swmm-design-review

swmm-design-review is a skill for Claude Code, Codex from Zhonghao1995/agentic-swmm-workflow. It costs 86 tokens per session (1,661 once invoked), scanned A, original, MIT.

A post-run checker for stormwater drainage models made with SWMM, a program that simulates rainwater moving through drainage systems. It reads an existing run's files and compares them with configurable design rules, reporting pass, fail, warning, or missing-data results.

In plain words
What is it for?
Use it after a SWMM run to inspect the model report, input file, and manifest against one or more YAML or JSON rulebooks. It creates design-review reports in the run directory.
Why use it?
It reviews a completed simulation without running it again and puts the checks into readable report files. It supports decision-making but does not certify that a design meets regulations.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it after a SWMM run to inspect the model report, input file, and manifest against one or more YAML or JSON rulebooks. It creates design-review reports in the run directory.

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Install with agentmods
npx agentmods add skills/zhonghao1995/agentic-swmm-workflow/swmm-design-review
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-design-review
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.

agentmods badge for swmm-design-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-design-review/github.svg)](https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-design-review)
Your own site
<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-design-review"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-design-review/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.

agentmods 80×15 button for swmm-design-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-design-review"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-design-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,661 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00086 $0.01661
Opus 5 $0.00043 $0.00830
Sonnet 5 $0.00017 $0.00332
Haiku 4.5 $0.00009 $0.00166

Measured 11d ago against content hash f001158c1e6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

swmm-design-review 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/design_review.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-design-review/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

swmm-design-review — Design Review / Code-Compliance Checker

What this skill does

Evaluates a completed SWMM run against a configurable rulebook of design checks. Reads the run's existing artifacts (manifest.json + model.rpt + model.inp) — SWMM is never re-run. Classifies each rule as pass, fail, warn, or needs-data and writes 11_review/design_review.json + 11_review/design_review.md into the run directory (canonical per ADR-0004; the underlying script's own bare default is the legacy 09_review/ — see CLI usage below).

This skill is decision-support only. It never certifies regulatory compliance.


CLI usage

# Standalone script
python3 skills/swmm-design-review/scripts/design_review.py \
    --run-dir <path>         # required: directory with model.rpt, manifest.json, model.inp
    [--rpt <path>]           # override: explicit model.rpt path
    [--inp <path>]           # override: explicit model.inp path
    [--manifest <path>]      # override: explicit manifest.json path
    [--rules <rulebook>]     # override rulebook YAML/JSON (repeatable for multiple books)
    [--out-dir <dir>]        # bare-script default: <run-dir>/09_review/ (legacy)
    [--no-inp]               # skip INP-derived metrics (slope, diameter)

# CLI verb (registered in aiswmm CLI) — always passes --out-dir explicitly,
# defaulting to the canonical <run-dir>/11_review/ (ADR-0004)
aiswmm review --run-dir <path> [--rules <rulebook.yaml>] [--out-dir <dir>]

Exit codes: 0 = pass/warn/needs-data only; 1 = any FAIL; 2 = script/input error.

Agent tool: review_run

Registered in AgentToolRegistry. Direct handler (not MCP-routed) — writes 11_review/design_review.json + 11_review/design_review.md into the run dir (canonical per ADR-0004).

review_run(run_dir="runs/my_run/")
review_run(run_dir="runs/my_run/", rules="skills/swmm-design-review/rulebooks/gb50014_template.yaml")

is_read_only=False — QUICK profile prompts the user (tool writes files).

Read the full file on GitHub · 166 lines

Files

What ships with it

3 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.

  1. 11d ago First seen · 166 lines · 86 tokens per session scan A f001158c1e6b

Subscribe to this mod's changes

swmm-design-review is a skill published in the GitHub repository Zhonghao1995/agentic-swmm-workflow (27 stars, last pushed 4d ago), licensed MIT. It adds 86 tokens to every session and 1,661 once invoked, about $0.0004 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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