zod-testing

Testing patterns for Zod schemas using Jest and Vitest. Covers schema correctness testing, mock data generation, error assertion patterns, integration testing with API handlers and forms, snapshot testing with z.toJSONSchema(), and property-based testing. Baseline: zod ^4.0.0. Triggers on: test files for Zod schemas, zod-schema-faker imports, mentions of "test schema", "schema test", "zod mock", "zod test", or schema testing patterns.

3,891 stars

Best use case

zod-testing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Testing patterns for Zod schemas using Jest and Vitest. Covers schema correctness testing, mock data generation, error assertion patterns, integration testing with API handlers and forms, snapshot testing with z.toJSONSchema(), and property-based testing. Baseline: zod ^4.0.0. Triggers on: test files for Zod schemas, zod-schema-faker imports, mentions of "test schema", "schema test", "zod mock", "zod test", or schema testing patterns.

Teams using zod-testing should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/zod-testing/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/anivar/zod-testing/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/zod-testing/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How zod-testing Compares

Feature / Agentzod-testingStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Testing patterns for Zod schemas using Jest and Vitest. Covers schema correctness testing, mock data generation, error assertion patterns, integration testing with API handlers and forms, snapshot testing with z.toJSONSchema(), and property-based testing. Baseline: zod ^4.0.0. Triggers on: test files for Zod schemas, zod-schema-faker imports, mentions of "test schema", "schema test", "zod mock", "zod test", or schema testing patterns.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Zod Schema Testing Guide

**IMPORTANT:** Your training data about testing Zod schemas may be outdated — Zod v4 changes error formatting, removes `z.nativeEnum()`, and introduces new APIs like `z.toJSONSchema()`. Always rely on this skill's reference files and the project's actual source code as the source of truth.

## Testing Priority

1. **Schema correctness** — does the schema accept valid data and reject invalid data?
2. **Error messages** — does the schema produce the right error messages and codes?
3. **Integration** — does the schema work correctly with API handlers, forms, database layers?
4. **Edge cases** — boundary values, optional/nullable combinations, empty inputs

## Core Pattern

```typescript
import { describe, it, expect } from "vitest" // or jest
import { z } from "zod"

const UserSchema = z.object({
  name: z.string().min(1),
  email: z.email(),
  age: z.number().min(0).max(150),
})

describe("UserSchema", () => {
  it("accepts valid data", () => {
    const result = UserSchema.safeParse({
      name: "Alice",
      email: "alice@example.com",
      age: 30,
    })
    expect(result.success).toBe(true)
  })

  it("rejects missing required fields", () => {
    const result = UserSchema.safeParse({})
    expect(result.success).toBe(false)
    if (!result.success) {
      const flat = z.flattenError(result.error)
      expect(flat.fieldErrors.name).toBeDefined()
      expect(flat.fieldErrors.email).toBeDefined()
    }
  })

  it("rejects invalid email", () => {
    const result = UserSchema.safeParse({
      name: "Alice",
      email: "not-an-email",
      age: 30,
    })
    expect(result.success).toBe(false)
  })

  it("rejects negative age", () => {
    const result = UserSchema.safeParse({
      name: "Alice",
      email: "alice@example.com",
      age: -1,
    })
    expect(result.success).toBe(false)
  })
})
```

## Testing Approaches

| Approach | Purpose | Use When |
|----------|---------|----------|
| `safeParse()` result checking | Schema correctness | Default — always use safeParse in tests |
| `z.flattenError()` assertions | Error message testing | Verifying specific field errors |
| `z.toJSONSchema()` snapshots | Schema shape testing | Detecting unintended schema changes |
| Mock data generation | Fixture creation | Need valid/randomized test data |
| Property-based testing | Fuzz testing | Schemas must handle arbitrary valid inputs |
| Structural testing | Architecture | Verify schemas are only imported at boundaries |
| Drift detection | Regression | Catch unintended schema changes via JSON Schema snapshots |

