Horace-Maxwell

Horace-Maxwell / horosa-skill

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GitHub-first, offline-capable AI skill for Horosa. 让你的AI本地挂载一个玄学家

16
5
100% credibility
Found Apr 07, 2026 at 16 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Horosa Skill delivers an offline layer of astrological charts, Chinese divination methods, and structured knowledge for AI assistants to use locally with persistent records.

How It Works

1
🔍 Discover Horosa Skill

You stumble upon this handy tool that lets everyday AI assistants perform real astrology and ancient divination right on your own computer, completely offline.

2
📥 Grab and set up

Download the package and run a quick setup to install the offline calculation engines on your machine.

3
🚀 Connect to your AI

Link it to your favorite AI like Claude or Open WebUI with one easy step, and launch the magic.

4
Ask your question
⭐
Birth chart

Explore your personal stars and influences.

🔮
Divination

Consult oracles like I Ching or ancient Chinese arts.

5
📊 Get clear results

Receive beautifully organized reports with explanations, charts, and structured details.

6
💾 Save for later

Everything gets stored safely on your device, ready to review or reuse anytime.

✨ Your mystic companion

Now your AI delivers precise, personal readings whenever you need guidance, all private and local.

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Star Growth

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AI-Generated Review

What is horosa-skill?

Horosa-skill is a GitHub-first, offline-capable Python skill that packages Horosa's occult algorithms—like astrology charts, Qimen Dunjia, and Zi Wei—into a local runtime any AI can call. Clone the repo, install the runtime via GitHub Releases for macOS or Windows, and expose 39 tools through an MCP server or JSON-first CLI for seamless integration with Claude, OpenClaw, or Open WebUI. It delivers structured outputs with export snapshots and persists every run as searchable local records in SQLite and JSON.

Why is it gaining traction?

Unlike prompt-based wrappers, it runs real Horosa methods offline with stable JSON contracts, hover knowledge bundles, and a natural-language dispatcher—no cloud APIs or guesswork. The lightweight repo pairs heavy runtime assets in Releases, plus built-in benchmarks and self-checks ensure reliability. MCP readiness hooks developers building local AI agents without vendor lock-in.

Who should use this?

AI tool builders integrating divination into agents like Claude Desktop or OpenClaw, especially those needing offline, structured occult data. Astrology researchers scripting batch analysis or chaining methods like solar returns with Qimen. Hobbyists running local MCP servers for persistent query histories without scattering scripts.

Verdict

Grab it if you need Horosa's algorithms in your AI workflow—docs, CLI (`horosa-skill serve`), and tests are solid despite 16 stars and 1.0% credibility score signaling early maturity. Run the self-check script first to verify your setup; it's production-ready for niche use but watch for fengshui gaps.

(198 words)

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