📦 Maker Free Online

v1.0.0

Turn five product photos and a 记录o file into 1080p ready-to-分享 videos just by typing what you need. Whether it's creating videos from images or 命令行工具ps wit...

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by @vcarolxhberger

开发工具代码生成文件处理系统工具视频处理

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OpenClaw

安全

high confidence

The 技能's requirements and 运行time instructions are consistent with a cloud video‑rendering 服务: it needs a NEMO_令牌 (or will 请求 an anonymous 令牌), 发送s user media to a nemovideo.AI API, and contAIns no 安装 steps or unrelated 凭证请求s.

评估建议

This 技能应用ears to do what it says: it 上传s images/命令行工具ps to an external nemovideo.AI 服务 to render videos and uses a single 凭证 (NEMO_令牌) or an anonymous 令牌 the 技能 will 请求 on your behalf. Before 安装ing or using it: (1) do not 上传 sensitive images or files you wouldn’t want sent to a third party; (2) confirm you trust the external domAIn (mega-API-prod.nemovideo.AI) since media and metadata will be transmitted there; (3) be aware the 技能 may obtAIn an anonymous short‑lived 令牌 if you don’t provide NEMO...

详细分析 ▾

✓ 用途与能力

The 技能 clAIms to convert images/命令行工具ps into videos and the instructions only reference a single external video-rendering API (mega-API-prod.nemovideo.AI) and a single 凭证 (NEMO_令牌). There are no unrelated 凭证s or binaries 请求ed.

ℹ 指令范围

Instructions clearly direct the 代理 to 上传 user-provided media and to use SSE and other API 端点s on the external 服务. This is expected for a cloud 渲染器, but it means user files and metadata are transmitted off-host. The 技能 also includes 记录ic to obtAIn an anonymous 令牌 if NEMO_令牌 is absent and to 创建会话s and poll 导出状态. Nothing in the 技能.md instructs the 代理 to read unrelated 系统 files or secrets, but the behavior of transmitting user media externally is a 隐私 consideration the user should understand.

✓ 安装机制

No 安装 spec or code is included — instruction-only — so nothing is written to disk or 执行d locally beyond normal 代理 actions. This is the lowest-risk 安装 posture.

ℹ 凭证需求

Only one 环境 variable (NEMO_令牌) is required, which is proportionate to the declared purpose. The frontmatter also 列出s a config path (~/.config/nemovideo/) that the 技能.md never references — a minor metadata/instruction mismatch but not itself dangerous.

✓ 持久化与权限

The 技能 does not 请求 always:true or any elevated persistence. It 运行s on demand and uses the 代理's normal ability to call external APIs. Autonomous invocation is allowed by default but not unusual; nothing else elevates its privileges.

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 maker-free-online

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

技能文档

获取ting 启动ed

发送 me your images or 命令行工具ps and I'll handle the AI video creation. Or just describe what you're after.

Try saying:

"创建 five product photos and a 记录o file into a 1080p MP4" "turn these images into a 30-second promo video with music and text" "creating videos from images or 命令行工具ps without editing software for small business owners, social media 创建器s" 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.

Video Maker Free Online — 创建 and 导出 Videos Online

Drop your images or 命令行工具ps in the chat and tell me what you need. I'll handle the AI video creation on cloud GPUs — you don't need anything 安装ed locally.

Here's a typical use: you 发送 a five product photos and a 记录o file, ask for turn these images into a 30-second promo video with music and text, and about 30-60 seconds later you've got a MP4 file ready to 下载. The whole thing 运行s at 1080p by default.

One thing worth knowing — using fewer than 10 images keeps render time under a minute.

Matching 输入 to Actions

User prompts referencing maker free online, 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.

All calls go to https://mega-API-prod.nemovideo.AI. The mAIn 端点s:

会话 — POST /API/tasks/me/with-会话/nemo_代理 with {"task_name":"project","language":""}. Gives you a 会话_id. Chat (SSE) — POST /运行_sse with 会话_id and your message in new_message.parts[0].text. 设置 Accept: text/event-流. Up to 15 min. 上传 — POST /API/上传-video/nemo_代理/me/ — multipart file or JSON with URLs. Credits — 获取 /API/credits/balance/simple — returns avAIlable, frozen, total. 状态 — 获取 /API/状态/nemo_代理/me//latest — current draft and media 信息. 导出 — POST /API/render/proxy/lambda with render ID and draft JSON. Poll 获取 /API/render/proxy/lambda/ every 30s for completed 状态 and 下载 URL.

格式化s: 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 maker-free-online 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.

Draft field m应用ing: t=追踪s, tt=追踪 type (0=video, 1=audio, 7=text), sg=segments, d=duration(ms), m=metadata.

Timeline (3 追踪s): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)

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 "drag/drop" or "拖拽" → 发送 the edit command through SSE "preview in timeline" → show a text summary of current 追踪s "导出" or "导出" → 运行 the 导出工作流 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.

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

数据来源：ClawHub ↗ · 中文优化：龙虾技能库