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Install in OpenClaw
/install skill-ugc-pipeline
Description
End-to-end AI UGC video pipeline. Product info → GPT-4o-mini script → ElevenLabs voiceover → Aurora talking head (fal-ai/creatify/aurora) → Kling 2.6 Pro pro...
Usage Guidance
Do not install or supply API keys to this skill as-is. The SKILL.md expects npm/node scripts and a Python overlay but the package contains only the README — that is a coherence failure. Before proceeding, ask the publisher for the source repository or a packaged release that includes the referenced scripts and a verified install spec. If you must test it: (1) run in an isolated sandbox or VM, (2) use ephemeral or least-privilege API keys (scoped service accounts and low quotas), (3) inspect all scripts for unexpected network calls or filesystem access, and (4) confirm the meaning of the 'uv' binary and any cross-skill dependencies. If the author can't provide code or a trustworthy source URL/homepage, treat the skill as incomplete and avoid handing over real credentials.
Capability Analysis
Type: OpenClaw Skill
Name: skill-ugc-pipeline
Version: 1.2.0
The skill bundle describes a legitimate end-to-end AI video generation pipeline utilizing GPT-4o, ElevenLabs, and fal.ai APIs. The documentation in SKILL.md and metadata in _meta.json outline a standard workflow for script generation, voiceover, and video post-processing using FFmpeg, with no evidence of malicious intent, data exfiltration, or prompt injection.
Capability Assessment
Purpose & Capability
The described purpose (GPT → ElevenLabs → fal.ai Aurora/Kling → Whisper → ffmpeg) legitimately requires FAL_KEY, ELEVENLABS_API_KEY, OPENAI_API_KEY and binaries like node and ffmpeg; the SKILL.md lists those. However the registry metadata at the top of the submission indicates no required env vars or binaries — a direct inconsistency between what the skill claims to need and what the package declares. The stated purpose itself aligns with the APIs named, but the metadata/manifest mismatch is suspicious.
Instruction Scope
The runtime instructions tell the agent to run npm install and multiple node scripts (generate.js, broll.js, transcribe_captions.js) and a Python overlay.py, and to call external APIs (fal.ai, ElevenLabs, OpenAI). Those calls are expected for this pipeline. Crucially, the skill bundle contains only SKILL.md and no code files or scripts referenced by the instructions — so the instructions cannot be executed as-is from this package. The doc also references a binary named 'uv' (unclear meaning) and a cross-skill dependency (skill-tiktok-ads-video) which are not further explained.
Install Mechanism
There is no install spec in the registry (instruction-only), which normally lowers risk. But SKILL.md instructs running npm install and node scripts as if code were included. Because no code or install artifacts are present in the package, the instructions either assume an external repository or are incomplete/misleading. That mismatch (no install vs. instructions that require package installation) is a red flag.
Credentials
The environment variables required by SKILL.md (FAL_KEY, ELEVENLABS_API_KEY, OPENAI_API_KEY) are proportional to the stated integrations and are reasonable for this task. The concern is that the registry metadata declares no required env vars or primary credential while the SKILL.md explicitly requires three API keys. This disparity means automated permission checks or prompts could be incorrect; users might unknowingly provide keys to an unknown/unsigned skill.
Persistence & Privilege
The skill is not set always:true and does not request system config paths or other skills' credentials. It is user-invocable and allows model invocation (platform defaults). No evidence it requests persistent presence or modifies other skills.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install skill-ugc-pipeline - After installation, invoke the skill by name or use
/skill-ugc-pipeline - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.2.0
skill-ugc-pipeline v1.2.0
- Adds B-roll video splicing: Kling 2.6 Pro generates product shots, inserted into the avatar video at configurable time
- Introduces UGC filter: grain and handheld shake apply to avatar segments only, product B-roll remains cinematic
- Ensures continuous audio across B-roll splice (no gaps)
- New broll.js script for B-roll and UGC filter post-processing
- Updated cost estimate and requirements
- Documentation expanded with new workflow steps and script options
v1.1.0
skill-ugc-pipeline v1.1.0
- Aurora is now the default and locked avatar model after A/B testing, providing more realistic lip sync and narration.
- Updated cost and model comparison details; Aurora is the most cost-effective and highest quality option.
- Added clearer Quick Start, batch mode, environment variable setup, and detailed flag explanations.
- Whisper-synced captions and overlay support clarified, with instructions for usage.
- Requires [skill-tiktok-ads-video] installed for caption overlay.
- Improved documentation for avatar guidelines and error handling (Aurora timeout fallback).
Metadata
Frequently Asked Questions
What is AI UGC Video Pipeline?
End-to-end AI UGC video pipeline. Product info → GPT-4o-mini script → ElevenLabs voiceover → Aurora talking head (fal-ai/creatify/aurora) → Kling 2.6 Pro pro... It is an AI Agent Skill for Claude Code / OpenClaw, with 341 downloads so far.
How do I install AI UGC Video Pipeline?
Run "/install skill-ugc-pipeline" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is AI UGC Video Pipeline free?
Yes, AI UGC Video Pipeline is completely free (open-source). You can download, install and use it at no cost.
Which platforms does AI UGC Video Pipeline support?
AI UGC Video Pipeline is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created AI UGC Video Pipeline?
It is built and maintained by Zero2Ai (@zero2ai-hub); the current version is v1.2.0.
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