SKILLEMALL.ai

BF upkuajing-global-company-people-search-zh

搜索全球企业信息、个人信息,用于全球贸易、跨境出口、海外采购商的线索开发。帮助出口贸易商、采购商、服务商、代理商及销售团队通过搜索,得到企业决策人信息、企业高管信息;寻找供应商,并加速海外客户获取。本产品提供企业注册信息、背景资料以及联系方式(邮箱、电话、WhatsApp)。适用于海外客户开发、企业背调、人才搜索等场景。

ClawHub Agent Skills author: upkuajing openapi skills v1.0.10 MIT-0 18 files body ≈ 1 524 tokens Open the sourceclawhub.ai analyzed 3 d ago

搜索全球企业信息、个人信息,用于全球贸易、跨境出口、海外采购商的线索开发。帮助出口贸易商、采购商、服务商、代理商及销售团队通过搜索,得到企业决策人信息、企业高管信息;寻找供应商,并加速海外客户获取。本产品提供企业注册信息、背景资料以及联系方式(邮箱、电话、WhatsApp)。适用于海外客户开发、企业背调、人才搜索等场…

As a process F 35/100 · Will not run — References files that are not bundled: scripts/*.py

ProcedureWhatsAppSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
67
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: scripts/*.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration read-dotenv SKILL.md:67
    Reads a .env file
    cat ~/.upkuajing/.env

Files scanned: 18. 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")
  • warning missing-ref reference to a missing file: scripts/*.py

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: scripts/*.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/*.py
  • 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. 88 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1524 tokens
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill

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
  • -32 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 161: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 88 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (3 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
The skill matches its stated lead-search purpose, but it handles personal contact data, paid account actions, plaintext API keys, and local result storage with insufficient privacy and secret-handling safeguards.
LLM: suspicious (high) · 24 Aug 2026