AC ljh-duiqi
品·人群·内容对齐表生成器。喂产品资料，产出五块对齐表，核心是把产品语言翻译成消费者人话和画面的四列表。 触发方式：/ljh-duiqi、「帮我做一张品人群内容对齐表」「这个新品的卖点怎么翻译成人话」「帮编导团队对齐一下这个品」 Product-audience-content alignment table generator. Feed in product info, output a five-block alignment table with a selling-point translation table at its core. Trigger: /ljh-duiqi, "help me build a product-audience-content alignment table", "translate this product's selling points into consumer language" 团队排班表、项目进度对齐表等非内容电商语境，不要自动触发。
品·人群·内容对齐表生成器。喂产品资料，产出五块对齐表，核心是把产品语言翻译成消费者人话和画面的四列表。 触发方式：/ljh-duiqi、「帮我做一张品人群内容对齐表」「这个新品的卖点怎么翻译成人话」「帮编导团队对齐一下这个品」 Product-audience-content alignment table…
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. 45 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1700 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
- +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 2 example trigger phrases
- +3Description length 452: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 45 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.