AC ljh-shangxiang
商详页说服地图。把定位、卖点、场景、人群和验证证据编排成商品详情页策略、逐屏结构与内容文档，可选输出低保真 HTML。 触发方式：/ljh-shangxiang、「商详页怎么排」「商品详情页怎么讲」「详情页信息架构」「货架转化怎么接」「帮我排一张商详页地图」 Product-detail persuasion map. Turn positioning, selling points, scenarios, audience insights, and validation evidence into a screen-by-screen product-detail strategy, with optional low-fidelity HTML. Trigger: /ljh-shangxiang, "how should I structure the product detail page", "build a product-detail information architecture", "improve shelf conversion" 最终视觉设计、生图、成片制作、平台发布等非策略任务不要自动触发。
商详页说服地图。把定位、卖点、场景、人群和验证证据编排成商品详情页策略、逐屏结构与内容文档，可选输出低保真 HTML。 触发方式：/ljh-shangxiang、「商详页怎么排」「商品详情页怎么讲」「详情页信息架构」「货架转化怎么接」「帮我排一张商详页地图」 Product-detail persuasion map.
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "slug"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 70 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2350 tokens
- 100Running it twice. No mutating operations
- low 16 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
- +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
- +5Description quotes 3 example trigger phrases
- +3Description length 517: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 70 items
- +4Has examples (5 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.