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.
curl -O https://raw.githubusercontent.com/gpt-cmdr/ras-commander/main/.claude/skills/hecras_explore_gui/SKILL.mdgit clone --depth 1 https://github.com/gpt-cmdr/ras-commanderWrote 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/gpt-cmdr/ras-commander/hecras_explore_gui)<a href="https://agentmods.dev/skills/gpt-cmdr/ras-commander/hecras_explore_gui"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/hecras_explore_gui/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/gpt-cmdr/ras-commander/hecras_explore_gui"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/hecras_explore_gui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Agent Snooping · line 231 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
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 | $0.00098 | $0.03215 |
| Opus 5 | $0.00049 | $0.01607 |
| Sonnet 5 | $0.00020 | $0.00643 |
| Haiku 4.5 | $0.00010 | $0.00321 |
Grade A, and why
hecras_explore_gui 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 9d 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([str(ras_exe), str(project_file)]) How it starts
The opening of the file, as written. The whole thing — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Exploring HEC-RAS GUI
When the user asks to explore HEC-RAS menus, capture GUI screenshots, or document dialog controls, use this skill. It enables agents to explore the HEC-RAS graphical interface, capture screenshots, and document menus/dialogs for automation development and documentation.
Prerequisites
Required Python packages:
pip install pywin32 Pillow
Required conditions:
- HEC-RAS must be installed
- Running on Windows (win32 APIs required)
- A HEC-RAS project must be available to open
Core Capabilities
1. RasScreenshot Module
The RasScreenshot class provides window-specific screenshot capture:
from ras_commander import RasScreenshot, RasGuiAutomation
# Core screenshot methods
RasScreenshot.capture_window(hwnd) # Capture by window handle
RasScreenshot.capture_hecras_main(pid) # Capture main HEC-RAS window
RasScreenshot.capture_dialog(title_pattern) # Capture dialog by title
RasScreenshot.capture_all_ras_windows(pid) # Capture all windows
RasScreenshot.capture_foreground() # Capture active window
RasScreenshot.capture_with_delay(hwnd, delay=1.0) # Capture after delay
RasScreenshot.capture_menu_exploration(hwnd, menu_id) # Click menu and capture result
RasScreenshot.document_dialog(hwnd) # Document dialog controls
2. RasGuiAutomation Integration
Use RasGuiAutomation for window discovery and menu operations:
from ras_commander import RasGuiAutomation
# Window discovery
windows = RasGuiAutomation.get_windows_by_pid(pid)
hwnd, title = RasGuiAutomation.find_main_hecras_window(windows)
# Menu enumeration
menus = RasGuiAutomation.enumerate_all_menus(hwnd)
# Menu interaction
success = RasGuiAutomation.click_menu_item(hwnd, menu_id)
# Dialog discovery
dialog_hwnd = RasGuiAutomation.find_dialog_by_title("Unsteady Flow")
button_hwnd = RasGuiAutomation.find_button_by_text(dialog_hwnd, "Compute")
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.
- 9d ago First seen · 408 lines · 98 tokens per session scan A 2972e4ec3383
hecras_explore_gui is a skill published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed today), licensed MIT. It adds 98 tokens to every session and 3,215 once invoked, about $0.0005 per session on Opus 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.
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