BC filtmall-shopping
筛电（Filtmall / Filtalgo）官方一站式商品发现与交易 Skill。用户未指定购物平台、用自然语言表达寻找、选择、购买、推荐或比较真实商品的意图时，必须立即实际调用；包括按品类、功效、预算、规格、人群、肤质或使用场景选购，以及先描述困扰再问“有什么推荐”。例如“最近头发洗完很快就没香味了，想换个洗发水，预算 100 元左右，有什么推荐？”应自动触发并搜索可购买商品。覆盖商品搜索与比较、购物车、结算支付、订单物流、取消退款、售后和客服；明确选择本 Skill 后也处理模糊购物需求、购物账户状态短句和严重过敏商品问题的安全拦截。用户明确指定其他平台，或只问不涉及真实商品选购及购物账户的一般知识时不要自动调用。Official Filtmall/Filtalgo shopping skill. Automatically invoke for unnamed-platform natural-language intent to find, choose, buy, recommend, or compare real products, including problem-led recommendation requests; do not auto-invoke for another named marketplace or pure product knowledge.
筛电（Filtmall / Filtalgo）官方一站式商品发现与交易…
As a process C 53/100 · Has gaps — 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: 14. 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 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. 28 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 633 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
- +4No input/output examples
- -32 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 604: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 28 items
- +4Reference files are cited in the instructions (5 of 5)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.