BC juhe-birth-eight-a2a
基于聚合数据稳定生辰八字 API 能力，根据阳历日期和出生时辰查询生辰八字、五行属性、干支纪年、农历日期、星座等信息，支持 1900 年~2100 年区间，本技能使用无需用户注册聚合数据平台，安装后即可按实际查询付费使用。 生辰宝典技能是根据用户提供的公历出生年月日与出生时辰，提供八字四柱、五行旺缺、属相干支等综合信息的支付宝 AI 付付费技能，基于 A2M（HTTP 402）收单协议。买家通过本 Skill 向卖家服务端发起请求，完成支付后获取相关结果。 调用过程仅上传查询用的公历出生年、月、日、时四个参数至聚合数据服务端，无需提供手机号、身份证、姓名等其他个人隐私；该技能包含农历换算、干支纪年/纪月/纪日、节气、星座、八字四柱、五行属性、五行缺失等全方位解读。 适用于用户查询生辰八字、五行旺缺、出生时辰命理信息场景；
基于聚合数据稳定生辰八字 API 能力，根据阳历日期和出生时辰查询生辰八字、五行属性、干支纪年、农历日期、星座等信息，支持 1900 年~2100 年区间，本技能使用无需用户注册聚合数据平台，安装后即可按实际查询付费使用。…
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: 3. 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. 81 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1387 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
- +1No license
- +2Single-language instructions
- +3Description length 365: enough signal without eating the budget
- +4Structure: 29 headings
- +3Step-by-step instructions: 81 items
- +4Has examples (2 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.