No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by miantiao-me · Agent Tool · ★ 563
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is aigc-weekly safe to install? View the security audit →
Agili 的 AIGC 周刊 一个由 Agentic AI Agent 驱动的 AIGC（人工智能生成内容）精选周刊。本项目利用最新的 AI 和 Serverless 技术，为您提供最新的资讯、工具和资源。 在线阅读: RSS订阅: 🚀 特性 AI 智能策展：利用 Agentic AI Agent 自动发现和筛选内容。 现代技术栈：基于 Next.js 15、Payload CMS 3.0 和 Cloudflare 边缘基础设施构建。 Serverless 架构：完全部署在 Cloudflare (Workers, D1, R2, Containers) 上，实现高性能和低延迟。 Agent MCP 集成：使用模型上下文协议 (MCP) 允许 AI Agent 直接与 CMS 交互。 🛠 技术栈 框架：Next.js (App Router) & OpenNext CMS：Payload CMS (Headless) 数据库：Cloudflare D1 (SQLite) 存储：Cloudflare R2 (对象存储) Agent 框架：OpenCode Agent 运行时：Cloudflare Containers （需要付费套餐，或者在本地运行） 边缘运行时：Cloudflare Workers 🏗 架构 本项目包含三个主要组件： Next.js 应用 ()：负责面向读者的前端页面以及 Payload CMS 管理界面。 OpenCode Agent ()：一个独立的 Agent 服务，运行在 Cloudflare Containers 上，负责收集信息并通过 MCP 更新 CMS。 Cloudflare Worker ()：转发请求到 Container 并控制其生命周期。 🏁 快速开始 前置要求 Node.js：v22 或更高版本 pnpm：v10 或更高版本 Cloudflare 账号：用于 D1、R2 和 Workers
| Stars | 563 |
| Forks | 65 |
| Language | TypeScript |
| Category | Agent Tool |
| License | AGPL-3.0 |
| Quality Score | 66.1798910234957/100 |
| Open Issues | 8 |
| Last Updated | 2026-09-21 |
| Created | 2025-11-29 |
| Platforms | claude-code, node |
| Est. Tokens | ~14k |
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aigc-weekly is Agili 的 AIGC 周刊 - 一个由 Agentic AI Agent 驱动的 AIGC（人工智能生成内容）精选周刊。. It is categorized as a Agent Tool with 563 GitHub stars.
aigc-weekly is primarily written in TypeScript. It covers topics such as agent, ai, claude-agent.
You can find installation instructions and usage details in the aigc-weekly GitHub repository at github.com/miantiao-me/aigc-weekly. The project has 563 stars and 65 forks, indicating an active community.
aigc-weekly is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to aigc-weekly on Agent Skills Hub include mcp-shrimp-task-manager, agents, chunkhound. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: