SKILLEMALL.ai

AC hexalotto

六爻奇门测彩 V2.0 (HexaLotto) — 多彩种六爻推演娱乐 Skill, 支持双色球(SSQ)、大乐透(DLT)、六合彩(MARK6)三大彩种。 同时推算主号(红球/前区/平码)与特殊球(蓝球/后区/特码特肖)。 当用户提到"算一卦"、"六爻测彩"、"预测双色球"、"预测大乐透"、 "六合彩特码"、"特肖"、"帮我算下期号码"、"起一卦"、"排盘"、 "红球蓝球"、"前区后区"等关键词时触发。 也适用于用户提供一组彩票号码并要求进行六爻分析的场景。 注意:本 Skill 纯属娱乐与传统文化演示,不构成任何投资/博彩建议。

ClawHub Agent Skills author: Eamonnn101 v2.0.1 MIT-0 6 files body ≈ 1 020 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 6. 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 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 25 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1020 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +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
  • +3Description length 269: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 25 items
  • +4Has examples (9 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
The skill is a Chinese lottery-themed divination assistant with a small local script and no evidence of hidden access, persistence, credential use, or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026