BD qinghu-shopee-hot-intercept
青虎AI Shopee 爆款截流跟卖：按站点和类目拉 Shopee 商品榜单，批量查商品详情与趋势快照，分析爆款和飙升款的价格带与销量结构，判断同款跟卖还是差异化截流，并接 1688 以图搜款快速采集同款货源。当用户要在 Shopee 找爆款、看商品榜、做跟卖、分析台湾/马来/印尼/泰国/菲律宾/新加坡/越南/巴西站的热卖商品时必须触发。关键词：青虎AI、Shopee、虾皮、东南亚、爆款、跟卖、截流、商品榜单、飙升款、采集货源。
青虎AI Shopee 爆款截流跟卖：按站点和类目拉 Shopee 商品榜单，批量查商品详情与趋势快照，分析爆款和飙升款的价格带与销量结构，判断同款跟卖还是差异化截流，并接 1688 以图搜款快速采集同款货源。当用户要在 Shopee…
As a process D 43/100 · 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: 2. 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 43/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 100Steps. 32 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1581 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
- +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 216: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 32 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.