ebfe_validate_models

ebfe_validate_models is a skill for Claude Code, Codex from gpt-cmdr/ras-commander. It costs 173 tokens per session (2,192 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 CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/gpt-cmdr/ras-commander/ebfe_validate_models
Any agent
npx skills add gpt-cmdr/ras-commander --skill ebfe_validate_models
Clone the repo
git clone --depth 1 https://github.com/gpt-cmdr/ras-commander

Made for: Claude Code, Codex.

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 ebfe_validate_models

README.md
[![agentmods](https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/ebfe_validate_models.svg)](https://agentmods.dev/skills/gpt-cmdr/ras-commander/ebfe_validate_models)
Your own site
<a href="https://agentmods.dev/skills/gpt-cmdr/ras-commander/ebfe_validate_models"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/ebfe_validate_models.svg" alt="Measured on agentmods" height="20"></a>
Per session 173 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,192 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.02192
Opus 5 $0.00086 $0.01096
Sonnet 5 $0.00035 $0.00438
Haiku 4.5 $0.00017 $0.00219

Measured 6d ago against content hash 7127b1eecaf3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, 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 6d 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 · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 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 · 276 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. 6d 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 (79 stars, last pushed today), licensed MIT. It adds 173 tokens to every session and 2,192 once invoked, about $0.0009 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.

Related

Other skills, from other repositories

instrument-data-to-allotrope

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full…

anthropics/knowledge-work-plugins · 123 tokens

exploratory-data-analysis

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation sensitivity; and rigorous EDA report scaffolds. Other domain…

K-Dense-AI/scientific-agent-skills · 83 tokens

matlab

Build, review, migrate, and safely plan MATLAB or GNU Octave numerical workflows, including arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.

K-Dense-AI/scientific-agent-skills · 42 tokens

phylogenetics

Build and analyze phylogenetic trees using MAFFT (multiple alignment), IQ-TREE 2 (maximum likelihood), and FastTree (fast NJ/ML). Visualize with ETE3 or FigTree. For evolutionary analysis, microbial genomics, viral phylodynamics, protein family analysis, and molecular clock studies.

K-Dense-AI/scientific-agent-skills · 68 tokens

research-engineer

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

davila7/claude-code-templates · 43 tokens

mapping-to-snomed

Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. Use when the user wants to code findings, disorders, procedures, body structures, or substances to SNOMED CT, run an ECL…

maziyarpanahi/openmed · 205 tokens