SKILLEMALL.ai

BC juhe-enterprise-details-a2a

基于聚合数据企业信息精确查询 API,根据企业全名、注册号或统一社会信用代码查询企业详细工商信息,包括法人、注册资本、经营范围、股东、主要人员、分支机构、变更记录、经营异常等。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。 企业信息精确查询技能是根据用户提供的企业名称或注册号,提供企业工商详细信息的支付宝 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企业名称或注册号至聚合数据服务端,无需提供手机号、身份证等其他个人隐私。 适用于用户查询企业工商档案、股东结构、变更记录、经营异常等场景。

ClawHub Agent Skills author: juhe-skills v1.0.5 MIT-0 4 files body ≈ 1 252 tokens Open the sourceclawhub.ai analyzed 2 d ago

基于聚合数据企业信息精确查询 API,根据企业全名、注册号或统一社会信用代码查询企业详细工商信息,包括法人、注册资本、经营范围、股东、主要人员、分支机构、变更记录、经营异常等。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

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description 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. 75 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1252 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 310: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 75 items
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This skill is a disclosed paid enterprise-information lookup that sends only the requested company keyword to a fixed provider endpoint and uses an expected Alipay payment flow.
LLM: benign (high) · VirusTotal: · 28 Aug 2026