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B2B线索生成工具集，聚合海关贸易情报、全球企业深度背调与LinkedIn职业人脉数据。分析HS编码市场分布/趋势/占比、剖析任一公司的贸易规模/伙伴/产品/港口、获取宏观国家级贸易概览与Top买家/供应商、开展公司深度背调（员工、股东/UBO、决策人）并绘制LinkedIn职业人脉图谱（同事、校友、履历与学历）。 Trigger: B2B线索生成, 海关贸易分析, HS编码搜索, 贸易地区分布, 进出口趋势, 公司贸易占比, 企业贸易统计, 贸易伙伴分析, 宏观贸易概览, Top买家供应商, 美国进口数据, 全球企业搜索, 公司员工名单, 股东UBO, 人物搜索, 同事校友, 工作经历学历, 学校详情, 尽职调查背调, LinkedIn找公司, LinkedIn找人, 职业人脉图谱, 高管猎头, 海外线索生成, 跨境供应商寻源

ClawHub Agent Skills author: upkuajing openapi skills v1.0.1 MIT-0 80 files body ≈ 2 113 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

B2B线索生成工具集，聚合海关贸易情报、全球企业深度背调与LinkedIn职业人脉数据。分析HS编码市场分布/趋势/占比、剖析任一公司的贸易规模/伙伴/产品/港口、获取宏观国家级贸易概览与Top买家/供应商、开展公司深度背调（员工、股东/UBO、决策人）并绘制LinkedIn职业人脉图谱（同事、校友、履历与学历）。…

As a process F 35/100 · Will not run — References files that are not bundled: indexes/customs-analysis.md, indexes/customs-company.md, indexes/customs-overview.md

GeneratorProcurementSales and CRMtype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
73
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: indexes/customs-analysis.md, indexes/customs-company.md, indexes/customs-overview.md
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. 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:72
    Reads a .env file
    cat ~/.upkuajing/.env

Files scanned: 80. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: indexes/customs-analysis.md
  • warning missing-ref reference to a missing file: indexes/customs-company.md
  • warning missing-ref reference to a missing file: indexes/customs-overview.md
  • warning missing-ref reference to a missing file: indexes/global-depth.md
  • warning missing-ref reference to a missing file: indexes/linkedin.md
  • warning missing-ref reference to a missing file: scripts/*.py
  • warning missing-ref reference to a missing file: references/<xxx>-api.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: indexes/customs-analysis.md, indexes/customs-company.md, indexes/customs-overview.md
  • 0Tools and files. 7 referenced file(s) missing: indexes/customs-analysis.md, indexes/customs-company.md, indexes/customs-overview.md
  • 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. 45 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2113 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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
  • -336 of 39 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 370: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (39 of 39)

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

External checks

ClawHub: suspicious
The skill appears purpose-built for B2B lead generation, but it should be reviewed because it handles paid account actions, API credentials, and personal contact data with limited privacy and storage safeguards.
LLM: suspicious (high) · VirusTotal: · 24 Aug 2026