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 hhszzzz · MCP Server · ★ 574
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is taibu safe to install? View the security audit →
太卜 将传统命理文化与AI深度融合 Language: 中文 | English 在线体验 · 报告问题 产品亮点 多命理体系 - 八字、六爻、紫微斗数、奇门遁甲、大六壬、梅花易数、塔罗、MBTI、面相、手相、合盘、周公解梦 AI智能分析 - 支持导出命理体系文本进行AI分析，多模型支持，深度推理，视觉识别 MCP Server - 支持 Model Context Protocol（MCP），可在支持MCP的客户端中直接调用命理工具 历史记录、知识库与@提及 - 支持存储所有命理体系的记录，可将命理体系纳入个人知识库，显式引用命理体系数据源 AI个性化 - 表达风格/用户画像/自定义指令 + 上下文、提示词预算可视化 多端体验 - Web + iOS/Android 客户端 社区与激励 - 命理记录、匿名讨论、签到激励 命理功能预览 · 十二宫位、三方四正· 主星、辅星、杂曜、四化（含自化）· 命主星/身主星、小限、博士十二星·
| Stars | 574 |
| Forks | 115 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 59.9301492051488/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-01 |
| Created | 2026-01-04 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
These tools work well together with taibu for enhanced workflows:
Looking for a taibu alternative? If you're comparing taibu with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
八字、紫微、星盘、六爻、梅花、奇门、大六壬、小六壬、塔罗、雷诺曼、灵签、择日一站式玄学算命占卜工具包，输出结构化提示词与数据。提供公开 API、MCP Server 与 skill。
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taibu is 🔮 高精度AI算命工具，涵盖八字、紫微斗数、六爻、梅花易数、奇门遁甲、大六壬、小六壬、占星术、太乙神数、塔罗、MBTI、面相手相、合盘配对、每日/每月运势、周公解梦等。支持MCP服务和Skills. It is categorized as a MCP Server with 574 GitHub stars.
taibu is primarily written in TypeScript. It covers topics such as astrology, bazi, divination.
You can find installation instructions and usage details in the taibu GitHub repository at github.com/hhszzzz/taibu. The project has 574 stars and 115 forks, indicating an active community.
The top alternatives to taibu on Agent Skills Hub include mingyu, claude-code-plugins-plus-skills, mcp. 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: