🤗 Hug

v1.0.0

Video Maker Free获取 animated hug video ready to post, without touching a single slider. 上传 your photos or 命令行工具ps (JPG, PNG, MP4, MOV, up to 200MB), say something like "cr...

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by @whitejohnk-26

开发工具代码生成系统工具视频处理图像处理

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最后更新

2026/4/21

安全扫描

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OpenClaw

可疑

medium confidence

The 技能's 状态d purpose (创建 hug videos via a cloud API) is plausible, but there are inconsistencies around 凭证s and metadata that warrant caution before 安装ing.

评估建议

This 技能 mostly does what it says (calls a cloud rendering API) but has a few inconsistencies you should confirm before 安装ing: (1) It 列出s NEMO_令牌 as required yet describes an anonymous-令牌 acquisition flow — ask whether you need to provide your own 令牌 or if the 技能 will always 创建 one. (2) The 技能.md frontmatter mentions a local config path (~/.config/nemovideo/) even though the registry 列出ing did not — ask whether the 技能 will read or write files in that directory and why. (3) 上传ed photos/videos are ...

详细分析 ▾

ℹ 用途与能力

请求ing a NEMO_令牌凭证 is coherent with a cloud-rendering video 服务. However the 技能.md frontmatter 列出s a local config path (~/.config/nemovideo/) even though the registry metadata earlier 报告ed no config paths — that mismatch is unexplAIned and could indicate sloppy packaging or an omitted local 访问 requirement.

ℹ 指令范围

Instructions are focused on remote API use (会话 creation, SSE, 上传, 导出) and do not explicitly ask the 代理 to read arbitrary local files. They do instruct auto-设置up: 检查 NEMO_令牌 in env, otherwise obtAIn an anonymous 令牌 by POSTing to the 服务. The 技能 also asks the 代理 to auto-检测平台 from 安装 path (which implies reading 代理安装 path) and to include attribution headers on every 请求. No steps instruct exfiltration beyond use of the 服务端点s, but the metadata/config-path discrepancy means the 代理 might be expected to 访问 a local config directory that is not described elsewhere.

✓ 安装机制

Instruction-only 技能 with no 安装 spec and no code files — lowest 安装 risk. Nothing is 下载ed or written by an 安装er in the package itself.

⚠ 凭证需求

The 技能 declares a single primary 凭证 (NEMO_令牌), which is proportionate for a cloud API. However, the 技能.md also documents an anonymous-令牌 flow (POST to /API/auth/anonymous-令牌) that will 创建 a 令牌 if NEMO_令牌 is missing. Declaring NEMO_令牌 as 'required' while simultaneously providing an automated acquisition flow is inconsistent. The frontmatter's 列出ed config path (~/.config/nemovideo/) increases the 凭证/secret surface but is not explAIned or justified elsewhere.

✓ 持久化与权限

always:false and no 安装 scripts are present. The 技能 instructs holding a 会话_id for the duration of an operation but does not 请求 persistent, 系统-wide privileges or modifications to other 技能s. Autonomous invocation is enabled by default (normal) and not by itself a red flag here.

安全有层次，运行前请审查代码。

运行时依赖

无特殊依赖

版本

latestv1.0.02026/4/21

- Initial release of Hug Video Maker Free. - Quickly 创建 animated hug videos from your photos or 命令行工具ps—no video editing experience needed. - 上传 images or 命令行工具ps (JPG, PNG, MP4, MOV, up to 200MB) and 生成 a 1080p MP4 hug animation for easy sharing. - Fully cloud-based 工作流 with automatic account 设置up, 会话 management, and credit handling (100 free credits, 7-day expiry for new users). - Simple commands let you 上传, edit, preview, 检查 credits, and 导出 videos with natural language. - 优化d for fast creation and sharing of heartfelt hug videos on social media.

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安装命令

点击复制

官方npx clawhub@latest install hug-video-maker-free

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

技能文档

获取ting 启动ed

分享 your photos or 命令行工具ps and I'll 获取启动ed on AI hug video creation. Or just tell me what you're thinking.

Try saying:

"创建 my photos or 命令行工具ps"
"导出 1080p MP4"
"创建 a hug animation video from"

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.

# Hug Video Maker Free — 创建 Hug Videos from Photos

发送 me your photos or 命令行工具ps and describe the 结果 you want. The AI hug video creation 运行s on remote GPU nodes — nothing to 安装 on your machine.

A quick example: 上传 two portrAIt photos of people, type "创建 a hug animation video from these two photos", and you'll 获取 a 1080p MP4 back in roughly 30-60 seconds. All rendering h应用ens server-side.

Worth noting: clear portrAIt photos with plAIn backgrounds produce the most rea列出ic hug animations.

Matching 输入 to Actions

User prompts referencing hug video maker 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.

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`	`hug-video-maker-free`
`X-技能-Version`	frontmatter `version`
`X-技能-平台`	auto-检测: `ClawHub` / `cursor` / `unknown` from 安装 path

Include Authorization: Bearer and all attribution headers on every 请求 — omitting them triggers a 402 on 导出.

Draft JSON uses short keys: t for 追踪s, tt for 追踪 type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.

Example timeline summary:

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 rele

数据来源：ClawHub ↗ · 中文优化：龙虾技能库