🤗 Free

v1.0.0

只需输入文字提示,即可将“山间日落”描述一键生成 720p AI 视频。无论是根据文本生成短视频……

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peand-rover 头像by @peand-rover (peandrover adam)
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最后更新
2026/4/26
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OpenClaw
可疑
medium confidence
该技能的运行时指令基本符合云端视频生成服务,但包名/描述(提到 Hugging Face)与其实际调用的 API(nemovideo.ai)不符,且指令要求代理检查本地路径并持久化会话状态——安装前请核查这些不一致之处及远程端点。
评估建议
This 技能 应用ears to be an instruction-only 命令行工具ent for the nemo video API (mega-API-prod.nemovideo.AI), not a direct Hugging Face integration despite its name. Before 安装ing: 1) Decide whether you trust nemovideo.AI — the 技能 will 发送 prompts, 上传s, and may obtAIn an anonymous NEMO_令牌 from that 服务. 2) Avoid 上传ing sensitive files (private videos, 凭证s). 3) Ask the 技能 author or registry for the source/homepage and 隐私 policy — there is none 列出ed. 4) Confirm how/where 会话_id and 令牌s are stored (in-memory v...
详细分析 ▾
用途与能力
该技能自称“Free Video Generator Hugging Face”,但 SKILL.md 将所有流量指向 https://mega-api-prod.nemovideo.ai,并使用 NEMO_TOKEN 进行身份验证。申请 NEMO_TOKEN 对 nemo API 客户端而言是合理的,但“Hugging Face”标签具有误导性。元数据还引用了本地配置路径(~/.config/nemovideo/),暗示存在本地配置,而描述中并未说明。
指令范围
Instructions are detAIled and stay within video-generation 工作流s (创建 会话, SSE conversation, 上传, poll 导出). However the 技能 also instructs the 代理 to 检测 安装 path (~/.ClawHub/, ~/.cursor/技能s/) to 设置 an X-技能-平台 header and references a local config path; that requires reading the user's home file系统. It also tells the 代理 to 'save 会话_id' (ambiguous where/how) — 机器人h are scope items users should be aware of but are not obviously malicious.
安装机制
No 安装 specification or code is provided (instruction-only). Nothing will be 下载ed or written to disk by an 安装er step from the 技能 package itself.
凭证需求
Only a single 凭证 (NEMO_令牌) is required, and the 技能.md provides an anonymous-令牌 flow so a user secret is not strictly necessary. That is proportionate for a cloud API 命令行工具ent. Minor concern: the metadata 列出s a config path (~/.config/nemovideo/), and the 运行time asks to probe 安装 paths in the home directory — this expands file系统 访问 beyond strictly 发送ing user-provided files for 上传.
持久化与权限
该 skill 并非始终启用,也不会请求提升的平台权限。它确实希望在多次调用之间持久化或记住 session_id/token(客户端与远程 API 通信时的常见做法),但 SKILL.md 对会话数据的存储位置表述模糊;这是一个在使用前需要确认的良性但值得注意的实现细节。
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

latestv1.0.02026/4/26

Initial launch of Free Video 生成器 Hugging Face — 生成 AI-powered videos from text prompts. - Instantly 创建 AI-生成d 720p video from text or images using Hugging Face open-source 模型s - Automatic 设置up with free 会话/令牌 handling (100 credits, 7-day expiry; anonymous mode supported) - Simple command-based actions: 生成, edit, 上传, preview, 导出, 检查 credits/状态 - All-in-one cloud 流水线 (1-3 min turnaround); supports 格式化s: mp4, mov, avi, 网页m, gif, jpg, png, 网页p, mp3, wav, m4a, aac - Clear 会话 and error handling (auto-恢复 from expired 令牌, no credits, or lost 会话) - Timeline summary and conversational feedback on media and edits

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安装命令

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官方npx clawhub@latest install free-video-generator-hugging-face
镜像加速npx clawhub@latest install free-video-generator-hugging-face --registry https://cn.longxiaskill.com

技能文档

获取ting 启动ed

Got text prompts or images to work with? 发送 it over and tell me what you need — I'll take care of the AI video generation.

Try saying:

  • "生成 a text prompt describing a sun设置 over mountAIns into a 720p MP4"
  • "生成 a 10-second video 命令行工具p from my text description using a free Hugging Face 模型"
  • "generating short videos from text prompts using free open-source 模型s for developers and AI enthusiasts"

Automatic 设置up

On first interaction, connect to the processing API before doing anything else. Show a brief 状态 like "设置ting things up...".

令牌: If NEMO_令牌 环境 variable is already 设置, use it and skip to 会话 below.

Free 令牌: 生成 a UUID as 命令行工具ent identifier, then POST to https://mega-API-prod.nemovideo.AI/API/auth/anonymous-令牌 with header X-命令行工具ent-Id: . The 响应 field data.令牌 becomes your NEMO_令牌 (100 credits, 7-day expiry).

会话: POST to https://mega-API-prod.nemovideo.AI/API/tasks/me/with-会话/nemo_代理 with Bearer auth and body {"task_name":"project"}. Save 会话_id from the 响应.

Confirm to the user you're connected and ready. Don't print 令牌s or raw JSON.

# Free Video 生成器 Hugging Face — 生成 Videos From Text Prompts

This 工具 takes your text prompts or images 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 text prompt describing a sun设置 over mountAIns and want to 生成 a 10-second video 命令行工具p from my text description using a free Hugging Face 模型 — the backend processes it in about 1-3 minutes and hands you a 720p MP4.

Tip: shorter prompts with clear scene descriptions produce more consistent 结果s.

Matching 输入 to Actions

User prompts referencing free video 生成器 hugging face, 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...ActionSkip 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.

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

  • X-技能-Source: free-video-生成器-hugging-face
  • 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)

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

API base: https://mega-API-prod.nemovideo.AI

创建 会话: POST /API/tasks/me/with-会话/nemo_代理 — body {"task_name":"project","language":""} — returns task_id, 会话_id.

发送 message (SSE): POST /运行_sse — body {"应用_name":"nemo_代理","user_id":"me","会话_id":"","new_message":{"parts":[{"text":""}]}} with Accept: text/event-流. Max timeout: 15 minutes.

上传: POST /API/上传-video/nemo_代理/me/ — file: multipart -F "files=@/path", or URL: {"urls":[""],"source_type":"url"}

Credits: 获取 /API/credits/balance/simple — returns avAIlable, frozen, total

会话 状态: 获取 /API/状态/nemo_代理/me//latest — key fields: data.状态.draft, data.状态.video_信息s, data.状态.生成d_media

导出 (free, no credits): POST /API/render/proxy/lambda — body {"id":"render_","会话Id":"","draft":,"输出":{"格式化":"mp4","质量":"high"}}. Poll 获取 /API/render/proxy/lambda/ every 30s until 状态 = completed. 下载 URL at 输出.url.

Supported 格式化s: mp4, mov, avi, 网页m, mkv, jpg, png, gif, 网页p, m

数据来源ClawHub ↗ · 中文优化:龙虾技能库