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Huo15 Influencer Video

作者 tk8544-b · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install huo15-influencer-video
功能描述
Skip the learning curve of professional editing software. Describe what you want — cut filler words, add branded captions, and sync background music for my i...
使用说明 (SKILL.md)

Getting Started

Share your raw video clips and I'll get started on AI influencer video creation. Or just tell me what you're thinking.

Try saying:

  • "create my raw video clips"
  • "export 1080p MP4"
  • "cut filler words, add branded captions,"

Quick Start Setup

This skill connects to a cloud processing backend. On first use, set up the connection automatically and let the user know ("Connecting...").

Token check: Look for NEMO_TOKEN in the environment. If found, skip to session creation. Otherwise:

  • Generate a UUID as client identifier
  • POST https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with X-Client-Id header
  • Extract data.token from the response — this is your NEMO_TOKEN (100 free credits, 7-day expiry)

Session: POST https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Keep the returned session_id for all operations.

Let the user know with a brief "Ready!" when setup is complete. Don't expose tokens or raw API output.

Huo15 Influencer Video — Create and Export Influencer Videos

This tool takes your raw video clips and runs AI influencer video creation through a cloud rendering pipeline. You upload, describe what you want, and download the result.

Say you have a 60-second selfie-style talking head clip and want to cut filler words, add branded captions, and sync background music for my influencer reel — the backend processes it in about 1-2 minutes and hands you a 1080p MP4.

Tip: keep clips under 90 seconds for fastest processing and best AI cut detection.

Matching Input to Actions

User prompts referencing huo15 influencer video, 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.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is huo15-influencer-video, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

Include Authorization: Bearer \x3CNEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

API base: https://mega-api-prod.nemovideo.ai

Create session: POST /api/tasks/me/with-session/nemo_agent — body {"task_name":"project","language":"\x3Clang>"} — returns task_id, session_id.

Send message (SSE): POST /run_sse — body {"app_name":"nemo_agent","user_id":"me","session_id":"\x3Csid>","new_message":{"parts":[{"text":"\x3Cmsg>"}]}} with Accept: text/event-stream. Max timeout: 15 minutes.

Upload: POST /api/upload-video/nemo_agent/me/\x3Csid> — file: multipart -F "files=@/path", or URL: {"urls":["\x3Curl>"],"source_type":"url"}

Credits: GET /api/credits/balance/simple — returns available, frozen, total

Session state: GET /api/state/nemo_agent/me/\x3Csid>/latest — key fields: data.state.draft, data.state.video_infos, data.state.generated_media

Export (free, no credits): POST /api/render/proxy/lambda — body {"id":"render_\x3Cts>","sessionId":"\x3Csid>","draft":\x3Cjson>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/\x3Cid> every 30s until status = completed. Download URL at output.url.

Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

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)

Error Handling

Code Meaning Action
0 Success Continue
1001 Bad/expired token Re-auth via anonymous-token (tokens expire after 7 days)
1002 Session not found New session §3.0
2001 No credits Anonymous: show registration URL with ?bind=\x3Cid> (get \x3Cid> from create-session or state response when needed). Registered: "Top up credits in your account"
4001 Unsupported file Show supported formats
4002 File too large Suggest compress/trim
400 Missing X-Client-Id Generate Client-Id and retry (see §1)
402 Free plan export blocked Subscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429 Rate limit (1 token/client/7 days) Retry in 30s once

Tips and Tricks

The backend processes faster when you're specific. Instead of "make it look better", try "cut filler words, add branded captions, and sync background music for my influencer reel" — concrete instructions get better results.

Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.

Export as MP4 with H.264 codec for widest compatibility across all social platforms.

Common Workflows

Quick edit: Upload → "cut filler words, add branded captions, and sync background music for my influencer reel" → 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 will upload your video files and related editing instructions to mega-api-prod.nemovideo.ai for cloud processing; that is the intended behavior. Consider: (1) Do you trust that external service with the videos you will upload? (2) The skill will create an anonymous token automatically if you don't provide NEMO_TOKEN, so it can operate without explicit user credentials. If you plan to provide a NEMO_TOKEN, only do so if you trust the service and understand its retention/privacy policies. Note the small metadata mismatch: the frontmatter references ~/.config/nemovideo/ even though registry metadata lists no config paths — harmless but worth asking the publisher for clarification. If you have sensitive footage you do not want uploaded, do not use this skill.
功能分析
Type: OpenClaw Skill Name: huo15-influencer-video Version: 1.0.0 The skill is a functional integration for the Huo15/NemoVideo AI video editing service, allowing an agent to automate video processing tasks. It provides detailed instructions for managing sessions, uploading media, and triggering cloud renders via the 'mega-api-prod.nemovideo.ai' API. While it handles authentication tokens and file uploads, these actions are strictly aligned with the stated purpose of the skill and do not show evidence of malicious intent or unauthorized data exfiltration.
能力评估
Purpose & Capability
Name/description, declared primary env (NEMO_TOKEN), and the SKILL.md all describe a cloud render/edit pipeline and the API endpoints used match that purpose. There are no unrelated credentials or unrelated binaries requested.
Instruction Scope
Instructions clearly instruct the agent to upload user video files and interact with nemovideo.ai endpoints (session creation, SSE messaging, upload, render/polling). This is expected for a cloud editor, but it means user media and metadata will be sent to a third-party service and the skill will create an anonymous token if no NEMO_TOKEN is present. The skill also instructs the agent to detect install path to set an X-Skill-Platform header (requires checking agent filesystem path), which is extra but low-risk.
Install Mechanism
No install spec or code files — instruction-only. Nothing is written to disk by the skill itself beyond whatever the agent/platform normally does.
Credentials
Only NEMO_TOKEN is declared as required, which is appropriate. The SKILL.md will obtain an anonymous token if none is provided (it POSTs to /api/auth/anonymous-token). Small metadata inconsistency: the YAML frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata reported no required config paths; this is a minor mismatch but not critical.
Persistence & Privilege
always:false and autonomous invocation allowed (platform default). The skill does not request persistent system-wide privileges or to modify other skills. It uses session tokens for API operations, which is expected.
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 huo15-influencer-video
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /huo15-influencer-video 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
huo15-influencer-video 1.0.0 — Initial release - Lets users create and export polished influencer videos in 1–2 minutes from raw clips, with features like cutting filler words, branded captions, and background music sync. - Supports uploads up to 500MB in MP4, MOV, AVI, or WebM formats; optimized for TikTok and Instagram influencers. - Includes automatic cloud backend setup and session management, with 100 free credits for new users. - Exposes user-friendly commands for uploading, editing, checking credits/status, and exporting 1080p MP4s. - Handles common errors, backend instructions, and summarizes timeline edits for a streamlined editing experience without pro-level tools.
元数据
Slug huo15-influencer-video
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

Huo15 Influencer Video 是什么?

Skip the learning curve of professional editing software. Describe what you want — cut filler words, add branded captions, and sync background music for my i... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 54 次。

如何安装 Huo15 Influencer Video?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install huo15-influencer-video」即可一键安装,无需额外配置。

Huo15 Influencer Video 是免费的吗?

是的,Huo15 Influencer Video 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Huo15 Influencer Video 支持哪些平台?

Huo15 Influencer Video 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 Huo15 Influencer Video?

由 tk8544-b(@tk8544-b)开发并维护,当前版本 v1.0.0。

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