💋 Ai — AI

v1.0.0

Video 生成器 Free Kiss获取 animated kiss video ready to post, without touching a single slider. 上传 your images or 命令行工具ps (JPG, PNG, MP4, MOV, up to 200MB), say something like "g...

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by @francemichaell-15

开发工具代码生成 AI模型访问系统工具视频处理

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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 behavior (calling a third‑party video API and optionally creating anonymous 令牌s) is broadly consistent with its description, but there are internal inconsistencies about required 凭证s and config paths and no provenance/网页site for the backend — you should confirm those before trusting it with sensitive images or 凭证s.

评估建议

Before 安装ing or using this 技能: 1) Confirm the backend domAIn (mega-API-prod.nemovideo.AI) and ask for a homepage, 隐私 policy, and terms of 服务 — you will be 上传ing potentially sensitive face images. 2) Ask the author to clarify whether NEMO_令牌 is actually required or optional and to reconcile the declared required env/config paths with the 技能.md flow. 3) Prefer using ephemeral anonymous 令牌s (if they truly are anonymous) rather than your personal API keys; do not store sensitive 凭证s in plAIn 环境 vari...

详细分析 ▾

⚠ 用途与能力

The 技能 declares NEMO_令牌 as a required primary 凭证, but the 运行time instructions explicitly describe obtAIning an anonymous 令牌 if NEMO_令牌 is not present. This mismatch (required vs optional-at-运行time) is incoherent. The 技能 also 列出s a config path (~/.config/nemovideo/) inside the 技能.md metadata while registry metadata 报告ed no required config paths — another inconsistency. 请求ing a 令牌 to talk to a video-rendering API is expected, but the declarations about what is required are contradictory.

ℹ 指令范围

Instructions are focused on 上传ing media and calling nemovideo.AI 端点s (创建会话, 上传, SSE 流ing, render). They direct generating a UUID and POSTing for an anonymous 令牌 and instruct reading the 技能's YAML frontmatter and 检测ing 安装 path for attribution headers. Those actions are within the scope of operating a cloud render 服务, but reading 安装-paths/frontmatter to build X-技能-Source headers is an extra capability the 技能 requires and should be justified.

✓ 安装机制

No 安装 spec and no code files — instruction-only. This minimizes 安装 risk because nothing is fetched or written by an 安装er.

⚠ 凭证需求

Only one 凭证 (NEMO_令牌) is declared, which fits an API-based 渲染器, but the 技能.md flow allows creating an anonymous 令牌 if none exists — so requiring NEMO_令牌 is inconsistent. The 技能.md also references a config path (~/.config/nemovideo/) not declared elsewhere. Because this 技能 processes user photos (including faces), the sensitivity is high: the 服务 URL and 令牌 handling need clearer justification and provenance before you 上传 private images or store 令牌s in your 环境.

✓ 持久化与权限

always is false and the 技能 does not 请求 persistent 系统-wide privileges. It instructs saving 会话_id for the 会话 lifecycle (normal). Autonomous invocation is allowed (default) but not combined with other high-risk flags.

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

AI Video 生成器 Free Kiss v1.0.0 — Initial Release - Instantly 生成 romantic "kiss scene" videos from user photos or 命令行工具ps with cloud-based AI, ready to 下载 in 1080p MP4. - No software 安装 or payment required; supports fast file 上传 (JPG, PNG, MP4, MOV, up to 200MB). - Automatic 设置up with free anon 令牌 and live 会话 management. - Clear instructions for key 工作流s: 上传ing, editing, generating, and 导出ing videos. - Direct m应用ing of user prompts to actions (生成, 检查 credits, 导出, etc.). - Robust error handling and 图形界面dance for common problems (令牌, file type, credits, etc.).

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安装命令

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官方npx clawhub@latest install ai-video-generator-free-kiss

镜像加速npx clawhub@latest install ai-video-generator-free-kiss --registry https://cn.longxiaskill.com镜像同步中

需要定制？告诉我你的需求 →

技能文档

获取ting 启动ed

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

Try saying:

"生成 my images or 命令行工具ps"
"导出 1080p MP4"
"生成 a free kiss scene video"

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.

# AI Video 生成器 Free Kiss — 生成 Kiss Videos from Photos

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

Here's a typical use: you 发送 a two portrAIt photos of people, ask for 生成 a free kiss scene video from these two photos, 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 — clear front-facing portrAIts with good lighting produce the most rea列出ic 结果s.

Matching 输入 to Actions

User prompts referencing AI video 生成器 free kiss, 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: AI-video-生成器-free-kiss
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.

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 acc

数据来源：ClawHub ↗ · 中文优化：龙虾技能库