SKILLEMALL.ai

AC yinyo-liuyao

六爻断卦引擎(野鹤先生法)。基于《增删卜易》全文蒸馏,120条经验规则 + 412个应验卦例 + 64卦纳甲常量表。 【何时触发】 - 用户说"帮我断一卦""解卦""占卜""六爻""起卦""问卦" - 用户给出卦象信息(卦名/六爻装卦/动爻)并问吉凶/应期/成败 - 用户问"这件事能不能成""什么时候出结果"且手上有卦象 - 用户问"用神取什么""月破怎么断""旬空怎么处理"等六爻技术问题 【何时不触发】 - 用户只是问"什么是六爻"(知识问答,不断卦) - 用户给的是八字/紫微/塔罗/梅花易数(不是六爻体系) - 用户没有卦象只说"帮我算一算"(需要先起卦) - 纯情感倾诉/人生规划(不需要断卦) 【用户输入要求】 必须提供:起卦时间(年月日)、占什么事、主卦名、各爻六亲+地支+世应+动爻。变卦名如有动爻则提供。 如果用户只给卦名不给装卦信息,引擎会先按纳甲常量表自动装卦。

ClawHub Agent Skills author: 辉哥 v1.0.0 MIT-0 2 files body ≈ 954 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

ReferenceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
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: 2. 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. 40 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 954 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 3 example trigger phrases
  • +3Description length 396: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 40 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This is an instruction-only Liuyao divination skill with no code or hidden system access.
LLM: benign (high) · VirusTotal: · 29 May 2026