A rule-based mapping tool for turning land-use and soil descriptions into SWMM model parameters. SWMM is software used to model stormwater runoff and infiltration.

Use it to create runoff, subarea, and Green-Ampt infiltration parameter tables from CSV files, then merge them into one JSON package.

It replaces manual lookup work with repeatable outputs, while showing when fallback values or unmatched input keys were used.

swmm-params — Skill for Claude Code and Codex by Zhonghao1995

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add Zhonghao1995/agentic-swmm-workflow --skill swmm-params

Clone the repo

git clone --depth 1 https://github.com/Zhonghao1995/agentic-swmm-workflow

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-params/github.svg)](https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-params)

Your own site

<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-params"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-params/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-params"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-params.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,064 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits

NVIDIA SkillSpector pass 7 Sept 2026

How audits are shown

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00043	$0.01064
Opus 5	$0.00022	$0.00532
Sonnet 5	$0.00009	$0.00213
Haiku 4.5	$0.00004	$0.00106

Measured 10d ago against content hash 49587812a6b7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

swmm-params scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/landuse_to_swmm_params.py, scripts/merge_swmm_params.py, scripts/soil_to_greenampt.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/swmm-params/SKILL.md · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SWMM Params (MVP mapping layer)

Part of Agentic SWMM — install the project first for the executable toolchain (aiswmm CLI, SWMM solver, MCP servers).

What this skill provides

Transparent CSV-to-JSON mapping for:
- land use class -> SWMM [SUBCATCHMENTS] + [SUBAREAS] defaults
- soil texture/type -> SWMM [INFILTRATION] (Green-Ampt) defaults
Deterministic, auditable outputs with explicit fallback usage and unmatched-key reporting.
Optional merge step that emits one builder-ready JSON artifact.

Scripts

scripts/landuse_to_swmm_params.py
- maps subcatchment_id + landuse_class to runoff/subarea parameters
scripts/soil_to_greenampt.py
- maps subcatchment_id + soil_texture to Green-Ampt infiltration parameters
scripts/merge_swmm_params.py
- merges outputs from the two mapping scripts into one JSON package for future swmm-builder

Default lookup tables

By default, scripts read bundled lookup CSVs:

skills/swmm-params/references/landuse_class_to_subcatch_params.csv
skills/swmm-params/references/soil_texture_to_greenampt.csv

You can override lookup paths with CLI flags.

Minimal input format

Land use input CSV:

required columns: subcatchment_id, landuse_class

Soil input CSV:

required columns: subcatchment_id, soil_texture

Example files are provided under examples/.

Outputs

Each mapper writes explicit JSON containing:

records (row-level audit trail)
sections (SWMM-oriented lists keyed by subcatchment)
unmatched_* lists (rows that used fallback)
counts summary

The merge script writes:

sections (subcatchments, subareas, infiltration)
by_subcatchment (combined record per subcatchment ID)
incomplete_ids (IDs missing one or more sections)

CLI flags

All three scripts share these optional flags:

--strict — fail instead of using the DEFAULT fallback row when an input key is missing from the lookup table. Useful for auditable production runs where silent fallback would mask a data gap.

Read the full file on GitHub · 109 lines

Files

What ships with it

7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

10d ago First seen · 109 lines · 43 tokens per session scan A 49587812a6b7

Subscribe to this mod's changes

swmm-params is a skill published in the GitHub repository Zhonghao1995/agentic-swmm-workflow (27 stars, last pushed 3d ago), licensed MIT. It adds 43 tokens to every session and 1,064 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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swmm-params