BD lottery-analyzer
彩票智能分析助手，支持双色球（SSQ）和大乐透（DLT）的深度数据分析、趋势预测和智能推荐。适用于：历史开奖数据统计分析、热号冷号追踪、奇偶和值走势、连号模式识别、智能号码推荐（单注/复式）、7+2/6+2复式方案生成。当用户需要分析彩票数据、生成推荐号码或查看号码热度排名时激活。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
This is a copy of a skill from another catalog; the rating counts the canonical one: lottery-analyzer (ClawHub)
How to improve
- 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: 21. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "last_updated" - note
frontmatter-keyunknown frontmatter key "data_included"
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (lottery-analyzer) differs from the folder (lottery-analyzer-backup-20260418-083724)
- 100Tools and files. No external tools needed
- 100Steps. 48 steps
- 100Execution cost. Instruction body is 2105 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
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
- -32 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 141: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 48 items
- +4Has examples (19 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.
External checks
ClawHub: clean
This lottery-analysis skill writes local lottery data and prediction files, but the behavior is disclosed, purpose-aligned, and confined to the skill’s own files.
LLM: benign (high) · VirusTotal: · 29 May 2026