SKILLEMALL.ai

AF upkuajing-map-merchants-search

Pull bulk Google Maps business data with radius‑based filters. Gather merchant contact information, analyze market density and find distributors or overseas buyers for offline business expansion. Trigger: Google maps business scraper, bulk merchant data download, radius‑based lead search, distributor sourcing, competitor store analysis, regional market research, offline sales‑lead generation

ClawHub Agent Skills author: upkuajing openapi skills v1.0.6 MIT-0 14 files body ≈ 2 860 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 49/100 · Will not run — References files that are not bundled: scripts/*.py

AnalyzerInfrastructureSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
F
49/100
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. 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 · 0

✓ No critical or high findings

Files scanned: 14. 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 49/100

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
  • 100Steps. 75 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2860 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 6 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 395: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 75 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (2 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This is a coherent paid UpKuaJing merchant-search API skill, but it stores an API key locally and includes billing, update-check, and user-confirmed error-reporting flows users should understand.
LLM: benign (high) · VirusTotal: · 24 Aug 2026