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AC world-boundary-download

Download global administrative boundary vector data (Shapefile / GeoJSON / GeoPackage / TopoJSON) for any country or multi-country region. Backed by geoBoundaries (CC BY 4.0, default) with GADM 4.1 and Natural Earth as fallbacks. Supports bbox clipping, multi-country merge, and a rich metadata API (year, source, license, area, vertex count).

ClawHub Agent Skills author: ruiduobao v5.0.1 MIT-0 38 files body ≈ 1 403 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Download global administrative boundary vector data (Shapefile / GeoJSON / GeoPackage / TopoJSON) for any country or multi-country region.

As a process C 57/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

IntegrationGitHubSoftware developmenttype 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
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
Run on models
none yet
Process rating
C
57/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

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: 30. 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")

Process rating: all ten parameters 57/100

  • 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
  • 40Consistency. Frontmatter name (world-boundary-download) differs from the folder (geoskill-world-boundary-download)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 19 steps
  • 100Execution cost. Instruction body is 1403 tokens
  • 100Running it twice. No mutating operations
  • low 10 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)
  • +2Single-language instructions
  • +3Description length 343: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 19 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: suspicious
The main downloader is mostly coherent, but the package also includes under-disclosed credential and geocoding utilities unrelated to boundary downloads, including hardcoded Earthdata credentials.
LLM: suspicious (high) · 1 Aug 2026