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UGC Creator Machine
作者
nicemaths123
· GitHub ↗
· v1.0.0
· MIT-0
80
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install ugc-creator-machine
功能描述
Find brands actively buying UGC, generate winning ad scripts, personalized pitches, rate cards, and produce 5 demo videos plus a 30-day client acquisition plan.
安全使用建议
Do not install or run this skill until the author provides clarifications. Ask for explicit, concrete details: (1) a list of required environment variables or API keys (Apify token, InVideo API key, Claude API key) and justification for each, (2) exact network endpoints the skill will call and whether those calls go through the platform or a third‑party server, (3) how authentication is performed and whether you must supply personal credentials (never share long‑lived personal passwords; prefer scoped API tokens), (4) where scraped data and generated videos are stored and for how long, and how personal/contact data is handled (consent, privacy), (5) sample API calls or a minimal runbook showing how the skill uses Apify/InVideo/Claude so you can audit expected behavior. If you must proceed, only supply least‑privilege, revocable API keys, test in an isolated account, and consider disabling autonomous invocation until you can verify runtime behavior. If the author cannot supply required integration details, treat the skill as untrusted.
功能分析
Type: OpenClaw Skill
Name: ugc-creator-machine
Version: 1.0.0
The skill bundle automates a UGC (User Generated Content) business workflow, including brand discovery via Apify scrapers and video generation via InVideo AI. While it requires sensitive API keys (Apify and InVideo) and contains affiliate links in SKILL.md, these are aligned with its stated purpose of building a creator business. The instructions for the AI agent are focused on data processing and content generation without any evidence of malicious intent, data exfiltration, or unauthorized execution.
能力标签
能力评估
Purpose & Capability
The skill claims to scrape TikTok/Meta/Instagram/LinkedIn and produce videos via InVideo AI and to use Apify and Claude AI. Yet the manifest declares no required environment variables, no API keys, no install steps, and no helper binaries. A skill that actually performs scraping and calls external APIs would normally require API keys, tokens, or at least clear instructions on authentication and allowed network endpoints. The lack of declared credentials or install mechanisms is incoherent with the stated purpose.
Instruction Scope
SKILL.md describes scraping ad libraries and LinkedIn to find decision‑makers and extracting top performing creatives — actions that involve web scraping and collecting contact/personal data. The provided instructions (excerpt) remain within the high‑level purpose, but they don't explain how authentication, rate limiting, or legal/ethical constraints are handled. They also imply network I/O to multiple external services without declaring how the agent should authenticate or where resulting data (including personal contacts) will be stored or transmitted.
Install Mechanism
This is an instruction‑only skill with no install spec or code files, which by itself is low risk because nothing is written to disk. However, the workflow depends on external services (Apify, InVideo) that would normally require an integration path — those integration details are missing rather than handled via an install mechanism.
Credentials
No environment variables or primary credentials are declared, yet the skill explicitly references paid third‑party services (Apify, InVideo, Claude). That implies missing required secrets (API keys/tokens). Requesting no credentials when external APIs are central to operation is disproportionate and ambiguous. Also the skill's goal to extract decision‑maker contacts suggests collection of personal data; there is no guidance on consent, storage, or data minimization.
Persistence & Privilege
The skill does not request always:true, does not modify other skills, and is user‑invocable only. There is no apparent excessive privilege requested in the manifest itself.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install ugc-creator-machine - 安装完成后，直接呼叫该 Skill 的名称或使用
/ugc-creator-machine触发 - 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 AI UGC Creator Machine.
- Identifies brands actively buying UGC by scraping TikTok, Instagram, and brand databases.
- Scores each brand for deal potential, fit, and ad spend signals.
- Reverse-engineers successful UGC ad scripts from top creatives.
- Generates personalized pitches and rate cards for each target brand.
- Automatically creates 5 ready-to-send UGC demo videos with InVideo AI.
- Builds a complete UGC business pipeline including a 30-day client acquisition calendar.
元数据
常见问题
UGC Creator Machine 是什么？
Find brands actively buying UGC, generate winning ad scripts, personalized pitches, rate cards, and produce 5 demo videos plus a 30-day client acquisition plan. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 80 次。
如何安装 UGC Creator Machine？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install ugc-creator-machine」即可一键安装，无需额外配置。
UGC Creator Machine 是免费的吗？
是的，UGC Creator Machine 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
UGC Creator Machine 支持哪些平台？
UGC Creator Machine 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 Creator Machine？
由 nicemaths123（@nicemaths123）开发并维护，当前版本 v1.0.0。
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