SKILLEMALL.ai

AF cadastral-change-detection

Topology-aware cadastral parcel change detection between two epochs. Identifies new, deleted, expanded, reduced, split, and merged parcels from cadastral vector data (宗地/地块/调查图斑). Use when comparing two epochs of land parcels, auditing boundary changes, or generating cadastral change ledgers.

ClawHub Agent Skills author: ruiduobao v2.0.0 MIT-0 6 files body ≈ 897 tokens Open the sourceclawhub.ai analyzed 2 d ago

Topology-aware cadastral parcel change detection between two epochs.

As a process F 52/100 · Will not run — References files that are not bundled: references/sample_before.geojson, references/sample_after.geojson

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: references/sample_before.geojson, references/sample_after.geojson
Tools and files w 18
0
Failures and branches w 10
0
Running it twice w 4
30
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/sample_before.geojson
  • warning missing-ref reference to a missing file: references/sample_after.geojson

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: references/sample_before.geojson, references/sample_after.geojson
  • 0Tools and files. 2 referenced file(s) missing: references/sample_before.geojson, references/sample_after.geojson
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (cadastral-change-detection) differs from the folder (geoskill-cadastral-change-detection)
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 9 steps
  • 100Execution cost. Instruction body is 897 tokens
  • 100Progress reporting. Reports progress

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 293: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 9 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: clean
This skill appears to perform disclosed, local cadastral parcel comparison and writes expected local analysis outputs without evidence of upload, hidden execution, or destructive behavior.
LLM: benign (high) · VirusTotal: · 31 Jul 2026