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 PNGTRID · MCP Server · ★ 158
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is AnvilWiki safe to install? View the security audit →
AnvilWiki ⚒️ 带 AI 内容工作流的游戏 wiki 模板——广告收入 100% 归你。 开源、Cloudflare Pages 原生优化、零成本免费部署上线。 The game wiki template with an AI-native content workflow — 100% of your ad revenue. Open source, natively optimized for Cloudflare Pages, free to deploy. 📖 中文文档 · English Documentation Lighthouse 4×100 — 实测于 anvilwiki.pages.dev（2026-08-12） [](https:
| Stars | 158 |
| Forks | 131 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 61.8759401301913/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-20 |
| Created | 2026-08-11 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~18k |
These tools work well together with AnvilWiki for enhanced workflows:
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AnvilWiki is ⚒️ Open-source game wiki template. Astro + Cloudflare Pages. Free, fast, beginner-friendly. Static-first, zero-JS, AI-native content workflow, unlimited bandwidth.. It is categorized as a MCP Server with 158 GitHub stars.
AnvilWiki is primarily written in TypeScript. It covers topics such as ai-agents, astro, astro-template.
You can find installation instructions and usage details in the AnvilWiki GitHub repository at github.com/PNGTRID/AnvilWiki. The project has 158 stars and 131 forks, indicating an active community.
AnvilWiki is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to AnvilWiki on Agent Skills Hub include ai-dive-deep, llm-wiki, gate22. 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: