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cameron48

UGC Factory

作者 Cameron48 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
89
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install mcf-ugc-factory
功能描述
AI-powered video and content generation pipeline with script writing, TikTok automation, YouTube analysis, media library, avatars, and voice synthesis — buil...
安全使用建议
This skill could do what it says, but important details are missing. Before installing or invoking it: (1) Ask the publisher how authentication works — who holds OAuth/API keys and how user accounts are authorized? (2) Ask how x402 payments are signed and whether you'll need to provide private keys or approve transactions; never paste private keys into prompts. (3) Confirm legal/terms-of-service issues (e.g., watermark removal, reposting YouTube content). (4) Prefer OAuth flows or delegated tokens rather than handing secrets to the skill/gateway. (5) Test in a sandbox account, watch for unexpected network requests or charges, and require documentation of the gateway's operator and privacy/security practices.
功能分析
Type: OpenClaw Skill Name: mcf-ugc-factory Version: 1.0.0 The skill bundle consists of documentation for an AI-driven video content generation and automation service (UGC Factory). It defines a series of API endpoints for tasks such as script writing, TikTok/YouTube analysis, and media management via a remote gateway (gateway.mcfagentic.com). No executable code is provided, and the instructions in SKILL.md are consistent with the stated purpose of content creation without any signs of prompt injection, data exfiltration, or malicious intent.
能力评估
Purpose & Capability
The declared capability (generate scripts, fetch B-roll, produce videos, analyze & schedule TikTok/YouTube posts) is consistent with a UGC factory. However, several capabilities normally require external credentials (TikTok/YouTube accounts, Pexels/Pixabay API keys, or a payment wallet) yet the skill declares no required environment variables, config paths, or primary credential. That omission is unexpected and should be explained (e.g., does the gateway hold connectors/credentials?).
Instruction Scope
SKILL.md instructs the agent to call an external gateway and to perform actions that can alter external services (create posts, schedule content) and perform sensitive operations (strip-watermark). The instructions do not document how to obtain/authorize the required platform credentials, how to handle user consent, or how payment signing is performed. The 'send a request without payment to receive pricing info in the 402 response' hints at an on-chain payment flow but gives no guidance for safe wallet handling. Lack of explicit guidance grants the agent broad, ambiguous discretion.
Install Mechanism
This is an instruction-only skill with no install steps or code—low technical install risk. But it relies on a single external gateway URL (https://gateway.mcfagentic.com), an unknown third-party endpoint; network calls to that endpoint are the primary runtime action and represent an external trust dependency that should be validated.
Credentials
No environment variables or credentials are declared, yet the skill's features typically require: (a) access tokens/OAuth for social platforms, (b) API keys for media providers, and (c) a cryptographic signing mechanism or wallet to perform x402 (USDC on Base) payments. The absence of declared credential requirements is disproportionate and unexplained. That makes it unclear whether the gateway stores/uses its own credentials (and therefore has broad access) or expects the agent/user to provide secrets at runtime.
Persistence & Privilege
The skill does not request 'always: true' or any persistent installation; autonomous invocation is allowed but that's the platform default. There's no indication it modifies other skills or system settings. Nevertheless, because the skill can perform external actions (post/schedule content) the combination of autonomous invocation + the unclear credential/payment model increases operational risk and should be considered by the user.
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 mcf-ugc-factory
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /mcf-ugc-factory 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
Initial release of UGC Factory: an AI-powered content generation API for video, scripts, automation, and analysis. - Launches complete API for autonomous UGC creation: script writing, video production with avatars and synthetic voices, and scheduling. - Offers tools for TikTok and YouTube analysis, content automation, and prompt suggestions. - Provides media management features including B-roll sourcing, uploads, audits, and watermark removal. - Requires x402 (USDC on Base) payment for all endpoints.
元数据
Slug mcf-ugc-factory
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

UGC Factory 是什么?

AI-powered video and content generation pipeline with script writing, TikTok automation, YouTube analysis, media library, avatars, and voice synthesis — buil... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 89 次。

如何安装 UGC Factory?

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

UGC Factory 是免费的吗?

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

UGC Factory 支持哪些平台?

UGC Factory 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 UGC Factory?

由 Cameron48(@cameron48)开发并维护,当前版本 v1.0.0。

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