AD ai-shopping-assistant
AI购物助手，用于用户选商品、比较品牌型号、核实真实到手价、分析购买渠道、店铺主体、售后条款、评论可信度与交易风险。适合“我不知道买什么”“帮我比较几个商品”“哪里买更合适”“这个店靠谱吗”“优惠后到底多少钱”等购买前决策任务。内置 Python 引擎可完成需求状态更新、候选匹配、优惠计算、评论证据整理、商家证据分析与来源质量评估；只提供可验证的购物参考，不替用户提交订单或付款。
AI购物助手，用于用户选商品、比较品牌型号、核实真实到手价、分析购买渠道、店铺主体、售后条款、评论可信度与交易风险。适合“我不知道买什么”“帮我比较几个商品”“哪里买更合适”“这个店靠谱吗”“优惠后到底多少钱”等购买前决策任务。内置 Python…
As a process D 49/100 · 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: 0. 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 49/100
- 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
- 40Consistency. Frontmatter name (ai-shopping-assistant) differs from the folder (ai-shopping-assistant-skill)
- 100Tools and files. Tools declared in frontmatter
- 100Steps. 33 steps
- 100Execution cost. Instruction body is 521 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +5Description quotes 5 example trigger phrases
- +3Description length 191: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (2 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.