Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Zhonghao1995/agentic-swmm-workflownpx agentmods add skills/zhonghao1995/agentic-swmm-workflow/swmm-water-qualityWrote 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.
[](https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-water-quality)<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-water-quality"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-water-quality/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.
<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-water-quality"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-water-quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00048 | $0.02043 |
| Opus 5 | $0.00024 | $0.01022 |
| Sonnet 5 | $0.00010 | $0.00409 |
| Haiku 4.5 | $0.00005 | $0.00204 |
Grade A, and why
swmm-water-quality 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.
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.
How it starts
The opening of the file, as written. The whole thing — 188 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SWMM Water Quality Skill
Purpose
Complete SWMM engine coverage for pollutant buildup/washoff simulation and load reporting. This skill provides:
validate_wq_config.py— validate a WQ config JSON before passing it to the builder.extract_wq_loads.py— extract WQ load summaries from a SWMM RPT.
The water-quality sections ([POLLUTANTS], [LANDUSES], [COVERAGES],
[BUILDUP], [WASHOFF], [LOADINGS]) are emitted by
skills/swmm-builder/scripts/build_swmm_inp.py via the
--water-quality-json flag (see also build_inp tool's
water_quality_json argument).
Agent tool: read_wq_loads
Read pollutant load summaries from a completed run's .rpt file. Returns
wq_present=false for non-WQ runs.
read_wq_loads(rpt_path="runs/my_run/model.rpt")
Returns a structured JSON with:
wq_present(bool)pollutants— sorted list of pollutant namesrunoff_quality_continuity— mass-balance rows (metric + per-pollutant kg)quality_routing_continuity— routing mass-balance rowssubcatchment_washoff— per-subcatchment loads (kg per pollutant)link_loads— per-link transport loads (kg per pollutant)outfall_loads— per-outfall flow stats + pollutant loads
WQ config JSON schema
Top-level keys (all required when the key is present; empty arrays are valid):
{
"pollutants": [...],
"landuses": [...],
"coverages": [...],
"buildup": [...],
"washoff": [...],
"loadings": []
}
pollutants entries
| Field | Type | Default | Notes |
|---|---|---|---|
name |
string | required | No spaces |
units |
string | required | MG/L, UG/L, or #/L |
c_rain |
float | 0 |
Concentration in precipitation |
c_gw |
float | 0 |
Concentration in groundwater |
c_ii |
float | 0 |
Concentration in RDII |
k_decay_per_day |
float | 0 |
First-order decay (1/days) |
snow_only |
bool | false |
Buildup during snow only |
co_pollutant |
string | "*" |
Co-pollutant name or "*" |
co_fraction |
float | 0 |
Co-pollutant fraction (0–1) |
init_conc |
float | 0 |
Initial dry-weather concentration |
What ships with it
4 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.
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.
- 11d ago First seen · 188 lines · 48 tokens per session scan A a86ae6b3108d
swmm-water-quality is a skill published in the GitHub repository Zhonghao1995/agentic-swmm-workflow (27 stars, last pushed 4d ago), licensed MIT. It adds 48 tokens to every session and 2,043 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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