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-experiment-auditgit 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-experiment-audit)<a href="https://agentmods.dev/skills/zhonghao1995/agentic-swmm-workflow/swmm-experiment-audit"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-experiment-audit/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-experiment-audit"><img src="https://agentmods.dev/badge/skills/zhonghao1995/agentic-swmm-workflow/swmm-experiment-audit.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 | $0.00084 | $0.01961 |
| Opus 5 | $0.00042 | $0.00981 |
| Sonnet 5 | $0.00017 | $0.00392 |
| Haiku 4.5 | $0.00008 | $0.00196 |
Grade A, and why
swmm-experiment-audit 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SWMM Experiment Audit
Part of Agentic SWMM — install the project first for the executable toolchain (aiswmm CLI, SWMM solver, MCP servers).
What this skill provides
- A standard audit layer for Agentic SWMM runs.
- Consolidation of dispersed
manifest.json, QA JSON, logs, metrics, and artifact paths. - Machine-readable outputs for reproducibility and review.
- Obsidian-compatible Markdown notes for human research records.
- Default local Obsidian export into a clean English audit vault.
- Automatic update of the Obsidian
Experiment Audit Index. - Optional run-to-run comparison for baseline/scenario or before/after parser validation.
This skill records what happened. It does not run SWMM, build models, invent missing artifacts, or replace module-level validation.
When to use this skill
Use this skill after any of these events:
swmm-end-to-endcompletes successfully.swmm-end-to-endstops or fails after producing partial artifacts.- A user wants an Obsidian-ready experiment note for an existing run directory.
- A user wants to compare two run directories.
- A run needs evidence for reproducibility, metric provenance, QA status, or paper claims.
Do not use this skill as a substitute for swmm-runner, swmm-builder, or calibration tools. Run the model first, then audit the run directory.
Output contract
For every audited run, write these files into the run's 09_audit/ directory unless explicit output paths are provided:
experiment_provenance.json— machine-readable provenance (immutable).experiment_note.md— human-readable Obsidian digest.model_diagnostics.json— deterministic SWMM screening checks.comparison.json— run-to-run comparison (only when--compare-tois given).
experiment_provenance.json is the machine-readable source for:
- run identity
- repo state
- tool versions
- command trace
- input hash records
- artifact index
- metrics with source artifacts and source tables
- QA checks
- detected warnings and limitations
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.
- 11d ago First seen · 226 lines · 84 tokens per session scan A 18d77405977c
swmm-experiment-audit is a skill published in the GitHub repository Zhonghao1995/agentic-swmm-workflow (27 stars, last pushed 4d ago), licensed MIT. It adds 84 tokens to every session and 1,961 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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