ras-commander: Agent for Claude Code

.claude/agents/win32com-automation-expert.md

win32com-automation-expert is an agent for Claude Code from gpt-cmdr/ras-commander. It costs 286 tokens per session (5,428 once invoked), scanned A, original, MIT.

An automation assistant for HEC-RAS, software used to model river flow and flooding on Windows. It covers both HEC-RAS’s COM interface, a programmatic control method, and Windows desktop automation.

In plain words
What is it for?
Use it to run HEC-RAS plans, retrieve steady or time-series results, inspect computation messages and output times, control windows and menus, open RASMapper, and automate unsupported GUI actions.
Why use it?
It helps automate tasks that are available through the official programming interface as well as tasks that require controlling the graphical application.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; reads .claude/ paths; mentions subagents.

This is gpt-cmdr/ras-commander's own configuration. It tells Claude Code how to work on ras-commander itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ras-commander configures →

Reuse

Borrowing it

Nothing to install: this file belongs to gpt-cmdr/ras-commander. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/gpt-cmdr/ras-commander/main/.claude/agents/win32com-automation-expert.md
Clone the repo
git clone --depth 1 https://github.com/gpt-cmdr/ras-commander

Made for: Claude Code.

Wrote 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.

agentmods badge for win32com-automation-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/win32com-automation-expert/github.svg)](https://agentmods.dev/agents/gpt-cmdr/ras-commander/win32com-automation-expert)
Your own site
<a href="https://agentmods.dev/agents/gpt-cmdr/ras-commander/win32com-automation-expert"><img src="https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/win32com-automation-expert/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.

agentmods 80×15 button for win32com-automation-expert

Your own site · 80×15
<a href="https://agentmods.dev/agents/gpt-cmdr/ras-commander/win32com-automation-expert"><img src="https://agentmods.dev/badge/agents/gpt-cmdr/ras-commander/win32com-automation-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 286 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 5,428 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00286 $0.05428
Opus 5.5 $0.00114 $0.02171
Sonnet 5.5 $0.00057 $0.01086
Haiku 4.5 $0.00029 $0.00543

Measured 1mo ago against content hash 753789a8693f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

win32com-automation-expert scanned grade A with 1 finding 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 1mo 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

process = subprocess.Popen(command)
.claude/agents/win32com-automation-expert.md · 716 lines

How it starts

The opening of the file, as written. The whole thing — 716 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Win32COM Automation Expert

Purpose

You provide expertise on automating HEC-RAS using:

  1. HECRASController COM Interface -- Documented API via win32com
  2. Win32 GUI Automation -- pywin32 for features without COM support
  3. Process Topology Understanding -- 32-bit/64-bit architecture knowledge

Primary Sources (Read These First)

HECRASController Wrapper:

  • ras_commander/RasControl.py (full file)
    • run_plan() - Execute plans via COM
    • get_steady_results() - Extract steady profiles
    • get_unsteady_results() - Extract time series
    • get_output_times() - Query available timesteps
    • get_comp_msgs() - Get computation messages

GUI Automation:

  • ras_commander/RasGuiAutomation.py (full file)
    • get_windows_by_pid() - Find HEC-RAS windows
    • enumerate_all_menus() - Discover menu structure
    • click_menu_item() - Trigger menu actions
    • find_dialog_by_title() - Locate dialogs
    • open_rasmapper() - Launch RASMapper (no COM available)

Tutorial Notebooks:

  • examples/120_automating_ras_with_win32com.ipynb - Direct COM usage
  • examples/121_legacy_hecrascontroller_and_rascontrol.ipynb - RasControl patterns

User Guide:

  • docs/user-guide/legacy-com-interface.md - COM interface documentation

HECRASController COM Interface

Version-Specific ProgIDs

HEC-RAS registers version-specific COM servers:

HEC-RAS Version ProgID Notes
3.1 RAS.HECRASController Legacy
4.1 RAS41.HECRASController Legacy
5.0.1 RAS501.HECRASController May freeze on some operations
5.0.3 RAS503.HECRASController
5.0.4 RAS504.HECRASController
5.0.6 RAS506.HECRASController Stable
5.0.7 RAS507.HECRASController
6.0 RAS60.HECRASController
6.3 RAS63.HECRASController
6.3.1 RAS631.HECRASController
6.4 RAS64.HECRASController
6.5 RAS65.HECRASController
6.6 RAS66.HECRASController Current stable

Read the full file on GitHub · 716 lines

Changes

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.

  1. 1mo ago First seen · 716 lines · 286 tokens per session scan A 753789a8693f

Subscribe to this mod's changes

win32com-automation-expert is an agent published in the GitHub repository gpt-cmdr/ras-commander (88 stars, last pushed today), licensed MIT. It adds 286 tokens to every session and 5,428 once invoked, about $0.0011 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other agents, from other repositories

playwright-test-generator

Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens

AVM Owner Triage

Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.

github/awesome-copilot · 61 tokens

Ultimate Transparent Thinking Beast Mode

Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.

github/awesome-copilot · 11 tokens

Context7-Expert

Expert in latest library versions, best practices, and correct syntax using up-to-date documentation.

github/awesome-copilot · 22 tokens