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Morfeo Content Pipeline

作者 Paul de Lavallaz · GitHub ↗ · v2.0.0
cross-platform ⚠ suspicious
326
总下载
0
收藏
1
当前安装
4
版本数
在 OpenClaw 中安装
/install morfeo-content-pipeline
功能描述
Autonomous pipeline generating TikTok videos simulating real Argentine brands with a final AI reveal by Morfeo Labs, posted as drafts 4 times daily.
安全使用建议
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.
功能分析
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.
能力评估
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.
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 morfeo-content-pipeline
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /morfeo-content-pipeline 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
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
元数据
Slug morfeo-content-pipeline
版本 2.0.0
许可证
累计安装 1
当前安装数 1
历史版本数 4
常见问题

Morfeo Content Pipeline 是什么?

Autonomous pipeline generating TikTok videos simulating real Argentine brands with a final AI reveal by Morfeo Labs, posted as drafts 4 times daily. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 326 次。

如何安装 Morfeo Content Pipeline?

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

Morfeo Content Pipeline 是免费的吗?

是的,Morfeo Content Pipeline 完全免费(开源免费),可自由下载、安装和使用。

Morfeo Content Pipeline 支持哪些平台?

Morfeo Content Pipeline 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 Morfeo Content Pipeline?

由 Paul de Lavallaz(@pauldelavallaz)开发并维护,当前版本 v2.0.0。

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