ras-commander: Skill for Claude Code

.claude/skills/ebfe_organize_models/SKILL.md

ebfe_organize_models is a skill for Claude Code from gpt-cmdr/ras-commander. It costs 110 tokens per session (4,595 once invoked), scanned A, original, MIT.

A file organizer for FEMA eBFE and BLE study-area downloads. It sorts hydrologic models, hydraulic models, map and terrain files, and documentation into four standard folders.

In plain words
What is it for?
Use it to organize HEC-HMS models, HEC-RAS projects, GIS and terrain data, reports, metadata, and related files from downloaded study areas.
Why use it?
Downloaded archives often use inconsistent folder names and layouts. A standard structure makes the files easier to find and use in later modeling work.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; mentions subagents.

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 →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is # C:\eBFE\...\file.dss → ../DSS/file.dss (if file is in subdirectory).

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_organize_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

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_organize_models

README.md
[![agentmods](https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/ebfe_organize_models/github.svg)](https://agentmods.dev/skills/gpt-cmdr/ras-commander/ebfe_organize_models)
Your own site
<a href="https://agentmods.dev/skills/gpt-cmdr/ras-commander/ebfe_organize_models"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/ebfe_organize_models/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.

agentmods 80×15 button for ebfe_organize_models

Your own site · 80×15
<a href="https://agentmods.dev/skills/gpt-cmdr/ras-commander/ebfe_organize_models"><img src="https://agentmods.dev/badge/skills/gpt-cmdr/ras-commander/ebfe_organize_models.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,595 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 warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

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 →

  • medium Excessive Agency · line 3
    Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.
    Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 $0.00110 $0.04595
Opus 5 $0.00055 $0.02298
Sonnet 5 $0.00022 $0.00919
Haiku 4.5 $0.00011 $0.00460

Measured 9d ago against content hash 940d63b00a1d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ebfe_organize_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 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.

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_organize_models/SKILL.md · 560 lines

How it starts

The opening of the file, as written. The whole thing — 560 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Organizing eBFE Models

Purpose

When the user asks to organize eBFE or BLE downloads, use this skill to transform downloaded FEMA eBFE/BLE study area files into a standardized 4-folder structure, regardless of the original archive organization patterns.

Standardized Output Structure

Every organized eBFE study area should have this structure:

{StudyAreaName}_{HUC8}/
├── HMS Model/              # HEC-HMS hydrologic models
│   ├── {ProjectName}.hms
│   ├── {ProjectName}.basin
│   ├── *.dss
│   └── ... (all HMS-related files)
├── RAS Model/              # HEC-RAS hydraulic models
│   ├── {Model1}/
│   │   ├── {Model1}.prj
│   │   ├── {Model1}.g##
│   │   ├── {Model1}.p##
│   │   └── ... (all RAS project files)
│   └── {Model2}/...
├── Spatial Data/           # GIS, terrain, geodatabases
│   ├── Terrain/
│   ├── *.tif, *.hdf
│   ├── *.gdb/
│   └── ... (all spatial data)
└── Documentation/          # Reports, metadata, inventories
    ├── *.pdf
    ├── *.xlsx (inventories)
    ├── *_metadata.xml
    └── ... (all documentation)

Input Patterns

Handle these downloaded archive patterns:

Pattern 1: Multiple 1D models in variable wrapper folders (80-200 MB) Pattern 2: ModelURLs.txt links file (1 KB) Pattern 3: Single 2D model in nested zip (5-15 GB) Pattern 4: Compound HMS + RAS in nested zips (8+ GB)

See feature_dev_notes/eBFE_Integration/RESEARCH_FINDINGS.md for complete pattern documentation.

File Classification Rules

HMS Model/ Folder

Include files with these extensions or patterns:

  • .hms - HEC-HMS project
  • .basin - Basin model file
  • .met - Meteorology file
  • .control - Control specifications
  • .run - Run configuration
  • .results - HMS results
  • .dss in Hydrology/ path
  • .log, .out in HMS folders

Path indicators: Hydrology/, HMS/

RAS Model/ Folder

Include files with these extensions or patterns:

  • .prj - HEC-RAS project (validate: contains "Proj Title=", "Geom File=")
  • .g## - Geometry file
  • .p## - Plan file
  • .f## - Flow file
  • .u## - Unsteady flow file
  • .c## - Sediment file
  • .b## - Bridge/culvert file
  • .bco## - Boundary condition override
  • .IC.O## - Initial conditions override
  • .x## - Cross section index
  • .rasmap - RAS Mapper project
  • .dsc - DSS catalog (if in RAS folder)
  • .dss (if in RAS folder, not HMS folder)

Read the full file on GitHub · 560 lines

Files

What ships with it

1 file 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.

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. 9d ago First seen · 560 lines · 110 tokens per session scan A 940d63b00a1d

Subscribe to this mod's changes

ebfe_organize_models is a skill published in the GitHub repository gpt-cmdr/ras-commander (79 stars, last pushed today), licensed MIT. It adds 110 tokens to every session and 4,595 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.

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