ras-commander: Skill for Claude Code

.claude/skills/hecras_parse_compute-messages/SKILL.md

hecras_parse_compute-messages is a skill for Claude Code from gpt-cmdr/ras-commander. It costs 114 tokens per session (2,873 once invoked), scanned A, original, MIT.

A workflow for reading HEC-RAS computation output from HDF files. HEC-RAS is software for modelling river and flood flows, and HDF files store its results and messages.

In plain words
What is it for?
Use it to check plan completion, read execution messages, inspect runtime information, and diagnose failed or incomplete HEC-RAS runs.
Why use it?
It turns raw computation messages and runtime data into diagnostics that show whether a simulation finished and what went wrong if it did not.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions AGENTS.md.

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/skills/hecras_parse_compute-messages/SKILL.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 hecras_parse_compute-messages

README.md
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Your own site
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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.

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Per session 114 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,873 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00114 $0.02873
Opus 5 $0.00057 $0.01437
Sonnet 5 $0.00023 $0.00575
Haiku 4.5 $0.00011 $0.00287

Measured 10d ago against content hash 73220428f9ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

hecras_parse_compute-messages 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 10d 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.

.claude/skills/hecras_parse_compute-messages/SKILL.md · 423 lines

How it starts

The opening of the file, as written. The whole thing — 423 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parsing HEC-RAS Compute Messages

Primary Sources (navigate to these for complete details):

  • HDF Class Reference: ras_commander/hdf/AGENTS.md - Class hierarchy, decorators
  • HdfResultsPlan Implementation: ras_commander/hdf/HdfResultsPlan.py - Compute message methods
  • Working Example: examples/400_1d_hdf_data_extraction.ipynb - Compute message extraction

When the user asks about execution status or compute messages, use these patterns. Read the primary sources above for implementation details.


Quick Start

Check Plan Completion and Extract Messages

from ras_commander import init_ras_project, HdfResultsPlan

# Initialize project
init_ras_project("path/to/project", "7.0")

# Extract compute messages (handles HDF + .txt fallback automatically)
messages = HdfResultsPlan.get_compute_messages("01")

# Check if plan has results (runtime data exists only for completed plans)
runtime = HdfResultsPlan.get_runtime_data("01")
is_complete = runtime is not None

if is_complete:
    print(f"Plan completed in {runtime['Complete Process (hr)'].values[0]:.2f} hours")
else:
    print("Plan has not been executed or did not complete")

API Reference

HdfResultsPlan.get_compute_messages()

Call this to extract raw computation messages from HDF files.

Signature:

@staticmethod
@log_call
@standardize_input(file_type='plan_hdf')
def get_compute_messages(hdf_path: Path) -> str

Parameters:

  • hdf_path: Plan HDF file path OR plan number string (e.g., "01")

Returns: String containing all computation messages, empty string if unavailable

Fallback Behavior:

  1. First attempts: HDF path /Results/Summary/Compute Messages (text)
  2. Fallback: .txt file via RasControl (for pre-6.x HEC-RAS)

Example:

messages = HdfResultsPlan.get_compute_messages("01")
print(len(messages))  # Character count

HdfResultsPlan.get_compute_messages_hdf_only()

Purpose: Extract compute messages WITHOUT RasControl/COM fallback

Read the full file on GitHub · 423 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. 10d ago First seen · 423 lines · 114 tokens per session scan A 73220428f9ec

Subscribe to this mod's changes

hecras_parse_compute-messages is a skill published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed today), licensed MIT. It adds 114 tokens to every session and 2,873 once invoked, about $0.0006 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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