swmm-uncertainty SKILL.md skillA

swmm-uncertainty from zhonghao1995/agentic-swmm-workflow is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add zhonghao1995/agentic-swmm-workflow/swmm-uncertainty@git:20260904.8bf7b99

Pins git:20260904.8bf7b99 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
zhonghao1995/agentic-swmm-workflow
Path
skills/swmm-uncertainty/SKILL.md
Versions recorded
5
Latest version
git:20260904.8bf7b99, committed Sep 4, 2026
First version recorded
Sep 2, 2026
Size
21,512 bytes
Repository stars
31
License
MIT

Parameter and forcing uncertainty for EPA SWMM. Without observed flow, call propagate_parameter_ranges (global ranges, one SWMM run per sample, peak spread); the Morris/OAT/Sobol tools need an observed series. Use when an agent needs to (1) propagate parameter uncertainty through SWMM (fuzzy alpha-cut or Monte Carlo), (2) quantify hydrograph envelopes or output entropy without treating the run as calibration, (3) screen which parameters matter using OAT / Morris elementary-effects / Sobol'…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# SWMM Uncertainty

Part of [Agentic SWMM](https://github.com/Zhonghao1995/agentic-swmm-workflow) — install the project first for the executable toolchain (aiswmm CLI, SWMM solver, MCP servers).

## Agent path without observed data

The honest split (live findings F-107 and F-109, 2026-09-03): WITH observed
flow, `swmm_sensitivity_oat` / `swmm_sensitivity_morris` / `swmm_sensitivity_sobol`
rank parameters against the data (they need an observed series and a patch
map). WITHOUT observed flow, `propagate_parameter_ranges` is the tool for both
questions: `mode=one_at_a_time` varies each parameter alone in one call and
returns a per-parameter spread and a ranking ("which parameters matter most");
the default `joint` mode samples all ranges together and reports the spread
("how uncertain is the peak"). Never emulate a ranking with one sweep per
parameter. Rainfall: a request to scale the observed event by factors (0.8,
1.0, 1.2) on a model with inline rain is `run_climate_scenarios` with those
factors (live finding F-112, 2026-09-03); `swmm_rainfall_ensemble` needs a
prepared rainfall series file and a JSON config (perturbation or IDF).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add zhonghao1995/agentic-swmm-workflow/swmm-uncertainty@sha256:fc1cf2ab8b848ac7

The line at the top of this page pins the label git:20260904.8bf7b99, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_rrekbxjw7saoi3rn.svg)](https://markdownregistry.com/a/art_rrekbxjw7saoi3rn)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Sep 2, 2026 and Sep 4, 2026, more than one a day.

versioncommittedcommitsizeaudit
git:20260904.8bf7b99 latest2026-09-04 8bf7b99 21,512 BA view · diff
git:20260904.018d2022026-09-04 018d202 21,225 BA view · diff
git:20260904.75610c02026-09-04 75610c0 21,171 BA view · diff
git:20260903.fd126ac2026-09-03 fd126ac 20,594 BA view · diff
git:20260902.af3df3c2026-09-02 af3df3c 19,775 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (21512 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

zhonghao1995/agentic-swmm-workflow · 31 stars · license MIT · pushed 2026-10-28 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rrekbxjw7saoi3rn
GET https://markdownregistry.com/api/v1/resolve?ref=zhonghao1995/agentic-swmm-workflow/swmm-uncertainty
GET https://markdownregistry.com/api/v1/blob/fc1cf2ab8b848ac7b07a7f089e7e1bbf70bc1b461ca999584bd974fbfc2c1262

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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