一键导入
testing
Use when writing, reviewing, or improving tests, deciding what to mock, or designing interfaces for testability.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Use when writing, reviewing, or improving tests, deciding what to mock, or designing interfaces for testability.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
CLI tool for interacting with MCP (Model Context Protocol) servers. Use when invoking MCP tools, managing MCP servers, or working with MCP-based APIs. Triggers on "MCP server", "mcpli", "invoke MCP tool", or any MCP server interaction.
Use when executing a plan or implementing a coding task. Turns a plan or clear request into working code, tests, and verification.
Use for researching, checking facts, looking things online, comparing options, etc.
Use when asked to plan a coding task. Produces a written implementation plan (research plus steps) for a code change.
Use before performing a rebase or resolving rebase conflicts.
Use when opening a pull request, pushing changes for review, or when the user says "open PR", "create PR", "send for review", or "get this merged".
| name | testing |
| description | Use when writing, reviewing, or improving tests, deciding what to mock, or designing interfaces for testability. |
Load skill: mocking
Good interfaces make testing natural:
Accept dependencies, don't create them
// Testable
function processOrder(order, paymentGateway) {}
// Hard to test
function processOrder(order) {
const gateway = new StripeGateway();
}
Return results, don't produce side effects
// Testable
function calculateDiscount(cart): Discount {}
// Hard to test
function applyDiscount(cart): void {
cart.total -= discount;
}
Small surface area
Good tests are integration-style: they exercise real code paths through public APIs. They describe what the system does, not how it does it. A good test reads like a specification - "user can checkout with valid cart" tells you exactly what capability exists. These tests survive refactors because they don't care about internal structure.
// GOOD: Tests observable behavior
test("user can checkout with valid cart", async () => {
const cart = createCart();
cart.add(product);
const result = await checkout(cart, paymentMethod);
expect(result.status).toBe("confirmed");
});
Characteristics:
Bad tests are coupled to implementation. They mock internal collaborators, test private methods, or verify through external means (like querying a database directly instead of using the interface). The warning sign: your test breaks when you refactor, but behavior hasn't changed. If you rename an internal function and tests fail, those tests were testing implementation, not behavior.
// BAD: Tests implementation details
test("checkout calls paymentService.process", async () => {
const mockPayment = jest.mock(paymentService);
await checkout(cart, payment);
expect(mockPayment.process).toHaveBeenCalledWith(cart.total);
});
Red flags:
// BAD: Bypasses interface to verify
test("createUser saves to database", async () => {
await createUser({ name: "Alice" });
const row = await db.query("SELECT * FROM users WHERE name = ?", ["Alice"]);
expect(row).toBeDefined();
});
// GOOD: Verifies through interface
test("createUser makes user retrievable", async () => {
const user = await createUser({ name: "Alice" });
const retrieved = await getUser(user.id);
expect(retrieved.name).toBe("Alice");
});