Data validation
全球最大的 Claude Code 技能聚合库 · 收录 3900+ 来自 12+ 来源的技能,提供在线搜索与趋势分析看板 / The world's largest Claude Code skill aggregation hub — 3900+ skills from 12+ sources with online search and trend dashboard
npx -y skills add bg-szy/TOP-SKILLS --skill data-validationAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Use when implementing data validation for API payloads, form inputs, or database writes. Triggers for: Pydantic models, Zod schemas, input sanitization, type validation, field constraints, or request/response schemas. NOT for: business logic (use domain services) or authentication/authorization.
SKILL.md
17.6 KB, as published. Nobody here has run it
Data Validation Skill
Expert data validation for Python backends (Pydantic) and TypeScript frontends (Zod) with type-safe validation pipelines.
Quick Reference
| Layer | Tool | Purpose |
|---|---|---|
| Backend | Pydantic v2 | Request/response validation |
| Frontend | Zod | Form validation, schema inference |
| Sanitization | bleach, strip-html | Input cleaning |
| Types | mypy, TypeScript | Compile-time safety |
Project Structure
backend/
├── app/
│ ├── schemas/
│ │ ├── __init__.py
│ │ ├── student.py # StudentCreate, StudentUpdate, StudentOut
│ │ ├── fee.py # FeeCreate, FeeOut
│ │ └── common.py # PaginationParams, ErrorDetail
│ └── models/ # SQLModel (separate from schemas)
frontend/
├── lib/
│ ├── schemas/
│ │ ├── student.schema.ts
│ │ └── index.ts # Export all schemas
│ └── validation.ts # Shared validation utilities
└── types/
└── shared.ts # Inferred types from Zod
Backend: Pydantic Models
Separate In/Out Models
# backend/app/schemas/student.py
from datetime import datetime
from typing import Optional
from pydantic import BaseModel, EmailStr, Field, ConfigDict
# === CREATE Models (Input) ===
class StudentCreate(BaseModel):
"""Payload for creating a new student."""
first_name: str = Field(
...,
min_length=1,
max_length=100,
examples=["John"],
description="Student's first name",
)
last_name: str = Field(
...,
min_length=1,
max_length=100,
examples=["Doe"],
)
email: EmailStr = Field(..., examples=["[email protected]"])
phone: Optional[str] = Field(
None,
pattern=r"^\+?[1-9]\d{9,14}$",
examples=["+1234567890"],
)
date_of_birth: datetime = Field(..., description="Student's birth date")
grade_level: int = Field(..., ge=1, le=12, examples=[9])
enrollment_date: datetime = Field(default_factory=datetime.utcnow)
model_config = ConfigDict(
json_schema_extra={
"examples": [
{
"first_name": "John",
"last_name": "Doe",
"email": "[email protected]",
"date_of_birth": "2008-05-15T00:00:00Z",
"grade_level": 9,
}
]
}
)
class StudentUpdate(BaseModel):
"""Payload for updating a student. All fields optional."""
first_name: Optional[str] = Field(None, min_length=1, max_length=100)
last_name: Optional[str] = Field(None, min_length=1, max_length=100)
email: Optional[EmailStr] = None
phone: Optional[str] = Field(None, pattern=r"^\+?[1-9]\d{9,14}$")
grade_level: Optional[int] = Field(None, ge=1, le=12)
is_active: Optional[bool] = None
# === OUTPUT Models (Response) ===
class StudentOut(BaseModel):
"""Response model for student data."""
id: int
first_name: str
last_name: str
email: str
phone: Optional[str] = None
date_of_birth: datetime
grade_level: int
enrollment_date: datetime
is_active: bool
created_at: datetime
updated_at: datetime
model_config = ConfigDict(from_attributes=True)
class StudentWithFees(StudentOut):
"""Student with nested fee information."""
fees: list["FeeOut"] = []
Custom Validators
# backend/app/schemas/student.py (continued)
from pydantic import field_validator, model_validator
from datetime import date
class StudentCreate(BaseModel):
# ... fields as above
@field_validator("date_of_birth", mode="before")
@classmethod
def parse_date_of_birth(cls, v):
if isinstance(v, str):
return datetime.fromisoformat(v.replace("Z", "+00:00"))
return v
@model_validator(mode="after")
def validate_age_range(self):
"""Ensure student is a reasonable age for school."""
