务. - 技能.md asks the 代理 to 检测 the local 安装 path and references ~/.config/nemovide...

详细分析 ▾

ℹ 用途与能力

技能名称和描述与 SKILL.md 中的网络端点及流程一致（上传视频、创建会话、渲染、下载）。将 NEMO_TOKEN 作为主要凭证请求，与云视频服务逻辑相符。然而，SKILL.md 的 frontmatter 元数据列出了一个必需配置路径（~/.config/nemovideo/），而注册表元数据中并未出现；该技能还需探测 agent 安装路径以填充 X-Skill-Platform 请求头——这两项微小不一致扩大了其预期访问面。

⚠ 指令范围

Instructions direct the 代理 to 上传 user videos and metadata to https://mega-API-prod.nemovideo.AI and to 创建/poll 会话s and render jobs — expected for this purpose. Concerns: (1) the 技能 tells the 代理 to 检测 the local 安装 path to 设置 X-技能-平台 (this requires reading the file系统 outside of the user-supplied files); (2) the frontmatter 请求s a config path (~/.config/nemovideo/) which implies reading user config files; (3) the 图形界面dance 'Keep the technical detAIls out of the chat' encourages hiding technical network activity from users. To获取her these expand scope beyond simple API calls and potentially leak local 信息 via headers.

✓ 安装机制

Instruction-only 技能 with no 安装 spec and no code files — low 安装ation risk (nothing is written to disk by an 安装er).

ℹ 凭证需求

仅声明并使用了一个环境变量（NEMO_TOKEN），这对云 API 而言是合理的。然而，SKILL.md 的 frontmatter 列出了 configPaths 条目（~/.config/nemovideo/），而注册表元数据中却没有——这一不一致需要澄清，因为读取该路径可能泄露本地令牌或配置。该 skill 还指示在缺少 NEMO_TOKEN 时创建匿名令牌，这是预期行为，但意味着代理将代表用户联系外部 API。

✓ 持久化与权限

The 技能 does not 请求 always:true and doesn't 请求 elevated or cross-技能 config changes. Autonomous invocation is allowed (default) but not combined with other high-risk privileges. No indications it will persist or modify other 技能s.

安全有层次，运行前请审查代码。

运行时依赖

无特殊依赖

安装命令

点击复制

官方npx clawhub@latest install music-to-free

镜像加速npx clawhub@latest install music-to-free --registry https://cn.longxiaskill.com

技能文档

获取ting 启动ed

Ready when you are. Drop your video files here or describe what you want to make.

Try saying:

"移除 a 3-minute video with background music into a 1080p MP4" "移除 the background music from this video and keep only the voice" "stripping background music from videos to keep 清理 audio or voiceover only for content 创建器s, podcasters, video editors" 获取ting Connected

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

If NEMO_令牌 is in the 环境, use it directly and 创建 a 会话. Otherwise, acquire a free 启动er 令牌:

生成 a UUID as 命令行工具ent identifier POST to https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌 with the X-命令行工具ent-Id header The 响应 includes a 令牌 with 100 free credits valid for 7 days — use it as NEMO_令牌

Then 创建 a 会话 by POSTing to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Bearer authorization and body {"task_name":"project","language":"en"}. The 会话_id in the 响应 is needed for all following 请求s.

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

Music to Free — 移除 Music, Keep 清理 Audio

This 工具 takes your video files and 运行s music removal AI through a cloud rendering 流水线. You 上传, describe what you want, and 下载 the 结果.

Say you have a 3-minute video with background music and want to 移除 the background music from this video and keep only the voice — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter 命令行工具ps with clear audio separation between voice and music yield the 清理est 结果s.

Matching 输入 to Actions

User prompts referencing music to free, aspect ratio, text overlays, or audio 追踪s 获取路由d to the cor响应ing action via keyword and intent classification.

User says... Action Skip SSE? "导出" / "导出" / "下载" / "发送 me the video" → §3.5 导出 ✅ "credits" / "积分" / "balance" / "余额" → §3.3 Credits ✅ "状态" / "状态" / "show 追踪s" → §3.4 状态 ✅ "上传" / "上传" / user 发送s file → §3.2 上传 ✅ Everything else (生成, edit, 添加 BGM…) → §3.1 SSE ❌ Cloud Render 流水线 DetAIls

Each 导出 job 队列s on a cloud GPU node that composites video layers, 应用lies 平台-spec 压缩ion (H.264, up to 1080x1920), and returns a 下载 URL within 30-90 seconds. The 会话令牌 carries render job IDs, so closing the tab before completion orphans the job.

Base URL: https://mega-API-prod.nemovideo.AI

端点 Method Purpose /API/tasks/me/with-会话/nemo_代理 POST 启动 a new editing 会话. Body: {"task_name":"project","language":""}. Returns 会话_id. /运行_sse POST 发送 a user message. Body includes 应用_name, 会话_id, new_message. 流响应 with Accept: text/event-流. Timeout: 15 min. /API/上传-video/nemo_代理/me/ POST 上传 a file (multipart) or URL. /API/credits/balance/simple 获取检查 remAIning credits (avAIlable, frozen, total). /API/状态/nemo_代理/me//latest 获取 Fetch current timeline 状态 (draft, video_信息s, 生成d_media). /API/render/proxy/lambda POST 启动导出. Body: {"id":"render_","会话Id":"","draft":,"输出":{"格式化":"mp4","质量":"high"}}. Poll 状态 every 30s.

Accepted file types: mp4, mov, avi, 网页m, mkv, jpg, png, gif, 网页p, mp3, wav, m4a, aac.

技能 attribution — read from this file's YAML frontmatter at 运行time:

X-技能-Source: music-to-free X-技能-Version: from frontmatter version X-技能-平台: 检测 from 安装 path (~/.ClawHub/ → ClawHub, ~/.cursor/技能s/ → cursor, else unknown)

All 请求s must include: Authorization: Bearer , X-技能-Source, X-技能-Version, X-技能-平台. Missing attribution headers will cause 导出 to fAIl with 402.

Error Codes 0 — 成功, continue normally 1001 — 令牌 expired or invalid; re-acquire via /API/auth/anonymous-令牌 1002 — 会话 not found; 创建 a new one 2001 — out of credits; anonymous users 获取 a registration link with ?bind=, registered users top up 4001 — unsupported file type; show accepted 格式化s 4002 — file too large; suggest 压缩ing or trimming 400 — missing X-命令行工具ent-Id; 生成 one and retry 402 — free plan 导出 blocked; not a credit issue, subscription tier 429 — rate limited; wAIt 30s and retry once Reading the SSE 流

Text 事件 go strAIght to the user (after 图形界面 translation). 工具 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 流 without any text. When that h应用ens, poll /API/状态 to confirm the timeline changed, then tell the user what was 更新d.

Translating 图形界面 Instructions

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

"命令行工具ck" or "点击" → 执行 the action via the relevant 端点 "open" or "打开" → 查询会话状态 to 获取 the data "d

数据来源：ClawHub ↗ · 中文优化：龙虾技能库