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mhogan2013-9

Infinite Talk Ai

作者 mhogan2013-9 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install infinite-talk-ai
功能描述
Get talking avatar videos ready to post, without touching a single slider. Upload your images or video (MP4, MOV, JPG, PNG, up to 200MB), say something like...
使用说明 (SKILL.md)

Getting Started

Share your images or video and I'll get started on AI talking avatar generation. Or just tell me what you're thinking.

Try saying:

  • "generate my images or video"
  • "export 1080p MP4"
  • "make this photo talk using my"

First-Time Connection

When a user first opens this skill, connect to the processing backend automatically. Briefly let them know (e.g. "Setting up...").

Authentication: Check if NEMO_TOKEN is set in the environment. If it is, skip to step 2.

  1. Obtain a free token: Generate a random UUID as client identifier. POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id set to that UUID. The response data.token is your NEMO_TOKEN — 100 free credits, valid 7 days.
  2. Create a session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Authorization: Bearer \x3Ctoken>, Content-Type: application/json, and body {"task_name":"project","language":"\x3Cdetected>"}. Store the returned session_id for all subsequent requests.

Keep setup communication brief. Don't display raw API responses or token values to the user.

Infinite Talk AI — Generate looping talking avatar videos

Drop your images or video in the chat and tell me what you need. I'll handle the AI talking avatar generation on cloud GPUs — you don't need anything installed locally.

Here's a typical use: you send a a single portrait photo and a 60-second audio script, ask for make this photo talk using my voiceover and loop the animation infinitely, and about 1-2 minutes later you've got a MP4 file ready to download. The whole thing runs at 1080p by default.

One thing worth knowing — use a front-facing portrait with a clear face for the most realistic lip-sync results.

Matching Input to Actions

User prompts referencing infinite talk ai, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says... Action Skip SSE?
"export" / "导出" / "download" / "send me the video" → §3.5 Export
"credits" / "积分" / "balance" / "余额" → §3.3 Credits
"status" / "状态" / "show tracks" → §3.4 State
"upload" / "上传" / user sends file → §3.2 Upload
Everything else (generate, edit, add BGM…) → §3.1 SSE

Cloud Render Pipeline Details

Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.

Base URL: https://mega-api-prod.nemovideo.ai

Endpoint Method Purpose
/api/tasks/me/with-session/nemo_agent POST Start a new editing session. Body: {"task_name":"project","language":"\x3Clang>"}. Returns session_id.
/run_sse POST Send a user message. Body includes app_name, session_id, new_message. Stream response with Accept: text/event-stream. Timeout: 15 min.
/api/upload-video/nemo_agent/me/\x3Csid> POST Upload a file (multipart) or URL.
/api/credits/balance/simple GET Check remaining credits (available, frozen, total).
/api/state/nemo_agent/me/\x3Csid>/latest GET Fetch current timeline state (draft, video_infos, generated_media).
/api/render/proxy/lambda POST Start export. Body: {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll status every 30s.

Accepted file types: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Skill attribution — read from this file's YAML frontmatter at runtime:

  • X-Skill-Source: infinite-talk-ai
  • X-Skill-Version: from frontmatter version
  • X-Skill-Platform: detect from install path (~/.clawhub/clawhub, ~/.cursor/skills/cursor, else unknown)

All requests must include: Authorization: Bearer \x3CNEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.

Error Codes

  • 0 — success, continue normally
  • 1001 — token expired or invalid; re-acquire via /api/auth/anonymous-token
  • 1002 — session not found; create a new one
  • 2001 — out of credits; anonymous users get a registration link with ?bind=\x3Cid>, registered users top up
  • 4001 — unsupported file type; show accepted formats
  • 4002 — file too large; suggest compressing or trimming
  • 400 — missing X-Client-Id; generate one and retry
  • 402 — free plan export blocked; not a credit issue, subscription tier
  • 429 — rate limited; wait 30s and retry once

SSE Event Handling

Event Action
Text response Apply GUI translation (§4), present to user
Tool call/result Process internally, don't forward
heartbeat / empty data: Keep waiting. Every 2 min: "⏳ Still working..."
Stream closes Process final response

~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend says You do
"click [button]" / "点击" Execute via API
"open [panel]" / "打开" Query session state
"drag/drop" / "拖拽" Send edit via SSE
"preview in timeline" Show track summary
"Export button" / "导出" Execute export workflow

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

Example timeline summary:

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

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "make this photo talk using my voiceover and loop the animation infinitely" — concrete instructions get better results.