dob = self.date_of_birth
if isinstance(dob, datetime):
dob = dob.date()
today = date.today()
age = today.year - dob.year - ((today.month, today.day) < (dob.month, dob.day))
if age < 5:
raise ValueError("Student must be at least 5 years old")
if age > 25:
raise ValueError("Age seems unreasonable for school enrollment")
return self
Common Schemas
# backend/app/schemas/common.py
from typing import Generic, TypeVar, Optional, List
from pydantic import BaseModel, Field
T = TypeVar("T")
class PaginationParams(BaseModel):
"""Standard pagination parameters."""
skip: int = Field(0, ge=0, description="Number of records to skip")
limit: int = Field(100, ge=1, le=1000, description="Max records to return")
class PaginatedResponse(BaseModel, Generic[T]):
"""Standard paginated response wrapper."""
data: List[T]
total: int = Field(..., description="Total count of records")
skip: int
limit: int
has_more: bool = Field(..., description="Whether more records exist")
class ErrorDetail(BaseModel):
"""Detailed validation error."""
field: str = Field(..., examples=["email"])
message: str = Field(..., examples=["Invalid email format"])
code: str = Field(..., examples=["value_error"])
class ValidationErrorResponse(BaseModel):
"""Standard validation error response."""
error: dict = Field(..., description="Error details")
details: Optional[List[ErrorDetail]] = None
# === Search & Filter ===
class SearchParams(BaseModel):
"""Standard search parameters."""
query: Optional[str] = Field(None, min_length=1, max_length=200)
sort_by: str = Field("created_at")
sort_order: str = Field("desc", pattern="^(asc|desc)$")
Frontend: Zod Schemas
Basic Schemas
// frontend/lib/schemas/student.schema.ts
import { z } from "zod";
// === CONSTANTS (shared with backend) ===
const NAME_MIN_LENGTH = 1;
const NAME_MAX_LENGTH = 100;
const PHONE_REGEX = /^\+?[1-9]\d{9,14}$/;
const GRADE_MIN = 1;
const GRADE_MAX = 12;
// === CREATE SCHEMA ===
export const studentCreateSchema = z.object({
first_name: z
.string()
.min(NAME_MIN_LENGTH, { message: "First name is required" })
.max(NAME_MAX_LENGTH, { message: "Maximum 100 characters allowed" })
.trim(),
last_name: z
.string()
.min(NAME_MIN_LENGTH, { message: "Last name is required" })
.max(NAME_MAX_LENGTH, { message: "Maximum 100 characters allowed" })
.trim(),
email: z.string().email({ message: "Invalid email address" }),
phone: z
.string()
.regex(PHONE_REGEX, { message: "Invalid phone number format" })
.optional()
.or(z.literal("")),
date_of_birth: z.string().datetime({ message: "Invalid date format" }),
grade_level: z
.number()
.int()
.min(GRADE_MIN, { message: `Grade must be at least ${GRADE_MIN}` })
.max(GRADE_MAX, { message: `Grade cannot exceed ${GRADE_MAX}` }),
});
// === UPDATE SCHEMA (partial) ===
export const studentUpdateSchema = studentCreateSchema.partial();
// === OUTPUT/RESPONSE SCHEMA ===
export const studentOutSchema = z.object({
id: z.number(),
first_name: z.string(),
last_name: z.string(),
email: z.string().email(),
phone: z.string().nullable(),
date_of_birth: z.string().datetime(),
grade_level: z.number().int().min(GRADE_MIN).max(GRADE_MAX),
enrollment_date: z.string().datetime(),
is_active: z.boolean(),
created_at: z.string().datetime(),
updated_at: z.string().datetime(),
});
// === INFERRED TYPES ===
export type StudentCreateInput = z.infer<typeof studentCreateSchema>;
export type StudentUpdateInput = z.infer<typeof studentUpdateSchema>;
export type StudentOutput = z.infer<typeof studentOutSchema>;
Advanced Zod Patterns
// frontend/lib/schemas/student.schema.ts (continued)
import { date, string } from "zod";
// === CROSS-FIELD VALIDATION ===
export const studentCreateSchema = z
.object({
first_name: z.string().min(1).max(100),
last_name: z.string().min(1).max(100),
email: z.string().email(),
phone: z.string().regex(/^\+?[1-9]\d{9,14}$/).optional(),
date_of_birth: z.string().datetime(),
grade_level: z.number().int().min(1).max(12),
})
.refine(
(data) => {
// Cross-field validation: date of birth must be in the past
const dob = new Date(data.date_of_birth);
return dob < new Date();
},
{
message: "Date of birth must be in the past",
path: ["date_of_birth"],
}
)
.refine(
(data) => {
// Ensure age is reasonable for school
const dob = new Date(data.date_of_birth);
const age =