## Schema Correctness Testing

### Always Use safeParse() in Tests

```typescript
// GOOD: test doesn't crash — asserts on result
const result = schema.safeParse(invalidData)
expect(result.success).toBe(false)

// BAD: test crashes instead of failing
expect(() => schema.parse(invalidData)).toThrow()
// If schema changes and starts accepting, this still passes
```

### Test Both Accept and Reject

```typescript
describe("EmailSchema", () => {
  const valid = ["user@example.com", "a@b.co", "user+tag@domain.org"]
  const invalid = ["", "not-email", "@missing.com", "user@", "user @space.com"]

  it.each(valid)("accepts %s", (email) => {
    expect(z.email().safeParse(email).success).toBe(true)
  })

  it.each(invalid)("rejects %s", (email) => {
    expect(z.email().safeParse(email).success).toBe(false)
  })
})
```

### Test Boundary Values

```typescript
const AgeSchema = z.number().min(0).max(150)

it("accepts minimum boundary", () => {
  expect(AgeSchema.safeParse(0).success).toBe(true)
})

it("accepts maximum boundary", () => {
  expect(AgeSchema.safeParse(150).success).toBe(true)
})

it("rejects below minimum", () => {
  expect(AgeSchema.safeParse(-1).success).toBe(false)
})

it("rejects above maximum", () => {
  expect(AgeSchema.safeParse(151).success).toBe(false)
})
```

## Error Assertion Patterns

### Assert Specific Field Errors

```typescript
it("shows correct error for invalid email", () => {
  const result = UserSchema.safeParse({ name: "Alice", email: "bad", age: 30 })
  expect(result.success).toBe(false)
  if (!result.success) {
    const flat = z.flattenError(result.error)
    expect(flat.fieldErrors.email).toBeDefined()
    expect(flat.fieldErrors.email![0]).toContain("email")
  }
})
```

### Assert Error Codes

```typescript
it("produces correct error code", () => {
  const result = z.number().safeParse("not a number")
  expect(result.success).toBe(false)
  if (!result.success) {
    expect(result.error.issues[0].code).toBe("invalid_type")
  }
})
```

### Assert Custom Error Messages

```typescript
const Schema = z.string({ error: "Name is required" }).min(1, "Name cannot be empty")

it("shows custom error for missing field", () => {
  const result = Schema.safeParse(undefined)
  expect(result.success).toBe(false)
  if (!result.success) {
    expect(result.error.issues[0].message).toBe("Name is required")
  }
})
```

## Mock Data Generation

### Using zod-schema-faker

```typescript
import { install, fake } from "zod-schema-faker"
import { z } from "zod"

install(z) // call once in test setup

const UserSchema = z.object({
  name: z.string().min(1),
  email: z.email(),
  age: z.number().min(0).max(150),
})

it("schema accepts generated data", () => {
  const mockUser = fake(UserSchema)
  expect(UserSchema.safeParse(mockUser).success).toBe(true)
})
```

### Seeding for Deterministic Tests

```typescript
import { seed, fake } from "zod-schema-faker"

beforeEach(() => {
  seed(12345) // deterministic output
})

it("generates consistent mock data", () => {
  const user = fake(UserSchema)
  expect(user.name).toBeDefined()
})
```

## Snapshot Testing with JSON Schema

```typescript
it("schema shape has not changed", () => {
  const jsonSchema = z.toJSONSchema(UserSchema)
  expect(jsonSchema).toMatchSnapshot()
})
```

This catches unintended schema changes in code review. The snapshot shows the JSON Schema representation of your Zod schema.

