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Agent skill

Hmt Run

by psu-efd in psu-efd/pyHMT2D

Run the SRH-2D preprocessor and hydraulic simulation for the currently open project.

MITAuto-check passed

Install Hmt Run

skills CLI
$ npx skills add psu-efd/pyHMT2D --skill hmt-run -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install psu-efd/pyHMT2D hmt-run --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/psu-efd/pyHMT2D.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/hmt-run .claude/skills/hmt-run && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
hmt-run
GitHub stars
133
Token cost
~367 tokens
SKILL.md length
159 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Run the SRH-2D preprocessor and hydraulic simulation for the currently open project.

  • Works in 5 steps: Check the session. Read… → Run preprocessing (SRH-2D only). → Run the simulation. → …
  • Simulate the model
  • SKILL.md covers Prerequisites and Steps
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Hmt Run is an agent skill from psu-efd/pyHMT2D. Run the SRH-2D preprocessor and hydraulic simulation for the currently open project. Use this when the user wants to run, execute, or simulate the model.

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Python Hydraulic Modeling Tools - 2D. The licence is MIT.

When your agent uses it

  • Simulate the model

Example prompts

  • “/hmt-run”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Check the session. Read .hmt_session.json for model_type.
  2. Run preprocessing (SRH-2D only).
  3. Run the simulation.
  4. Confirm result files were created.
  5. Suggest next steps

What it can do on your machine

Read from SKILL.md and the folder at commit 57645ff. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Hmt Run loads about 367 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 159 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~367

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from psu-efd/pyHMT2D at commit 57645ff, republished under its MIT licence (© psu-efd). 159 words, ~367 tokens.

Download SKILL.mdSave it as .claude/skills/hmt-run/SKILL.md (or your agent's skills folder).
name
hmt-run
description
Run the SRH-2D preprocessor and hydraulic simulation for the currently open project. Use this when the user wants to run, execute, or simulate the model.

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

  1. Check the session. Read .hmt_session.json for model_type. If no project is open, ask the user to run /hmt-open first.

  2. Run preprocessing (SRH-2D only). Skip this step for HEC-RAS models.

    bash
    hmt-cli run_preprocessing

    Report elapsed time on success. On error: show the message and stop.

  3. Run the simulation.

    bash
    hmt-cli run_simulation --args '{"timeout_minutes": 120}'

    For HEC-RAS, pass "faceless": false by 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 checking pyHMT2D.log.

  4. Confirm result files were created.

    bash
    hmt-cli list_model_files --args '{"directory": "."}'

  5. Suggest next steps: "Run /hmt-results to query output, or /hmt-export to create VTK files for ParaView." For HEC-RAS runs with faceless=false: "Run hmt-cli exit_model to close the HEC-RAS GUI, or hmt-cli close_session to reset the session entirely."

© psu-efd, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/hmt-run of psu-efd/pyHMT2D.

Open the folder on GitHubat commit 57645ff

Compare with similar skills

Hmt Run next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Hmt Run compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hmt Run this skillpsu-efd/pyHMT2D133—~367Automated safety check: PassMIT
Eas Simulatorsickn33/agentic-awesome-skills47k1 repos~6kAutomated safety check: NotesMIT
Currents API AutomationComposioHQ/awesome-claude-skills77k3 repos~749Automated safety check: PassNone
Simulateindranilbanerjee/digital-marketing-pro8591 repos~2.1kAutomated safety check: PassMIT
Flux Balance Analysis Simulatoraiming-lab/AutoResearchClaw15k—~2.1kAutomated safety check: PassMIT
Limrun iOS Simulatorsuperset-sh/superset15k—~5.2kAutomated safety check: NotesCustom licence

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More from psu-efd/pyHMT2D

All 9 skills in this repo

  • Hmt Convert

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    Convert between hydraulic model formats. An agent skill from psu-efd/pyHMT2D.

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  • Hmt Calibrate

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  • Hmt Modify

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    Modify Manning's n roughness coefficients, inlet flow rates, or exit water surface elevations for the currently open pyHMT2D project and save the changes.

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  • Hmt Monte Carlo

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    Run Monte Carlo uncertainty analysis on a hydraulic model by sampling parameters from statistical distributions and computing exceedance probabilities.

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  • Hmt Open

    psu-efd/pyHMT2D

    Open a pyHMT2D hydraulic model project (SRH-2D or HEC-RAS) and display its materials, boundary conditions, and available result variables.

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  • Hmt Results

    psu-efd/pyHMT2D

    Load simulation results and query values at specific points, domain-wide statistics, flood extent, or cross-section profiles.

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Questions about Hmt Run

What does Hmt Run do?

Run the SRH-2D preprocessor and hydraulic simulation for the currently open project. Hmt Run is an agent skill from psu-efd/pyHMT2D. Run the SRH-2D preprocessor and hydraulic simulation for the currently open project.

When should I use Hmt Run?

Hmt Run fits situations like: simulate the model.

How do I install Hmt Run in Claude Code?

Run `npx skills add psu-efd/pyHMT2D --skill hmt-run -a claude-code`. Or copy the skill folder (.agents/skills/hmt-run in psu-efd/pyHMT2D) into .claude/skills/hmt-run in your project. Claude Code loads it when a task matches its description.

How do I install Hmt Run in Codex?

Run `npx skills add psu-efd/pyHMT2D --skill hmt-run -a codex`. Or copy the skill folder (.agents/skills/hmt-run in psu-efd/pyHMT2D) into .agents/skills/hmt-run in your project. Codex loads it when a task matches its description.

Can I use Hmt Run in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add psu-efd/pyHMT2D --skill hmt-run -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hmt-run, .gemini/skills/hmt-run, .github/skills/hmt-run and .opencode/skills/hmt-run in your project.

What does Hmt Run need to run?

SKILL.md names no scripts, command-line tools or credentials: Hmt Run is instructions for the agent only.

Does Hmt Run access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Hmt Run safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Hmt Run use?

Hmt Run is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hmt Run use?

About 367 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Hmt Run?

Skills that share tags, products or a category with Hmt Run: Eas Simulator (sickn33/agentic-awesome-skills, 47k stars), Currents API Automation (ComposioHQ/awesome-claude-skills, 77k stars), Simulate (indranilbanerjee/digital-marketing-pro, 859 stars) and Flux Balance Analysis Simulator (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hmt Run?

psu-efd (a GitHub user) maintains it in psu-efd/pyHMT2D, which has 133 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 9, 2026.

Source: psu-efd/pyHMT2D on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.