new Date().getFullYear() - dob.getFullYear();
return age >= 5 && age <= 25;
},
{
message: "Student age must be between 5 and 25 years",
path: ["date_of_birth"],
}
);
// === CUSTOM TRANSFORMERS ===
export const phoneSchema = z
.string()
.regex(/^\+?[1-9]\d{9,14}$/, { message: "Invalid phone number" })
.transform((phone) => phone.replace(/\s+/g, "")); // Normalize
// === ENUM SCHEMAS ===
export const feeStatusSchema = z.enum(["pending", "paid", "overdue", "waived"]);
// === NESTED SCHEMAS ===
export const addressSchema = z.object({
street: z.string().min(1).max(200),
city: z.string().min(1).max(100),
state: z.string().min(2).max(50),
zip_code: z.string().regex(/^\d{5}(-\d{4})?$/),
country: z.string().min(2).max(100).default("USA"),
});
export const studentWithAddressSchema = studentOutSchema.extend({
address: addressSchema.nullable(),
});
// === DISCRIMINATED UNIONS ===
export const enrollmentStatusSchema = z.discriminatedUnion("status", [
z.object({
status: z.literal("active"),
last_attendance_date: z.string().datetime(),
}),
z.object({
status: z.literal("inactive"),
reason: z.string().min(1),
inactive_since: z.string().datetime(),
}),
z.object({
status: z.literal("pending"),
expected_start_date: z.string().datetime(),
}),
]);
Form Integration
// frontend/components/StudentForm.tsx
"use client";
import { useForm } from "react-hook-form";
import { zodResolver } from "@hookform/resolvers/zod";
import { studentCreateSchema, type StudentCreateInput } from "@/lib/schemas/student.schema";
export function StudentForm() {
const {
register,
handleSubmit,
formState: { errors, isSubmitting },
setError,
} = useForm<StudentCreateInput>({
resolver: zodResolver(studentCreateSchema),
mode: "onBlur",
});
const onSubmit = async (data: StudentCreateInput) => {
try {
const response = await fetch("/api/v1/students", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(data),
});
if (!response.ok) {
const errorData = await response.json();
// Map backend errors to form fields
if (errorData.details) {
for (const detail of errorData.details) {
setError(detail.field as keyof StudentCreateInput, {
message: detail.message,
});
}
}
return;
}
// Success handling
router.push("/students");
} catch {
// Network or unexpected error
setError("root", {
message: "An unexpected error occurred. Please try again.",
});
}
};
return (
<form onSubmit={handleSubmit(onSubmit)} className="space-y-4">
{/* First Name */}
<div>
<label htmlFor="first_name">First Name</label>
<input
id="first_name"
{...register("first_name")}
className={errors.first_name ? "border-red-500" : ""}
/>
{errors.first_name && (
<p className="text-red-500">{errors.first_name.message}</p>
)}
</div>
{/* Last Name */}
<div>
<label htmlFor="last_name">Last Name</label>
<input
id="last_name"
{...register("last_name")}
className={errors.last_name ? "border-red-500" : ""}
/>
{errors.last_name && (
<p className="text-red-500">{errors.last_name.message}</p>
)}
</div>
{/* Email */}
<div>
<label htmlFor="email">Email</label>
<input
id="email"
type="email"
{...register("email")}
className={errors.email ? "border-red-500" : ""}
/>
{errors.email && (
<p className="text-red-500">{errors.email.message}</p>
)}
</div>
{/* Grade Level */}
<div>
<label htmlFor="grade_level">Grade Level</label>
<select
id="grade_level"
{...register("grade_level", { valueAsNumber: true })}
className={errors.grade_level ? "border-red-500" : ""}
>
{Array.from({ length: 12 }, (_, i) => i + 1).map((grade) => (
<option key={grade} value={grade}>
Grade {grade}
</option>
))}
</select>
{errors.grade_level && (
<p className="text-red-500">{errors.grade_level.message}</p>
)}
</div>
{/* Date of Birth */}
<div>
<label htmlFor="date_of_birth">Date of Birth</label>
<input
id="date_of_birth"
type="date"
{...register("date_of_birth")}
className={errors.date_of_birth ? "border-red-500" : ""}
/>
{errors.date_of_birth && (
<p className="text-red-500">{errors.date_of_birth.message}</p>
)}
</div>
{errors.root && (
<p className="text-red-500">{errors.root.message}</p>
)}
<button type="submit" disabled={isSubmitting}>
{isSubmitting ? "Creating..." : "Create Student"}
</button>
</form>
);
}
Input Sanitization
Backend Sanitization
# backend/app/core/sanitize.py
import re
from typing import Any
def strip_html(text: str) -> str:
"""Remove HTML tags from text."""
