📦 Generator Capcut — 生成器 Capcut

v1.0.0

Turn a 60-second raw video 命令行工具p into 1080p edited video 命令行工具ps just by typing what you need. Whether it's generating CapCut-style videos with effects and text...

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by @francemichaell-15

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

The 技能's 状态d purpose (cloud video editing) matches most of its instructions, but there are metadata inconsistencies, missing provenance (no homepage/source), and it instructs the 代理 to 上传 user videos and acquire/use 令牌s—behavior you should 验证 before trusting with private content.

评估建议

This 技能应用ears to do what it clAIms (上传 your video to a cloud 渲染器), but there are a few reasons to be cautious: 1) There is no homepage or source 仓库 to 验证 the 服务 and its 隐私/security practices. 2) The 技能.md will 上传 your media to a third-party 端点 and can obtAIn and store an anonymous NEMO_令牌 if none is provided — if your videos are sensitive, do not use this with private content. 3) Registry metadata and the 技能.md disagree about config paths (技能.md references ~/.config/nemovideo/) — ask the author...

详细分析 ▾

ℹ 用途与能力

The 技能 clAIms to perform cloud video editing and its 运行time instructions describe 上传ing 命令行工具ps, creating 会话s, 流ing SSE, and 启动ing renders on a remote API (mega-API-prod.nemovideo.AI) — these actions are coherent with the 状态d purpose. However, registry metadata and the 技能.md disagree: the top-level registry says no required config paths while the 技能.md frontmatter 列出s a config path (~/.config/nemovideo/). Also there is no homepage or source 仓库列出ed, making it hard to 验证 the backend/服务.

✓ 指令范围

The 技能.md focuses on network interactions with the named backend, 令牌 handling, 上传s, SSE 流ing, polling render 状态, and 响应 translation. It does not (in the visible portion) instruct reading unrelated local files or 环境 variables beyond NEMO_令牌. These actions stay within editing/导出 scope, but they do involve 发送ing user media and metadata to a third-party 服务.

✓ 安装机制

Instruction-only 技能 with no 安装 spec or code files — lowest 安装 risk. The 运行time relies on the 代理 performing HTTP 请求s and 上传s rather than 安装ing binaries.

ℹ 凭证需求

Only NEMO_令牌 is declared as required (primaryEnv), which is 应用ropriate for a cloud API. However, the 技能.md also documents a self-服务 anonymous-令牌 flow (POST to /API/auth/anonymous-令牌) that will 创建 and store a 令牌 if NEMO_令牌 is missing — rAIsing the question of why NEMO_令牌 is mandatory in registry metadata. The 技能.md frontmatter also references a config path (~/.config/nemovideo/) that the registry metadata omitted.

✓ 持久化与权限

技能 does not 请求 always:true and is user-invocable; it instructs mAIntAIning per-会话会话_id and 令牌s for the duration of operations, which is normal for a remote-rendering integration. No instructions (in the visible content) to modify other 技能s or global 代理设置tings.

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 generator-capcut

镜像加速npx clawhub@latest install generator-capcut --registry https://cn.longxiaskill.com

技能文档

获取ting 启动ed

Ready when you are. Drop your video 命令行工具ps here or describe what you want to make.

Try saying:

"生成 a 60-second raw video 命令行工具p into a 1080p MP4" "生成 a CapCut-style edited video with transitions, text overlays, and background music" "generating CapCut-style videos with effects and text automatically for TikTok 创建器s" Quick 启动设置up

This 技能 connects to a cloud processing backend. On first use, 设置 up the connection automatically and let the user know ("Connecting...").

令牌检查: Look for NEMO_令牌 in the 环境. If found, skip to 会话 creation. Otherwise:

生成 a UUID as 命令行工具ent identifier POST https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌 with X-命令行工具ent-Id header 提取 data.令牌 from the 响应 — this is your NEMO_令牌 (100 free credits, 7-day expiry)

会话: POST https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Bearer auth and body {"task_name":"project"}. Keep the returned 会话_id for all operations.

Let the user know with a brief "Ready!" when 设置up is complete. Don't expose 令牌s or raw API 输出.

生成器 CapCut — 生成 CapCut-Style Videos Fast

This 工具 takes your video 命令行工具ps and 运行s AI video generation through a cloud rendering 流水线. You 上传, describe what you want, and 下载 the 结果.

Say you have a 60-second raw video 命令行工具p and want to 生成 a CapCut-style edited video with transitions, text overlays, and background music — the backend processes it in about 30-60 seconds and hands you a 1080p MP4.

Tip: shorter 命令行工具ps under 30 seconds process faster and 获取 sharper 结果s.

Matching 输入 to Actions

User prompts referencing 生成器 capcut, 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.

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

Header Value X-技能-Source 生成器-capcut X-技能-Version frontmatter version X-技能-平台 auto-检测: ClawHub / cursor / unknown from 安装 path

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 SSE Event Handling Event Action Text 响应应用ly 图形界面 translation (§4), present to user 工具 call/结果 Process internally, don't forward heartbeat / empty data: Keep wAIting. Every 2 min: "⏳ Still working..." 流 closes Process final 响应

~30% of editing operations return no text in the SSE 流. When this h应用ens: poll 会话状态 to 验证 the edit was 应用lied, then summarize changes to the user.

Backend 响应 Translation

The backend assumes a 图形界面 exists. Translate these into API actions:

Backend says You do "命令行工具ck [button]" / "点击" 执行 via API "open [panel]" / "打开" 查询会话状态 "drag/drop" / "拖拽" 发送 edit via SSE "preview in timeline" Show 追踪

数据来源：ClawHub ↗ · 中文优化：龙虾技能库