pydantic

pydantic is a skill for Claude Code, Codex from kid-sid/codex-spellbook. It costs 43 tokens per session (3,031 once invoked), scanned A, original, MIT.

Pravidlá pre Pydantic 2, knižnicu na overovanie údajov, tvorbu schém a nastavovanie aplikácií z premenných prostredia.

In plain words
What is it for?
Na definovanie API schém, vlastné validátory, čiastočné aktualizácie, serializáciu, overovanie ľubovoľných údajov a konfiguráciu nastavení aplikácie.
Why use it?
Pomáha udržať vstupné a výstupné údaje správne, bezpečne ich prevádzať a kontrolovať vlastné validačné pravidlá.

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/kid-sid/codex-spellbook/pydantic
Any agent
npx skills add kid-sid/codex-spellbook --skill pydantic
Clone the repo
git clone --depth 1 https://github.com/kid-sid/codex-spellbook

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/kid-sid/codex-spellbook/pydantic.svg)](https://agentmods.dev/skills/kid-sid/codex-spellbook/pydantic)
Your own site
<a href="https://agentmods.dev/skills/kid-sid/codex-spellbook/pydantic"><img src="https://agentmods.dev/badge/skills/kid-sid/codex-spellbook/pydantic.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,031 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 $0.00043 $0.03031
Opus 5 $0.00022 $0.01515
Sonnet 5 $0.00009 $0.00606
Haiku 4.5 $0.00004 $0.00303

Measured 4d ago against content hash c146249406a9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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 4d 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.

skills/pydantic/SKILL.md · 372 lines

How it starts

The opening of the file, as written. The whole thing — 372 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Pydantic v2 Patterns

Validation, serialization, and settings management with Pydantic v2.

When to Activate

  • Defining request/response schemas or domain models
  • Writing @field_validator or @model_validator for custom validation
  • Using Annotated to build reusable constrained types
  • Controlling serialization with model_dump() / model_dump_json()
  • Building generic models or discriminated unions
  • Validating arbitrary data (not a model) with TypeAdapter
  • Configuring app settings from environment variables with pydantic-settings

BaseModel Basics

from pydantic import BaseModel, Field
from datetime import datetime
from uuid import UUID

class User(BaseModel):
    id: UUID
    name: str
    email: str
    age: int = Field(ge=0, le=150)
    role: str = "user"          # default value
    created_at: datetime | None = None

# Instantiate
user = User(id="a1b2...", name="Alice", email="[email protected]", age=30)

# Access
user.name        # "Alice"
user.model_fields  # dict of FieldInfo

# Validate from dict / JSON
user = User.model_validate({"id": "...", "name": "Alice", ...})
user = User.model_validate_json('{"id": "...", "name": "Alice", ...}')

Field Constraints

from pydantic import BaseModel, Field
from typing import Annotated

class Product(BaseModel):
    name: str = Field(min_length=1, max_length=200, strip_whitespace=True)
    price: float = Field(gt=0, description="Price in USD")
    discount: float = Field(ge=0, le=1, default=0.0)    # 0–100%
    tags: list[str] = Field(default_factory=list, max_length=10)
    sku: str = Field(pattern=r"^[A-Z]{3}-\d{6}$")
    metadata: dict = Field(default_factory=dict)

    # Alias — accept "product_name" in input, use "name" in Python
    name: str = Field(alias="product_name")

Reusable constrained types with Annotated

from typing import Annotated
from pydantic import Field

# Define once, reuse everywhere
PositiveInt   = Annotated[int,   Field(gt=0)]
Percentage    = Annotated[float, Field(ge=0.0, le=1.0)]
NonEmptyStr   = Annotated[str,   Field(min_length=1, strip_whitespace=True)]
EmailStr      = Annotated[str,   Field(pattern=r"^[^@]+@[^@]+\.[^@]+$")]
UserId        = Annotated[str,   Field(min_length=36, max_length=36)]

class CreateUserRequest(BaseModel):
    name: NonEmptyStr
    email: EmailStr
    age: PositiveInt
    discount: Percentage = 0.0

Read the full file on GitHub · 372 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. 4d ago First seen · 372 lines · 43 tokens per session scan A c146249406a9

Subscribe to this mod's changes

pydantic is a skill published in the GitHub repository kid-sid/codex-spellbook (21 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 3,031 once invoked, about $0.0002 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.

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