SKILLEMALL.ai
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BF b2b-lead-generation

Aggregate B2B lead-gen skill: customs trade intelligence + global company due-diligence + LinkedIn data. Analyze HS code market distribution/trends/shares, profile a company's trade scale/partners/products/ports, get macro trade overviews and top buyers/suppliers, run company background checks (employees, shareholders/UBO, decision-makers), map LinkedIn networks (colleagues, alumni, career & education).

ClawHub Agent Skills author: upkuajing openapi skills v1.0.1 MIT-0 80 files body ≈ 3 139 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Aggregate B2B lead-gen skill: customs trade intelligence + global company due-diligence + LinkedIn data.

As a process F 42/100 · Will not run — References files that are not bundled: indexes/customs-analysis.md, indexes/customs-company.md, indexes/customs-overview.md

GeneratorWriting and documentsSoftware developmentData 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
79/100
safety, quality, tests
Safety 60%
99
Quality 40%
50
Run on models
none yet
Process rating
F
42/100
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. 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:74
    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 frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Missing closing "quote at line 3, column 1: description: "Aggregate B2B lead-gen skill: customs trade intelligence + global… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • 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
  • note frontmatter-key unknown frontmatter key "Trigger"

Process rating: all ten parameters 42/100

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
  • 0Progress reporting. Says nothing while it works
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 85Steps. 45 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3139 tokens
  • 100Running it twice. Mutating operations check current state
  • low The response is described with custom markup (4 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 406: 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: 50.

External checks

ClawHub: suspicious
This skill matches its lead-generation purpose, but it handles paid queries and personal contact data with under-disclosed telemetry, weak storage controls, and incomplete privacy guidance.
LLM: suspicious (high) · 24 Aug 2026