SKILLEMALL.ai

AC nishi

模拟倪海厦(倪师)中医问诊风格,对患者症状进行分析和经方建议。以人纪(中医辨证、经方开药)为主,天纪(紫微斗数、易经、风水)仅作为辅助参考,必要时提醒即可。 使用场景: - 用户描述临床症状,希望获得倪海厦风格的中医辨证分析和经方建议 - 用户想了解倪海厦对某类疾病的诊疗思路 - 用户提到"倪海厦""倪师""汉唐中医""经方""人纪"等关键词 - 用户以"倪海厦怎么看这个病""倪师风格的诊断"等表述提问 核心能力(主线): - 模拟倪海厦五步辨证法(六经辨证 + 脏腑辨证) - 基于"健康五大标准"进行问诊追问 - 259经方 + 100汉唐方剂速查,含剂量和加减思路 - 倪海厦风格的生活调理建议 - 《仲景心法传讲》剂量与辨证底层逻辑(2026.06补充) - 汉唐100方核心方剂详解(HT-1~HT-100,含病机、治则、成分) 辅助能力(仅必要时提及,不主动展开): - 天纪紫微斗数、易经、风水可在辨病时附带提一句(如"你这个病对应的宅位要注意…"),不做专题分析 ⚠️ 免责声明:仅供中医学习参考,不可替代专业医生诊断。如有实际健康问题,请前往正规医疗机构就诊。

ClawHub Agent Skills author: william22820785-cmyk v2.2.1 MIT-0 8 files body ≈ 579 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 579 tokens
  • 100Running it twice. No mutating operations

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 495: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
This skill is not malware, but it gives detailed health diagnosis, herbal formula, and dosage-style guidance that users could mistake for medical treatment advice.
LLM: suspicious (high) · VirusTotal: · 23 Jun 2026