pydantic

pydantic is a skill for Claude Code, Codex from Mte90/dotfiles. It costs 23 tokens per session (9,239 once invoked), scanned A, original, no licence file.

A guide to validating and converting structured data in Python with Pydantic models, which use type hints to describe expected data.

In plain words
What is it for?
Use it to define data models, validate input, load application settings, serialize data, or improve validation performance.
Why use it?
It helps catch invalid data and manage settings, serialization, and performance in Python applications.

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/mte90/dotfiles/pydantic
Any agent
npx skills add Mte90/dotfiles --skill pydantic
Clone the repo
git clone --depth 1 https://github.com/Mte90/dotfiles

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 pydantic

README.md
[![agentmods](https://agentmods.dev/badge/skills/mte90/dotfiles/pydantic.svg)](https://agentmods.dev/skills/mte90/dotfiles/pydantic)
Your own site
<a href="https://agentmods.dev/skills/mte90/dotfiles/pydantic"><img src="https://agentmods.dev/badge/skills/mte90/dotfiles/pydantic.svg" alt="Measured on agentmods" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 9,239 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00023 $0.09239
Opus 5 $0.00012 $0.04619
Sonnet 5 $0.00005 $0.01848
Haiku 4.5 $0.00002 $0.00924

Measured 2d ago against content hash ced26dadabe6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

pydantic 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 2d 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.

.config/opencode/skills/pydantic/SKILL.md · 1,514 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 2d ago First seen · 1,514 lines · 23 tokens per session scan A ced26dadabe6

Subscribe to this mod's changes

pydantic is a skill published in the GitHub repository Mte90/dotfiles (51 stars, last pushed 4d ago), with no licence file. It adds 23 tokens to every session and 9,239 once invoked, about $0.0001 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 2026-09-03.

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