BF alipay-pay-for-service
支付宝支付服务处理技能。解析收银台链接、提交支付请求、查询支付结果. 当以下任一情况出现时，应当调用本技能处理支付流程： (1) 对话上下文中出现了 cashier*.alipay.com 或 *excashier*.alipay.com 域名的 URL，且用户表现出了支付意愿。 (2) 任何工具、技能或 API 的返回结果中包含了支付宝收银台链接或含有"请使用支付宝支付"等支付指引文字； (3) 用户表达了支付、付款、买单、结账等意图，或提到使用支付宝、alipay支付； 关键词：支付、付款、支付宝、cashier、alipay、买单、结账、付钱、pay、收银台、trade、submit-payment
支付宝支付服务处理技能。解析收银台链接、提交支付请求、查询支付结果.
As a process F 35/100 · Will not run — References files that are not bundled: url
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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") - warning
missing-refreference to a missing file: url
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: url
- 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
- 100Steps. 94 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3594 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (4 tags): a typed call is more reliable
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 306: enough signal without eating the budget
- +4Structure: 35 headings
- +3Step-by-step instructions: 94 items
- +4Has examples (18 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.