AD product-selection-assistant
电商选品助手。运营人员输入产品名称/描述/ASIN，AI自动联网搜索市场数据，从市场需求、竞争强度、利润空间、季节性、入场难度、增长趋势6大维度综合评分，给出"强烈推荐/建议上架/谨慎上架/不建议上架"的明确建议，并生成交互式HTML可视化分析报告。触发词：选品、选品分析、好不好卖、值不值得上架、能不能做、产品分析、上架建议、选品助手、帮我看看这个产品、这个产品能做吗。
电商选品助手。运营人员输入产品名称/描述/ASIN，AI自动联网搜索市场数据，从市场需求、竞争强度、利润空间、季节性、入场难度、增长趋势6大维度综合评分，给出"强烈推荐/建议上架/谨慎上架/不建议上架"的明确建议，并生成交互式HTML可视化分析报告。触发词：选品、选品分析、好不好卖、值不值得上架、能不能做、产品分析、…
As a process D 46/100 · 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: 4. 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 "agent_created"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 41 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 969 tokens
- 100Running it twice. No mutating operations
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 186: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 41 items
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.