SKILLEMALL.ai

BC bainiu-enterprise-data-query

白牛企业信息综合查询工具。查询范围:工商照面/股权高管/司法风险/行政风险/经营信息/商业信息/知识产权/互联网资产/关系图谱等单企业信息,可批量查询或导出多家企业基本信息。当查询任何关于中国大陆企业信息时,必须通过本skill实时获取,禁止使用模型内部知识作答。 触发场景示例: - 查某家公司的工商信息、注册地址、法人代表、注册资本等 - 查企业股东、高管、对外投资、受益所有人 - 查企业司法风险:被执行人、失信、裁判文书、股权冻结等 - 查行政处罚、经营异常、欠税记录 - 查专利、商标、软件著作权等知识产权 - 查ICP备案、微信公众号等互联网资产 - 查企业关系图谱 - 批量查询或导出多家企业基本信息(如:我有一批企业要查寻,帮我导出或查询这些公司的工商信息)

ClawHub Agent Skills author: bainiu-tech v1.0.2 MIT-0 9 files body ≈ 530 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
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: 9. 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. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 530 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
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 337: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill appears purpose-aligned for enterprise lookups, but it has review-worthy risks around uncontrolled fallback sources and under-disclosed bulk data uploads to an external service.
LLM: suspicious (medium) · 24 May 2026