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AF swmm-network

Build, validate, and route SWMM pipe-network models for urban drainage from raw municipal shapefiles or structured GIS/CAD exports. Use when handling junctions, conduits, outfalls, xsections, network field-mapping configs, or wiring subcatchments to upstream nodes. Requires real pipe data as SHP / GeoJSON / CSV — native CAD (DXF/DWG) is not parsed and must first be exported to one of these. For data-scarce areas where only a bbox is available and no pipe inventory exists, use `swmm-anywhere` instead.

ClawHub Agent Skills author: Zhonghao Zhang v0.7.3 MIT-0 24 files body ≈ 2 304 tokens Open the sourceclawhub.ai↗ analyzed 20 h ago

Build, validate, and route SWMM pipe-network models for urban drainage from raw municipal shapefiles or structured GIS/CAD exports.

As a process F 36/100 · Will not run — References files that are not bundled: examples/import-junctions.geojson

AnalyzerData and analyticsAI and agentstype 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
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
Run on models
none yet
Process rating
F
36/100
Will not run
References files that are not bundled: examples/import-junctions.geojson
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: 24. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: examples/import-junctions.geojson

Process rating: all ten parameters 36/100

Will not run. References files that are not bundled: examples/import-junctions.geojson
  • 0Tools and files. 1 referenced file(s) missing: examples/import-junctions.geojson
  • 0Result and completion. Does not say what the result is
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 60 steps, 3 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2304 tokens

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
  • -31 of 10 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 505: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 60 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: clean
This skill appears to be a disclosed SWMM drainage-network data-processing helper that reads user-selected GIS/model files and writes derived model outputs.
LLM: benign (high) · VirusTotal: · 12 Jun 2026