AD 分院帽
分院帽人格测试（随机抽卷 + 麻瓜词典）。当用户说「给我分院」「我是哪个学院」「测测我适合哪个学院」「戴帽子」「霍格沃茨分院」时使用，用户抱怨「手打答案串太累/怕把题目搞混」时也直接走这里。首选生成单文件点选答题页：一屏一题、随机抽卷、点选即记住、答完点「提交判定」出卡；纯文本通道走三轮闭环，一屏出题 + 卷号 + 答案串回传。
分院帽人格测试（随机抽卷 + 麻瓜词典）。当用户说「给我分院」「我是哪个学院」「测测我适合哪个学院」「戴帽子」「霍格沃茨分院」时使用，用户抱怨「手打答案串太累/怕把题目搞混」时也直接走这里。首选生成单文件点选答题页：一屏一题、随机抽卷、点选即记住、答完点「提交判定」出卡；纯文本通道走三轮闭环，一屏出题 + 卷号 +…
As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 13. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 41/100
- 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 (分院帽) differs from the folder (sk-8bec7ec2fe24)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 66 steps
- 100Execution cost. Instruction body is 2923 tokens
- 100Running it twice. No mutating operations
- low 13 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
- +1No license
- +2Single-language instructions
- +3Description length 165: enough signal without eating the budget
- +4Structure: 30 headings
- +3Step-by-step instructions: 66 items
- +4Has examples (9 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: 74.