if not text:
return text
# Simple strip - use bleach for more robust sanitization
return re.sub(r"<[^>]*>", "", text)
def sanitize_string(
value: Any,
max_length: int = None,
allow_html: bool = False,
) -> str:
"""Sanitize a string value."""
if value is None:
return ""
s = str(value).strip()
if not allow_html:
s = strip_html(s)
if max_length:
s = s[:max_length]
return s
def sanitize_for_database(value: Any) -> Any:
"""General database input sanitization."""
if isinstance(value, str):
return sanitize_string(value, max_length=10000)
if isinstance(value, list):
return [sanitize_for_database(v) for v in value]
if isinstance(value, dict):
return {k: sanitize_for_database(v) for k, v in value.items()}
return value
Validator with Sanitization
# backend/app/schemas/student.py
from pydantic import field_validator
class StudentCreate(BaseModel):
first_name: str
last_name: str
email: EmailStr
@field_validator("first_name", "last_name", mode="before")
@classmethod
def sanitize_names(cls, v):
if isinstance(v, str):
return sanitize_string(v, max_length=100)
return v
Schema Sharing Strategy
Field Consistency
# backend/app/schemas/student.py
class StudentCreate(BaseModel):
first_name: str = Field(
...,
min_length=1,
max_length=100,
json_schema_extra={
"frontend_type": "text",
"validation": {
"min": 1,
"max": 100,
},
},
)
// frontend/lib/schemas/shared/constants.ts
// Match backend constraints
export const STUDENT_NAME_MAX_LENGTH = 100;
export const STUDENT_NAME_MIN_LENGTH = 1;
export const PHONE_REGEX = /^\+?[1-9]\d{9,14}$/;
export const GRADE_MIN = 1;
export const GRADE_MAX = 12;
Contract Documentation
# Student Schema Contract
## StudentCreate
| Field | Type | Required | Min | Max | Pattern | Description |
|-------|------|----------|-----|-----|---------|-------------|
| first_name | string | yes | 1 | 100 | - | Student's first name |
| last_name | string | yes | 1 | 100 | - | Student's last name |
| email | string (email) | yes | - | - | RFC 5322 | Valid email address |
| phone | string | no | - | 15 | `^\+?[1-9]\d{9,14}$` | E.164 format |
| date_of_birth | datetime | yes | - | - | ISO 8601 | Birth date |
| grade_level | int | yes | 1 | 12 | - | Grade (K-12) |
Quality Checklist
- All external inputs validated: Every API input has a schema
- Helpful error messages: Each field has clear, actionable validation messages
- No trust on client-only validation: Backend re-validates all inputs
- Length/format constraints defined: All string fields have min/max
- Separate in/out models: Create/Update (input) vs Output (response)
- Type-safe pipeline: Frontend Zod infers TypeScript types
- Sanitization applied: Input cleaning before validation
Integration Points
| Skill | Integration |
|---|---|
@api-route-design | Use schemas in response_model, Body() |
@error-handling | Validation errors return proper error codes |
@fastapi-app | Auto-generated OpenAPI docs from Pydantic |
@sqlmodel-crud | Create/Update schemas match model fields |