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-anywhereWrote 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-anywhere)<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-anywhere"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-anywhere/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-anywhere"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-anywhere.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 | $0.00081 | $0.03275 |
| Opus 5 | $0.00041 | $0.01638 |
| Sonnet 5 | $0.00016 | $0.00655 |
| Haiku 4.5 | $0.00008 | $0.00328 |
Grade A, and why
swmm-anywhere 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 12d 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 — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
swmm-anywhere
Synthesize a plausible SWMM drainage network from public data (OSM streets + DEM) when no real pipe-network data exists.
Use ONLY when the user explicitly does not have pipe shapefile / CAD / GIS data, or when establishing a baseline before real data arrives. Do NOT use if swmm-gis or swmm-network can run on the user's actual data — the synthesized network is an inferred plausibility, not measured infrastructure.
For bbox-only inputs without real pipe data: this is the right skill.
For inputs that include a .shp, .csv, or network.json of real pipes: route to swmm-network or swmm-gis instead.
What this skill does
Given a bounding box (and optional region name), this skill:
- Downloads public source data via SWMManywhere: OpenStreetMap streets, a DEM tile (Planetary Computer by default), building footprints, river lines.
- Snapshots the raw inputs under
runs/<date>/<id>/00_raw/with a SHA-256 manifest that is verified after capture (the result lands insynth_provenance.jsonunderraw_snapshot_verified), so the exact OSM/DEM inputs that produced this run are pinned and audited (OSM/DEM otherwise drift continuously upstream). - Runs SWMManywhere's 24-step graph pipeline to infer subcatchment polygons, manhole nodes, pipe topology, pipe diameters, and outfall locations.
- Writes a SWMM 5.2
.inpunderruns/<date>/<id>/10_upstream/swmmanywhere/synth.inp(the canonical upstream box, ADR-0004), post-processed so the aiswmmswmm5binary can run it directly (externalstorm.datis copied next to the INP and its path is rewritten as relative, dodging the macOS path-with-spaces parsing bug). - Returns the INP path, raw-snapshot manifest path, and a structured provenance record (which graphfcns ran, parameter overrides used, upstream tool versions).
The synthesized INP is immediately runnable through swmm-runner and immediately auditable through swmm-experiment-audit.
Required inputs
What ships with it
2 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.
- 12d ago First seen · 176 lines · 81 tokens per session scan A 76af425e7043
swmm-anywhere is a skill published in the GitHub repository Zhonghao1995/agentic-swmm-workflow (27 stars, last pushed 5d ago), licensed MIT. It adds 81 tokens to every session and 3,275 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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