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-climategit 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-climate)<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-climate"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-climate/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-climate"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-climate.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 | $0.02026 |
| Opus 5 | $0.00024 | $0.01013 |
| Sonnet 5 | $0.00010 | $0.00405 |
| Haiku 4.5 | $0.00005 | $0.00203 |
Grade A, and why
swmm-climate 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SWMM Climate (MVP rainfall layer)
Part of Agentic SWMM — install the project first for the executable toolchain (aiswmm CLI, SWMM solver, MCP servers).
What this skill provides
- Deterministic conversion from simple rainfall CSV to:
- SWMM
[TIMESERIES]text lines - structured JSON manifest for audit/provenance
- SWMM
- Deterministic helper generation for SWMM
[RAINGAGES]section. - MCP wrapper for agentic use.
Input CSV contract
format_rainfall.py expects a header row and at minimum:
timestamp: date-time string, default format%Y-%m-%d %H:%Mrainfall_mm_per_hr: rainfall intensity in mm/hr
Optional extensions:
station_id(or another column via--station-column) to carry multiple stations in one file.- Batch mode by repeating
--inputand/or using--input-glob. - Event window slicing via
--window-startand--window-end(inclusive).
Accepted rainfall units (--value-units):
mm_per_hr(aliases:mm/hr,mm/h)in_per_hr(aliases:in/hr,in/h)
Unit policy (--unit-policy):
strict: onlymm_per_hraccepted.convert_to_mm_per_hr: supported units are converted tomm_per_hr.
SWMM .dat input contract
For SWMM-native rainfall .dat files (e.g. <series> YYYY M D HH MM value),
use --input-dat <path> and declare row units via --dat-value-units:
mm_per_hr,in_per_hr(intensities)mm_per_day,in_per_day(24h volumes; divided by 24 to mm/hr)
In .dat mode the --window-start / --window-end filters expect %Y-%m-%d.
Use --default-station-id to override the series token taken from the .dat row.
--input-dat may be repeated to batch multiple .dat files but cannot be mixed
with --input / --input-glob.
Via the MCP tool, pass inputDatPaths: [<path>] and datValueUnits: "mm_per_day" (or another supported unit) instead of inputCsvPath.
Temporal validation:
- duplicate timestamps are rejected per station/series.
- timestamp monotonicity is checked per station (
--timestamp-policy strictdefault; optionalsort).
What ships with it
7 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 · 197 lines · 48 tokens per session scan A 83055a5867d4
swmm-climate 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 2,026 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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