AC ski-assistant
Global ski resort assistant covering 854 resorts across 40+ countries. Plan trips, compare prices, analyze your form, and find early-bird deals. 全球滑雪助手，覆盖 854 座雪场（40+ 国，中国 470 座最全）。帮你挑雪场、查价格、看动作、盯早鸟、报天气。 Triggers / 触发词: ski, snowboard, 滑雪, 雪票, 雪场, 去哪滑, 外滑, 早鸟票, 季卡, 滑雪攻略, 动作分析, weather, budget, coaching. Responds naturally to casual requests in Chinese or English — no special keywords needed. 自然语言触发：周末去哪滑、雪票太贵了、帮我看看这个动作、万龙多少钱、早鸟票什么时候买。 Not for: non-ski travel, general city weather, non-winter sports. 不覆盖：非滑雪旅行、城市天气预报、其他运动装备。
As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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: 23. 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")
Process rating: all ten parameters 54/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 8 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1018 tokens
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
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 529: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 8 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 7)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.