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.
npx agentmods add skills/zhonghao1995/agentic-swmm-workflow/swmm-plotnpx skills add Zhonghao1995/agentic-swmm-workflow --skill swmm-plotgit clone --depth 1 https://github.com/Zhonghao1995/agentic-swmm-workflowWrote 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-plot)<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-plot"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-plot.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00000 | $0.03217 |
| Opus 5 | $0.00000 | $0.01608 |
| Sonnet 5 | $0.00000 | $0.00643 |
| Haiku 4.5 | $0.00000 | $0.00322 |
Grade A, and why
swmm-plot 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 5d 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 — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SWMM Plot (Nature figure specification)
Part of Agentic SWMM: install the project first for the executable toolchain (aiswmm CLI, SWMM solver, MCP servers).
Every figure this skill renders follows the Nature journal figure specification, the project's standing figure standard. Source: https://research-figure-guide.nature.com/figures/preparing-figures-our-specifications/. The spec lives in exactly three places here, and the scripts hand-set nothing:
| File | Holds |
|---|---|
assets/nature.mplstyle |
the stylesheet (fonts, line weights, ticks, palette, TrueType text, constrained layout) |
scripts/plot_style.py |
apply_style(), figsize(), map_figsize(), save_figure(), legend_outside(), the WONG palette |
| this file | the rules a figure must satisfy, and the tool contracts |
Scope note: these are print-publication rules for the data figures of a run. They are not meant for the HTML report chrome or the CLI itself.
Before calling plot: ask the user
When the user asks to plot, always ask these questions first before calling any plot tool:
- Which entity? A specific node (junction / outfall), by name, or a specific link (conduit), by name?
- List 3-5 high-peak-flow candidates from the run's RPT
Link Flow Summaryso the user can pick.
- List 3-5 high-peak-flow candidates from the run's RPT
- Which attribute? Node options:
Total_inflow,Depth_above_invert,Volume_stored_ponded,Flow_lost_flooding. Link options:Flow_rate,Velocity,Depth. - Time window? Default is the full simulation (24h). Offer to limit to a focus day or HH:MM-HH:MM window if peaks occur in a short period.
Do not silently pick defaults. The user needs control: different plots answer different questions (peak inspection vs continuity vs flooding).
What this skill renders
| Figure | Script | Reached via | Default output |
|---|---|---|---|
| Rainfall (top, inverted) + node/link flow (bottom) hydrograph | scripts/plot_rain_runoff_si.py |
plot_run tool, aiswmm plot, MCP plot_rain_runoff_si |
08_plot/fig_<node>_<attr>.png + .pdf |
| Network layout map (subcatchments, conduits, junctions, storage, outfalls; sub-networks coloured per outfall) | scripts/plot_network_layout.py |
map_run tool, aiswmm map |
08_plot/network_map.png + .pdf |
| Study-area map (DEM hillshade, subcatchments, conduits, outfalls, scale bar, north arrow, cartouche) | scripts/plot_study_area.py |
SWMMCanada fetch (aiswmm canada), or the script directly |
00_raw/study_area.png + .pdf |
What ships with it
5 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.
- 5d ago First seen · 168 lines · 0 tokens per session scan A 877227556e42
swmm-plot is a skill published in the GitHub repository Zhonghao1995/agentic-swmm-workflow (25 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 3,217 tokens. 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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