ras-commander: Skill for Claude Code

.claude/skills/ebfe_validate_models/SKILL.md

ebfe_validate_models is a skill for Claude Code from gpt-cmdr/ras-commander. It costs 173 tokens per session (2,276 once invoked), scanned A, original, MIT.

A validator for organized FEMA eBFE or BLE models, which are flood-model datasets. It opens the HEC-RAS project and checks that plans, geometry, DSS inputs, terrain files, and result files can be found through the expected relative paths.

In plain words
What is it for?
Use it after organizing a model to verify plan files, geometry, DSS data, terrain, HDF results, and project paths before running the model.
Why use it?
A neat folder layout does not guarantee that the model will run. Validation catches missing files, broken references, absolute paths, and inaccessible HEC-RAS results.

Skill for Claude Code

Written for Claude Code: installed under .claude/.

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/ebfe_validate_models/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

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README.md
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Per session 173 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,276 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 $0.00173 $0.02276
Opus 5.5 $0.00069 $0.00910
Sonnet 5.5 $0.00035 $0.00455
Haiku 4.5 $0.00017 $0.00228

Measured 1mo ago against content hash 9a56d5a03203, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ebfe_validate_models 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.

.claude/skills/ebfe_validate_models/SKILL.md · 281 lines

How it starts

The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.

eBFE Model Validator Skill

Purpose

When the user asks to validate an organized eBFE or BLE model, use this skill to verify the model is actually runnable via ras-commander's built-in dataframe validation capabilities.

Why This Matters: Organizing files alone is insufficient -- verify the HEC-RAS project is actually runnable using ras-commander's own validation.

Validation Using ras-commander Dataframes

Step 1: Initialize Project

from ras_commander import init_ras_project
from pathlib import Path

# Initialize organized model
ras = init_ras_project(organized_ras_folder, version)

# If this succeeds, basic project structure is valid
# Now check dataframes for path validity

Step 2: Validate plan_df

Check all plan file references:

print("Validating Plans (plan_df)...")

for idx, row in ras.plan_df.iterrows():
    plan_number = row['plan_number']

    checks = {}

    # Check plan file exists
    plan_file = Path(row['plan_file'])
    checks['plan_file_exists'] = plan_file.exists()

    # Check geometry file exists
    if 'geom_file' in row and pd.notna(row['geom_file']):
        geom_file = Path(row['geom_file'])
        checks['geom_file_exists'] = geom_file.exists()

    # Check flow file exists
    if 'flow_file' in row and pd.notna(row['flow_file']):
        flow_file = Path(row['flow_file'])
        checks['flow_file_exists'] = flow_file.exists()

    # Check HDF file exists (pre-run results)
    if 'hdf_path' in row and pd.notna(row['hdf_path']):
        hdf_file = Path(row['hdf_path'])
        checks['hdf_exists'] = hdf_file.exists()
        if hdf_file.exists():
            print(f"  ✓ Plan {plan_number}: Pre-run results found")

    # Check for absolute paths (CRITICAL)
    checks['no_absolute_paths'] = not plan_file.is_absolute()

    if all(v for k, v in checks.items() if v is not None):
        print(f"  ✓ Plan {plan_number}: All checks passed")
    else:
        failed = [k for k, v in checks.items() if v is False]
        print(f"  ✗ Plan {plan_number}: Failed checks: {failed}")

Read the full file on GitHub · 281 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 Changed · +5 lines 9a56d5a03203
  2. 1mo ago First seen · 276 lines · 173 tokens per session scan A 7127b1eecaf3

Subscribe to this mod's changes

ebfe_validate_models is a skill published in the GitHub repository gpt-cmdr/ras-commander (88 stars, last pushed today), licensed MIT. It adds 173 tokens to every session and 2,276 once invoked, about $0.0007 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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