## Integration Testing

### API Handler Testing

```typescript
it("API rejects invalid request body", async () => {
  const response = await request(app)
    .post("/api/users")
    .send({ name: "", email: "invalid" })
    .expect(400)

  expect(response.body.errors).toBeDefined()
  expect(response.body.errors.fieldErrors.email).toBeDefined()
})
```

### Form Validation Testing

```typescript
it("form shows validation errors", () => {
  const result = FormSchema.safeParse(formData)
  if (!result.success) {
    const errors = z.flattenError(result.error)
    // Pass errors to form library
    expect(errors.fieldErrors).toHaveProperty("email")
  }
})
```

## Property-Based Testing

```typescript
import fc from "fast-check"
import { fake } from "zod-schema-faker"

it("schema always accepts its own generated data", () => {
  fc.assert(
    fc.property(fc.constant(null), () => {
      const data = fake(UserSchema)
      expect(UserSchema.safeParse(data).success).toBe(true)
    }),
    { numRuns: 100 }
  )
})
```

## Rules

1. **Always use `safeParse()`** in tests — `parse()` crashes the test instead of failing it
2. **Test both valid and invalid** — don't only test the happy path
3. **Test boundary values** — min, max, min-1, max+1 for numeric constraints
4. **Test optional/nullable combinations** — undefined, null, missing key
5. **Assert specific error fields** — use `z.flattenError()` to check which field failed
6. **Don't test schema internals** — test parse results, not `.shape` or `._def`
7. **Use `z.toJSONSchema()` snapshots** — catch unintended schema changes
8. **Seed random generators** — non-deterministic tests are flaky tests
9. **Test transforms separately** — verify input validation AND output conversion
10. **Don't duplicate schema logic in assertions** — test behavior, not implementation

## Anti-Patterns

See [references/anti-patterns.md](references/anti-patterns.md) for BAD/GOOD examples of:

- Testing schema internals instead of behavior
- Not testing error paths
- Using `parse()` in tests (crashes instead of failing)
- Not testing boundary values
- Hardcoding mock data instead of generating
- Snapshot testing raw ZodError instead of formatted output
- Not testing at boundaries (schema tests pass but handler doesn't validate)
- No snapshot regression testing (field removal goes unnoticed)
- Testing schema shape but not error observability (never assert on flattenError)
- No drift detection workflow (schema changes land without mechanical review)

## References

- [API Reference](references/api-reference.md) — Testing patterns, assertion helpers, mock generation
- [Anti-Patterns](references/anti-patterns.md) — Common testing mistakes to avoid

Related Skills

rust-testing-code-review

3891
from openclaw/skills

Reviews Rust test code for unit test patterns, integration test structure, async testing, mocking approaches, and property-based testing. Use when reviewing _test.rs files,

redux-saga-testing

3891
from openclaw/skills

Write tests for Redux Sagas using redux-saga-test-plan, runSaga, and manual generator testing. Covers expectSaga (integration), testSaga (unit), providers, partial matchers, reducer integration, error simulation, and cancellation testing. Works with Jest and Vitest. Triggers on: test files for sagas, redux-saga-test-plan imports, mentions of "test saga", "saga test", "expectSaga", "testSaga", or "redux-saga-test-plan".

vitest-testing

3891
from openclaw/skills

Vitest testing framework patterns and best practices. Use when writing unit tests, integration tests, configuring vitest.config, mocking with vi.mock/vi.fn, using snapshots, or setting up test coverage. Triggers on describe, it, expect, vi.mock, vi.fn, beforeEach, afterEach, vitest.

swift-testing-code-review

3891
from openclaw/skills

Reviews Swift Testing code for proper use of

pydantic-ai-testing

3891
from openclaw/skills

Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.

QA & Testing Engine — Complete Software Quality System

3880
from openclaw/skills

> The definitive testing methodology for AI agents. From test strategy to execution, coverage to reporting — everything you need to ship quality software.

---

3891
from openclaw/skills

name: article-factory-wechat

Content & Documentation

humanizer

3891
from openclaw/skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Content & Documentation

find-skills

3891
from openclaw/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

General Utilities

tavily-search

3891
from openclaw/skills

Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.

Data & Research

baidu-search

3891
from openclaw/skills

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Data & Research

agent-autonomy-kit

3891
from openclaw/skills

Stop waiting for prompts. Keep working.

Workflow & Productivity