Huo15 Influencer Video

v1.0.0

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...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for tk8544-b/huo15-influencer-video.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Huo15 Influencer Video" (tk8544-b/huo15-influencer-video) from ClawHub.
Skill page: https://clawhub.ai/tk8544-b/huo15-influencer-video
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install huo15-influencer-video

ClawHub CLI

Package manager switcher

npx clawhub@latest install huo15-influencer-video
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Benign
medium confidence
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.
Assessment
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.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

🎬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk97625qp6pxpc8rnm275qpybtn85n4dj
43downloads
0stars
1versions
Updated 17h ago
v1.0.0
MIT-0

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...ActionSkip 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 <NEMO_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":"<lang>"} — returns task_id, session_id.

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

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

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

Session state: GET /api/state/nemo_agent/me/<sid>/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_<ts>","sessionId":"<sid>","draft":<json>,"output":{"format":"mp4","quality":"high"}}. Poll GET /api/render/proxy/lambda/<id> 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

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess 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 saysYou 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

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate 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.

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