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 agentmods add skills/psu-efd/pyhmt2d/hmt-runnpx skills add psu-efd/pyHMT2D --skill hmt-rungit clone --depth 1 https://github.com/psu-efd/pyHMT2DWrote 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/psu-efd/pyhmt2d/hmt-run)<a href="https://agentmods.dev/skills/psu-efd/pyhmt2d/hmt-run"><img src="https://agentmods.dev/badge/skills/psu-efd/pyhmt2d/hmt-run.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00038 | $0.00393 |
| Opus 5 | $0.00019 | $0.00197 |
| Sonnet 5 | $0.00008 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
hmt-run 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 6d 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.
What it actually says
Run preprocessing (SRH-2D) and the hydraulic simulation for the open project.
Prerequisites
A project must be open (/hmt-open) and input files must be saved.
Steps
-
Check the session. Read
.hmt_session.jsonformodel_type. If no project is open, ask the user to run/hmt-openfirst. -
Run preprocessing (SRH-2D only). Skip this step for HEC-RAS models.
hmt-cli run_preprocessingReport elapsed time on success. On error: show the message and stop.
-
Run the simulation.
hmt-cli run_simulation --args '{"timeout_minutes": 120}'For HEC-RAS, pass
"faceless": falseby default. If the user does not want to see the GUI window, pass"faceless": true. Warn the user this may take several minutes. Report elapsed time and status. On error: show the message and suggest checkingpyHMT2D.log. -
Confirm result files were created.
hmt-cli list_model_files --args '{"directory": "."}' -
Suggest next steps: "Run
/hmt-resultsto query output, or/hmt-exportto create VTK files for ParaView." For HEC-RAS runs withfaceless=false: "Runhmt-cli exit_modelto close the HEC-RAS GUI, orhmt-cli close_sessionto reset the session entirely."
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.
- 6d ago First seen · 39 lines · 38 tokens per session scan A 9c711cc4c914
hmt-run is a skill published in the GitHub repository psu-efd/pyHMT2D (130 stars, last pushed 27d ago), licensed MIT. It adds 38 tokens to every session and 393 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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