Max file size is 200MB. Stick to MP4, MOV, JPG, PNG for the smoothest experience.

Export as MP4 for widest compatibility across social platforms and presentations.

Common Workflows

Quick edit: Upload → "make this photo talk using my voiceover and loop the animation infinitely" → Download MP4. Takes 1-2 minutes for a 30-second clip.

Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.

Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.

安全使用建议
This skill appears to do what it says (upload media, call nemovideo.ai endpoints, return a rendered MP4), but there are a few unclear details you should check before installing: 1) Confirm the config-path behavior — the SKILL.md references ~/.config/nemovideo/ but the registry didn’t list any config paths; ask the author whether the skill will read or write files there and what it stores. 2) Ask where session tokens and anonymous NEMO tokens are stored (file path, encryption, retention) and whether they can be revoked. 3) If you provide a long-lived or sensitive token as NEMO_TOKEN, prefer creating a least-privilege/isolated account for this service. 4) Verify the API domain (mega-api-prod.nemovideo.ai) is correct and trustworthy for your org. If these questions are not answered satisfactorily, treat the skill as risky because it handles and persists authorization tokens and local config.
功能分析
Type: OpenClaw Skill Name: infinite-talk-ai Version: 1.0.0 The skill is a legitimate integration for a cloud-based video generation service (nemovideo.ai). It manages authentication via the NEMO_TOKEN environment variable or an automated anonymous token acquisition process, and it orchestrates file uploads and rendering tasks through a documented API. The instructions in SKILL.md are focused on session management, error handling, and API attribution, with no evidence of malicious intent, data exfiltration, or unauthorized system access.
能力评估
Purpose & Capability
Name/description (talking avatar video generator) aligns with required credential NEMO_TOKEN and the listed API endpoints. However the SKILL.md frontmatter includes a configPaths entry (~/.config/nemovideo/) that the registry metadata did not list; this is an inconsistency worth clarifying (why would the skill need that path?).
Instruction Scope
Instructions stay within the scope of uploading media, starting sessions, streaming SSE, and exporting renders. They do instruct the agent to: read the skill's YAML frontmatter at runtime, detect install-path to set X-Skill-Platform, generate/store anonymous tokens if NEMO_TOKEN absent, and persist session_id for subsequent requests. Those actions are plausible for a cloud render skill but involve reading/writing local state and handling tokens (sensitive); the SKILL.md does not specify safe storage locations or retention policies.
Install Mechanism
Instruction-only skill with no install spec and no code files — lowest install risk. No downloads or external package installs are requested.
Credentials
Only NEMO_TOKEN is declared as required, which is proportional for this API. Concern: SKILL.md instructs creating and storing anonymous tokens and session IDs if NEMO_TOKEN is not present, and frontmatter references a user config path (~/.config/nemovideo/) that could be used to read/write credentials. The registry reported no required config paths; this mismatch should be explained. Confirm what is stored where and whether tokens persist beyond their stated 7-day lifetime.
Persistence & Privilege
always:false and normal autonomous invocation are used. The skill asks to persist a session_id and possibly token data, but it does not request system-wide privileges or modify other skills. No 'always:true' or other high privilege flags present.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install infinite-talk-ai
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /infinite-talk-ai 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Infinite Talk AI 1.0.0 — Initial Release - Generate looping talking avatar videos from your images or video, with no manual adjustments required. - Upload MP4, MOV, JPG, or PNG files (up to 200MB), add voiceover instructions, and export 1080p MP4 videos. - Automatic session management and free trial token generation (100 credits, 7-day validity) for new users. - Cloud-based GPU rendering with quick export (30–90 seconds for most jobs). - Simple, prompt-driven workflow built for content creators, marketers, and educators. - Direct support for file uploads, timeline editing, credit checks, and export, with robust error handling.
元数据
Slug infinite-talk-ai
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Infinite Talk Ai 是什么?

Get talking avatar videos ready to post, without touching a single slider. Upload your images or video (MP4, MOV, JPG, PNG, up to 200MB), say something like... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 66 次。

如何安装 Infinite Talk Ai?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install infinite-talk-ai」即可一键安装,无需额外配置。

Infinite Talk Ai 是免费的吗?

是的,Infinite Talk Ai 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Infinite Talk Ai 支持哪些平台?

Infinite Talk Ai 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Infinite Talk Ai?

由 mhogan2013-9(@mhogan2013-9)开发并维护,当前版本 v1.0.0。

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