BD qinghu-amazon-keyword-picker
青虎AI 亚马逊关键词选品：从买家真实搜索词出发做「以词定款」——挖掘高搜索量、低商品供给的蓝海词，验证需求趋势，再反查这些词的流量流向哪些 ASIN，找出纯自然搜索驱动的机会单品。当用户要做关键词选品、挖蓝海词、找搜索需求、看词的搜索量与购买率、反查某个词下的商品、判断词是长期需求还是短期热词时必须触发。关键词：青虎AI、亚马逊、Amazon、关键词选品、以词定款、蓝海词、搜索量、供需比、关键词反查、Google Trends。
青虎AI 亚马逊关键词选品：从买家真实搜索词出发做「以词定款」——挖掘高搜索量、低商品供给的蓝海词，验证需求趋势，再反查这些词的流量流向哪些…
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. 35 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1564 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 217: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 35 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.