evo-data-converters: Skill for Claude Code

.github/skills/build-evo-converter/SKILL.md

build-evo-converter is a skill for Claude Code, Codex from SeequentEvo/evo-data-converters. It costs 103 tokens per session (921 once invoked), scanned A, original, no licence file.

An end-to-end workflow for creating a new Evo data converter, which transforms a third-party geoscience file format into published Evo objects.

In plain words
What is it for?
Use it when adding support for a new geoscience file format from scratch.
Why use it?
It breaks the work into scaffolding, format discovery, data mapping, and testing so a converter can be built systematically.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

This is SeequentEvo/evo-data-converters's own configuration. It tells Claude Code and Codex how to work on evo-data-converters 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 evo-data-converters configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SeequentEvo/evo-data-converters. 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/SeequentEvo/evo-data-converters/main/.github/skills/build-evo-converter/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/SeequentEvo/evo-data-converters

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 build-evo-converter

README.md
[![agentmods](https://agentmods.dev/badge/skills/seequentevo/evo-data-converters/build-evo-converter/github.svg)](https://agentmods.dev/skills/seequentevo/evo-data-converters/build-evo-converter)
Your own site
<a href="https://agentmods.dev/skills/seequentevo/evo-data-converters/build-evo-converter"><img src="https://agentmods.dev/badge/skills/seequentevo/evo-data-converters/build-evo-converter/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 build-evo-converter

Your own site · 80×15
<a href="https://agentmods.dev/skills/seequentevo/evo-data-converters/build-evo-converter"><img src="https://agentmods.dev/badge/skills/seequentevo/evo-data-converters/build-evo-converter.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 103 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 921 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.
Origin unknown 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 $0.00103 $0.00921
Opus 5.5 $0.00041 $0.00368
Sonnet 5.5 $0.00021 $0.00184
Haiku 4.5 $0.00010 $0.00092

Measured 2mo ago against content hash f3f7de6931e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

build-evo-converter 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 2mo 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.

.github/skills/build-evo-converter/SKILL.md · 70 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

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. 2mo ago First seen · 70 lines · 103 tokens per session scan A f3f7de6931e8

Subscribe to this mod's changes

build-evo-converter is a skill published in the GitHub repository SeequentEvo/evo-data-converters (12 stars, last pushed yesterday), with no licence file. It adds 103 tokens to every session and 921 once invoked, about $0.0004 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.

Related

Other skills, from other repositories

dlisio

Read and parse DLIS (Digital Log Interchange Standard) and LIS (Log Information Standard) well log files. Use when the agent needs to: (1) Read/parse DLIS or LIS files, (2) Extract well log curves as numpy arrays, (3) Access file metadata and origin information, (4) Handle multi-frame or multi-file DLIS, (5) Convert…

SteadfastAsArt/geoscience-skills · 116 tokens

obspy

Seismology data processing with ObsPy. Helps with reading seismic waveforms, filtering/processing time series, fetching data from FDSN services, and earthquake analysis. Use when the agent needs to: (1) Read seismic data formats (MiniSEED, SAC, GSE2, SEGY), (2) Filter or process waveforms, (3) Fetch data from…

SteadfastAsArt/geoscience-skills · 131 tokens

petropy

Configure PetroPy fluid-property and multimineral formation evaluation from normalized LAS well logs. Use for calibrated porosity, water saturation, mineral and pore-volume estimation, missing-sample handling, and explicitly defined pay intervals. Requires documented log units, fluid parameters and mineral endpoints…

SteadfastAsArt/geoscience-skills · 69 tokens

pygimli

Multi-method geophysical modelling and inversion framework. Use when the agent needs to: (1) Perform electrical resistivity tomography (ERT) inversion, (2) Run seismic refraction tomography (SRT), (3) Model induced polarization (IP) data, (4) Simulate ground penetrating radar (GPR), (5) Create finite element meshes…

SteadfastAsArt/geoscience-skills · 116 tokens

pylops

Linear operators for large-scale inverse problems with matrix-free representations. Use when the agent needs to: (1) Define linear operators for forward/adjoint operations, (2) Solve inverse problems (deconvolution, imaging, tomography), (3) Apply signal processing transforms (FFT, convolution, derivatives), (4)…

SteadfastAsArt/geoscience-skills · 103 tokens

welly

Subsurface well data analysis toolkit for loading, processing, and analyzing well logs, projects, and formation tops. Built on lasio with enhanced curve processing. Use when the agent needs to: (1) Load wells from LAS files with metadata, (2) Work with multi-well Projects, (3) Process curves (despike, smooth…

SteadfastAsArt/geoscience-skills · 115 tokens