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 skills add Zhonghao1995/agentic-swmm-workflow --skill swmm-canadagit 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-canada)<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-canada"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-canada/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-canada"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-canada.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 | $0.00102 | $0.01487 |
| Opus 5 | $0.00051 | $0.00744 |
| Sonnet 5 | $0.00020 | $0.00297 |
| Haiku 4.5 | $0.00010 | $0.00149 |
Grade A, and why
swmm-canada 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 10d 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 — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
swmm-canada
Fetch a ready-to-run SWMM model for a Canadian area from the SWMMCanada upstream service, then run, audit, calibrate, and force it in one canonical run folder.
Use for any AOI inside Canada. The service auto-selects the build mode: real published municipal storm networks where a supported city covers the AOI (35 cities at the 2026-08 sync, e.g. Victoria, Ottawa, Toronto, Calgary, Vancouver, Regina), synthesized anywhere else in the country. Outside Canada, route to swmm-anywhere (global, synthesized).
This skill is a documentation contract: the implementation is the in-process typed tool fetch_swmm_from_canada (a pure-stdlib HTTP client, ADR-0001). There is no script directory and no MCP server here, and that is deliberate — the service boundary is HTTP, and the tool is already on the runtime's golden path.
What this skill does
Given an AOI (bbox [min_lon, min_lat, max_lon, max_lat] or a GeoJSON Polygon string) and a rainfall date window (start_date, end_date, ISO dates):
- Announces a preview (best effort): which mode and city the service will use.
- Submits the build to the SWMMCanada tasks API and polls with live progress (network fetch, subcatchments, DEM, landcover/soil, climate, build).
- Downloads the model bundle and lands it in the canonical layout (ADR-0004):
model.inpin05_builder/(with a[REPORT]section injected when the upstream INP omits one, so the binary output carries per-element series), the fullswmm_model.zipin10_upstream/swmmcanada/as the pristine provenance artifact, and the bundle's returned DATA unpacked into00_raw/swmmcanada/(datastore, DEM, land cover, soil rasters, exports) so the run's raw material is browsable beside the other inputs. A study-area map is rendered best-effort to00_raw/study_area.png(needs thegisextra; the fetch never fails over the map) and is picked up byswmm-report's figures section. - Returns the INP path, run directory, service URL, task id, build mode, and the upstream validation record.
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.
- 10d ago First seen · 72 lines · 102 tokens per session scan A c5ade7f1f95b
swmm-canada is a skill published in the GitHub repository Zhonghao1995/agentic-swmm-workflow (27 stars, last pushed 4d ago), licensed MIT. It adds 102 tokens to every session and 1,487 once invoked, about $0.0005 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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