SKILLEMALL.ai

BD lottery-helper

彩票开奖查询与推荐助手。查询双色球、大乐透、排列三、排列五、福彩3D、北京快乐8、七乐彩、七星彩的开奖信息,支持最新一期、指定期数或时间段查询;自动将结果导出为 txt/md/xlsx/sqlite;根据历史数据生成推荐号码组合并说明计算依据。触发词:彩票、开奖、查彩、双色球、大乐透、排列三、推荐号码、彩票数据。

ClawHub Agent Skills author: zhuce1ge v1.0.1 MIT-0 7 files · 3 scripts body ≈ 741 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

彩票开奖查询与推荐助手。查询双色球、大乐透、排列三、排列五、福彩3D、北京快乐8、七乐彩、七星彩的开奖信息,支持最新一期、指定期数或时间段查询;自动将结果导出为 txt/md/xlsx/sqlite;根据历史数据生成推荐号码组合并说明计算依据。触发词:彩票、开奖、查彩、双色球、大乐透、排列三、推荐号码、彩票数据。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureExcelSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
D
46/100
Unfinished process
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: 7. 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 46/100

  • 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
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 100Steps. 17 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 741 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 157: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 17 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 3 scripts are documented

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

External checks

ClawHub: suspicious
The skill mostly does what it says, but its Excel export can place unvalidated external lottery data into spreadsheets, which users should review before installing.
LLM: suspicious (medium) · VirusTotal: · 16 Sept 2026