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nihaixia

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Enables rapid classical Chinese medicine diagnosis through structured formulas and case-based reasoning, reducing diagnostic time and improving consistency f…

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,8个诊断公式+快速诊断流程图+脉舌速查+七步走思维模式(v2.1.0新增),蒸馏129条伤寒论 · 23篇金匮 · 71篇黄帝内经 · 345种本草 · 849个医案 · 2,452页讲义

1,952 starsFreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables rapid classical Chinese medicine diagnosis through structured formulas and case-based reasoning, reducing diagnostic time and improving consistency for practitioners using evidence from historical medical texts.

Chinese medicine practitioners and clinics requiring systematic diagnostic workflows based on classical frameworks.

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https://github.com/jangviktor-web/nihaixia

By jangviktor-web

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install jangviktor-web/nihaixia

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Diagnose traditional Chinese medicine conditions using Ni Haixia's classical frameworks and formulas
CostFree

Trust Signals Auto-scanned

Stars1,952Last updated2026-08-11Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-11 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 1,952 GitHub stars; contributors unknown; last commit 0d ago; license no license.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
2/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.15 / 5.00 UsableEvaluatedAug 2026
Scored from trust signals (evidence-eval-v1): 1,952 GitHub stars; contributors unknown; last commit 0d ago; license no license.

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