SKILLEMALL.ai

AD foreign-company-background-check

国外企业背景调查技能。当用户提到"背调"、"背景调查"、"调查某公司"、"了解某公司"、"查一下某公司"、"company background check"、"due diligence"等关键词,并涉及国外/海外企业时自动触发。支持通过公司名称或邮箱域名进行多维度背调,涵盖社交媒体、官方网站、新闻动态、工商信息、专利知识产权、政府合同、制裁合规筛查等,并推荐同行业类似企业。背调过程中发现的所有联系人方式均纳入报告。

ClawHub Agent Skills author: 蟹老板 v1.0.0 MIT-0 3 files body ≈ 1 802 tokens Open the sourceclawhub.ai analyzed 2 d ago

国外企业背景调查技能。当用户提到"背调"、"背景调查"、"调查某公司"、"了解某公司"、"查一下某公司"、"company background check"、"due…

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureMarketingMedia and videoSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
D
46/100
Unfinished process
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: 3. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 59 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1802 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

  • +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
  • +5Description quotes 3 example trigger phrases
  • +3Description length 211: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 59 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

External checks

ClawHub: suspicious
The skill is a disclosed company due-diligence workflow, but it also directs broad collection and inference of individual contact details that can become a targeting-ready dossier.
LLM: suspicious (high) · VirusTotal: · 12 Jun 2026