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-end-to-endgit 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-end-to-end)<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-end-to-end"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-end-to-end/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-end-to-end"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-end-to-end.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 | $0.00067 | $0.05997 |
| Opus 5 | $0.00034 | $0.02998 |
| Sonnet 5 | $0.00013 | $0.01199 |
| Haiku 4.5 | $0.00007 | $0.00600 |
Grade A, and why
swmm-end-to-end 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 — 411 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SWMM End-to-End Orchestration
Part of Agentic SWMM — install the project first for the executable toolchain (aiswmm CLI, SWMM solver, MCP servers).
What this skill provides
- A top-level orchestration contract for the agent runtime.
- A stable handoff point for Agentic AI project memory in
agent/memory/. - A deterministic execution order across the existing module skills:
swmm-canada(entry skill for Canadian AOIs — real municipal pipes where covered, synthesized elsewhere in Canada)swmm-anywhere(entry skill for data-scarce regions outside Canada — no real pipe data)swmm-gisswmm-climateswmm-paramsswmm-networkswmm-builderswmm-runnerswmm-design-reviewswmm-plotswmm-calibrationswmm-uncertaintyswmm-lid-optimizationswmm-experiment-audit
Routing rule — real-data path vs synth-data path
The orchestrator MUST inspect the user's inputs before choosing the entry skill:
- If the request includes any of
.shp,.csv,network.json, a CAD file, or an existing.inppath → the user has real data; route toswmm-network(orswmm-builderif the INP is already prepared). - If the request includes only a bbox or a location name with no pipe-network file attached → check the country first. For a Canadian AOI route to
swmm-canada(the SWMMCanada upstream returns real published municipal storm pipes where a supported city covers the AOI, synthesized elsewhere in Canada). Outside Canada route toswmm-anywhere, which produces a synth.inp. Either way, downstream skills (swmm-runner,swmm-experiment-audit,swmm-plot) consume the result identically to a real-data INP. - If both signals appear (bbox and a SHP) → prefer the real-data path (
swmm-network); only fall back toswmm-anywhereif the user explicitly asks for a synth baseline for comparison. - Clear stop conditions so the agent does not pretend a full model was built when critical inputs are still missing.
- A minimal real-data fallback path for Tod Creek via
scripts/real_cases/run_todcreek_minimal.py. - A mandatory audit handoff that consolidates artifacts, metrics, QA, comparison records, and default Obsidian audit notes after success or failure.
What ships with it
1 file 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 · 411 lines · 67 tokens per session scan A 429e84d01a16
swmm-end-to-end is a skill published in the GitHub repository Zhonghao1995/agentic-swmm-workflow (27 stars, last pushed 4d ago), licensed MIT. It adds 67 tokens to every session and 5,997 once invoked, about $0.0003 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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