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BD upkuajing-global-company-people-search

Search global companies and professional contacts for cross‑border B2B lead generation. Help exporters, sourcing agents and sales teams identify purchasing decision‑makers, source qualified suppliers and speed‑up international customer acquisition. Access business registration records, company intelligence and verified contact details including Emails, Phone numbers and WhatsApp profiles. Optimized for export‑oriented client development, company background verification and global supplier prospecting. Trigger: find companies, find people, export sales leads, B2B leads, verify a contact, get verified business emails, global supplier search

ClawHub Agent Skills author: upkuajing openapi skills v1.0.10 MIT-0 18 files · 9 scripts body ≈ 2 875 tokens Open the sourceclawhub.ai↗ analyzed 9 d ago

Search global companies and professional contacts for cross‑border B2B lead generation.

As a process D 47/100 · Unfinished process — References files that are not bundled: scripts/*.py

GeneratorWhatsAppProcurementSales and CRMData and analyticstype 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
91/100
safety, quality, tests
Safety 60%
99
Quality 40%
79
Run on models
none yet
Process rating
D
47/100
Unfinished process
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. 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:68
    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 missing-ref reference to a missing file: scripts/*.py

Process rating: all ten parameters 47/100

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
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 85Steps. 88 steps, 2 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2875 tokens
  • 100Running it twice. Mutating operations check current state
  • 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 647: 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: 79.

External checks

ClawHub: suspicious
The skill is coherent but should be reviewed carefully because it can retrieve personal contact data, incur paid API usage, and stores API keys in a plaintext local file.
LLM: suspicious (high) · 16 Sept 2026