# JuneYaooo/nihaisha-nishi-tcm

倪海厦中医课程资料的 Agent Skill：支持课程检索、方证穴位辨析、学习笔记整理与板书截图证据索引。 |  An Agent Skill for Ni Haisha TCM course study, formula-pattern lookup, acupoint reference, and screenshot evidence indexing.

Repository: https://github.com/JuneYaooo/nihaisha-nishi-tcm
Canonical: https://ross.abutalabs.com/products/nihaisha-nishi-tcm
Language: Python
License Family: other
Topics: acupuncture, agent-skills, claude-code-skills, codex-skill, nihaixia, shennong, tcm, tcmcp, traditional-chinese-medicine, traditional-chinese-medicine-healthcare, nihaisha, nishi
Last push: 2026-08-09T11:58:00+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 96, release rhythm 35, longevity 7
- inputs: {"age_days": 99, "days_push": 24, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, young, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2019, forks 433 (observed 2026-08-28T04:06:06.141906+00:00)

## What it is
An Agent Skill for Claude Code / Codex / OpenClaw that organizes Ni Haixia's traditional Chinese medicine course materials into a searchable, traceable knowledge base. It supports natural-language lookup by symptom, formula, acupoint, or course module, with screenshot and PDF page-level evidence indexing and safety boundaries against medical advice.

## Use cases
- search Ni Haixia TCM lectures by symptom or plain-language description
- look up formula-pattern correspondences and acupoint references
- generate per-lesson review plans and study notes
- find board-screenshot evidence for a formula or point
- trace course claims back to PDF page-level sources
- compare herbal properties and dosages across course modules

## When to choose
- you are studying Ni Haixia's TCM courses and want an AI agent with structured, citable course knowledge
- you need formula, acupoint, or herb lookups grounded in screenshot and PDF evidence
- you want a skill with explicit safety boundaries for TCM theory study

## When to avoid
- you need actual medical diagnosis, prescriptions, or dosage guidance
- you need the RAG + knowledge-graph mode, which is currently withdrawn
- you require a medically reviewed or clinically validated reference

## Facets
- artifact type: plugin
- maturity: active
- function: search-engine, rag, nlp, documentation
- domain: education, healthcare, developer-tools
- platform: python, cli, cross-platform
- tags: agent-skills, claude-code, tcm, traditional-chinese-medicine, acupuncture, ni-haixia, course-retrieval, evidence-indexing, knowledge-base, natural-language-processing

## Member repositories
- JuneYaooo/nihaisha-nishi-tcm (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:06.141906+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:00:25.632387+00:00, confidence not recorded.
  - readme: https://github.com/JuneYaooo/nihaisha-nishi-tcm (fetched 2026-08-28T04:06:06.141906+00:00, sha e727592a0be2)
- Data as of 2026-08-30T08:39:29.467469+00:00.