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-setup-linux-wine-ras2cng/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-setup-linux-wine-ras2cng)<a href="https://agentmods.dev/skills/gpt-cmdr/ras-commander/hecras-setup-linux-wine-ras2cng"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/hecras-setup-linux-wine-ras2cng/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-setup-linux-wine-ras2cng"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/hecras-setup-linux-wine-ras2cng.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 | $0.00123 | $0.01074 |
| Opus 5.5 | $0.00049 | $0.00430 |
| Sonnet 5.5 | $0.00025 | $0.00215 |
| Haiku 4.5 | $0.00012 | $0.00107 |
Grade A, and why
hecras-setup-linux-wine-ras2cng scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Set Up Headless Linux/Wine/Ras2Cng
Use a two-lane runtime. Prefer vendor Linux executables for computations and any preprocessing operation officially supported by the installed HEC-RAS version. Use the same Windows HEC-RAS version under pinned Wine only for gaps such as RasProcess geometry/terrain work and RASMapper-backed ras2cng stored maps.
Workflow
-
Identify the exact HEC-RAS version and the requested operations.
-
Read references/setup-runbook.md before changing a host, prefix, scheduler template, or container image.
-
Run the native-Linux preflight before launching Wine:
python .claude/skills/hecras-setup-linux-wine-ras2cng/scripts/headless_wine_preflight.py \ --wine-prefix "$WINEPREFIX" \ --ras-install-dir "$RAS_INSTALL_DIR" \ --require-safe-topology --require-runtime --require-python-packages -
Fail closed when
wine_topology_safeis false. Do not widen a scheduler allocation. Prefer a coherent zero-based visible CPU namespace plus a CPU quota. A single allowed CPU whose ID is below the reported processor count is the fallback, not the production default. -
Create one writable prefix and one writable project copy per scheduler task. Never run concurrent RASMapper helpers in one prefix. Use
--map-workers 1for a single ras2cng process and scale across isolated tasks/prefixes. -
Configure ras-commander and verify content:
from ras_commander import RasProcess RasProcess.configure_wine( wine_prefix="/work/$JOB_ID/wine", wine_executable="/opt/wine-11.0/bin/wine", ras_install_dir="/work/$JOB_ID/wine/drive_c/HEC-RAS/7.0", ) status = RasProcess.check_wine_environment() assert status["wine_found"] and status["rasprocess_found"] -
Qualify a representative fixture against a native-Windows golden before production use. Read references/qualification-and-troubleshooting.md.
What ships with it
4 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.
- 1mo ago First seen · 97 lines · 123 tokens per session scan A cd389fef2df0
hecras-setup-linux-wine-ras2cng is a skill published in the GitHub repository gpt-cmdr/ras-commander (88 stars, last pushed today), licensed MIT. It adds 123 tokens to every session and 1,074 once invoked, about $0.0005 per session on Opus 5.5. 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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