jangviktor-web/nihaixia

倪海厦视角的中医Agent Skill,基于倪海厦教学资料开发,蒸馏倪师伤寒论、金匮要略、黄帝内经、神农本草经、针灸篇等,人纪/医案/经方思维,六经辨证,八纲辨证,天机道,天纪,紫微斗数,易经,阴阳,八卦,五行,风水,地纪等,总结8个诊断公式+快速诊断流程图+脉舌速查+七步走思维模式,蒸馏129条伤寒论 ·...

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jangviktor-web/nihaixia has 3.5k+ stars and 650+ forks on GitHub, is written in HTML, and was last pushed on Oct 15, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 24 minutes ago
Added to GitGenius on September 23rd, 2026
Created on April 14th, 2026
Open Issues & Pull Requests: 3 (+1)
GitHub issues: Enabled
Number of forks: 654
Total Stargazers: 3,627 (+1)
Total Subscribers: 22 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 15.6 hours
Mean response time: 2.7 days
90th percentile: 5.6 days
Tracked items: 12

Maintainer activity

2 people did triage or write work on this repository in the last 12 months.

Counts unlabeled, assigned, unassigned, milestoned, demilestoned, locked, unlocked over the last 12 months. These are issue and pull request events that require triage or write permission. Commits and code review are not counted. labeled and renamed are excluded because GitHub issue forms record the issue author as the actor. Figures from October 18, 2026. This count is not comparable across projects: each project's automation decides which of these events a person emits. How this is counted.

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Issue Activity (beta)

Open issues: 2
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 90 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

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Detailed Description

Nihaixia is an AI Agent Skill that encodes the traditional Chinese medicine diagnostic and treatment framework of Ni Haixia into an AI system.

The tool addresses the challenge of making classical Chinese medicine knowledge systematically accessible to AI agents. It distills the complete teaching corpus of Ni Haixia, a prominent practitioner of classical herbal medicine, into structured diagnostic protocols and decision frameworks. The approach works by encoding six-meridian pattern differentiation, eight-principle differentiation, herbal formula selection logic, and clinical case reasoning into activatable agent skills. Users can trigger the system with keywords like "Ni Haixia perspective" or "classical formula thinking" to access diagnostic guidance grounded in this specific medical lineage.

The tool suits practitioners and researchers working with classical Chinese medicine who want AI assistance aligned with Ni Haixia's diagnostic methodology rather than generalist approaches. It is designed for integration into AI agent platforms including ClawHub, SkillHub, and Tencent IMA. The skill draws from structured source material including 129 classical formulas from the Shanghan Lun, 23 sections from the Jinkui Yaolue, 72 sections from the Huangdi Neijing, 374 medicinal substances from the Shennong Bencao Jing, over 1500 clinical cases, and more than 2400 pages of teaching materials.

The project maintains active distribution across multiple agent platforms with versioned releases. Installation pathways span dedicated skill marketplaces and manual deployment options, indicating ongoing platform integration work. The codebase is structured in HTML and supports both Chinese and English documentation, suggesting attention to accessibility across language communities.