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Morfeo Content Pipeline
by
Paul de Lavallaz
· GitHub ↗
· v2.0.0
326
Downloads
0
Stars
1
Active Installs
4
Versions
Install in OpenClaw
/install morfeo-content-pipeline
Description
Autonomous pipeline generating TikTok videos simulating real Argentine brands with a final AI reveal by Morfeo Labs, posted as drafts 4 times daily.
Usage Guidance
Before installing or running this skill, consider the following:
- The SKILL.md expects access to local project paths, PM2 processes, and many external services but lists no API keys or config paths—ask the author which credentials and file locations are required and why they weren't declared.
- The instructions explicitly say to write prompts in English to "avoid moderation"—that is an attempt to evade content safety controls and is a serious red flag; do not use this behavior on shared or production systems.
- The pipeline simulates real Argentine brands and pushes draft posts; confirm you have legal permission to use those brands and that posting will not impersonate or infringe rights.
- If you still want to test it, run the skill in an isolated environment (ephemeral VM or container) with no production credentials, and ensure any API keys are scoped/revocable. Ask the publisher for a detailed list of required credentials, network endpoints, and an explicit privacy/safety explanation before granting access.
Capability Analysis
Type: OpenClaw Skill
Name: morfeo-content-pipeline
Version: 2.0.0
The skill bundle defines an autonomous content generation pipeline for TikTok videos, specifically tailored for 'Morfeo Labs'. It orchestrates a multi-step workflow involving image generation via ComfyDeploy, scriptwriting using Gemini 2.5 Pro with specific Argentine cultural nuances, and video synthesis using VEED and ffmpeg. The instructions in SKILL.md are highly detailed and include robust error handling, such as file size validation and retry logic, as well as safety measures like posting content as drafts. No indicators of data exfiltration, malicious shell execution, or unauthorized access were found; the capabilities described (file system access, network calls to AI APIs, and media processing) are strictly aligned with the stated purpose of the pipeline.
Capability Assessment
Purpose & Capability
The skill claims to generate TikTok videos, which legitimately requires access to local brand assets, model catalogs, and external services (Gemini, Morpheus, VEED, ElevenLabs, TikTok). However the registry metadata lists no required env vars or config paths. The SKILL.md explicitly references local project paths (/home/ubuntu..., ~/clawd/...), deployment IDs, and a GitHub repo—these resource accesses are not declared, which is inconsistent and disproportionate.
Instruction Scope
Runtime instructions tell the agent to read files from user home directories, run PM2 under a specific project path, call multiple external image/voice/video deployments, select and push assets, and post drafts. Critically, the doc explicitly instructs authors to write prompts in English to "avoid Gemini moderation in Spanish," which is an instruction to evade safety controls. The instructions therefore go beyond innocuous content generation and grant broad filesystem and network scope without constraints.
Install Mechanism
This is an instruction-only skill with no install spec (lower disk footprint). That reduces install-time risk, but the skill still expects access to local repos, PM2-managed processes, and multiple external services at runtime, which keeps the operational risk high despite no installer.
Credentials
The workflow requires many external services (Gemini, Morpheus deployments, Multishot, VEED UGC, ElevenLabs voices, posting to TikTok, Git operations) that normally need API keys/tokens, yet the skill declares no required environment variables or primary credential. This mismatch suggests either missing metadata (sloppy) or an assumption that sensitive credentials already exist on the host—the latter is risky.
Persistence & Privilege
always:false and user-invocable:true (normal). The instructions do direct operations that can change local state (PM2, pushing to repos, writing files under the project path), but there is no claim of forcing always-on presence or altering other skills' configurations.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install morfeo-content-pipeline - After installation, invoke the skill by name or use
/morfeo-content-pipeline - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.0
v2.0.0 — Rediseño completo: auto_mode manual/full, multi-proyecto, pausas por etapa, fix hero.png, regen-clip fire-and-forget, server-side polling + Resend email
v1.2.0
Fix producción: retry x3, validar tamaño mínimo clips, respetar concurrency_limit deployment VEED
v1.1.0
Nuevo orden: guión DESPUÉS de ver los shots. Lógica de escritura basada en análisis visual real. Reglas de slang argentino.
v1.0.0
Pipeline completo: Marca → Guión → Morpheus → Multishot → VEED×5 → ffmpeg → Postiz DRAFT
Metadata
Frequently Asked Questions
What is Morfeo Content Pipeline?
Autonomous pipeline generating TikTok videos simulating real Argentine brands with a final AI reveal by Morfeo Labs, posted as drafts 4 times daily. It is an AI Agent Skill for Claude Code / OpenClaw, with 326 downloads so far.
How do I install Morfeo Content Pipeline?
Run "/install morfeo-content-pipeline" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Morfeo Content Pipeline free?
Yes, Morfeo Content Pipeline is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Morfeo Content Pipeline support?
Morfeo Content Pipeline is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Morfeo Content Pipeline?
It is built and maintained by Paul de Lavallaz (@pauldelavallaz); the current version is v2.0.0.
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