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Agent Skill · 研究检索

implementing-api-schema-validation-security(implementing API schema validation 安全)

用于辅助 API 设计、接口文档、请求响应结构和服务集成说明。它适合让 Agent 梳理 endpoint、生成 OpenAPI 草稿、检查字段命名、整理错误码或辅助前后端联调。使用时需要确认真实业务语义、鉴权方式、分页和错误处理规则;涉及生成接口文档时,应避免凭空补字段,最好从现有代码、schema 或接口样例中提取事实。

implementing-api-schema-validation-security 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 64,068。

总安装 306周安装 13GitHub Stars 5,919下载 107核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
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unknown

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:implementing-api-schema-validation-security(implementing API schema validation 安全)
来源仓库:https://github.com/mukul975/anthropic-cybersecurity-skills
仓库路径:skills/implementing-api-schema-validation-security
安装命令:
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill implementing-api-schema-validation-security
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/mukul975/anthropic-cybersecurity-skills --skill implementing-api-schema-validation-security

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

implementing-api-schema-validation-security 用于辅助 API 设计、接口文档和错误码整理,支持服务集成说明。适用于梳理 endpoint、生成 OpenAPI 草稿或检查字段命名规范等场景。可辅助前后端联调,但需避免凭空补字段,应基于现有代码或样例提取事实。

安装命令为 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill implementing-api-schema-validation-security。

使用时需确认业务语义、鉴权方式和分页规则,确保接口定义准确。

来源仓库内路径:skills/implementing-api-schema-validation-security

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skil…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

implementing-api-schema-validation-security 怎么安装?

在终端执行 npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill implemen…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

implementing-api-schema-validation-security 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

implementing-api-schema-validation-security 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

implementing-api-schema-validation-security 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

implementing-api-schema-validation-security 用的人多吗?

公开数据是累计安装 306 次,近一周安装 13 次,下载 107 次,GitHub 5,919 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

implementing-api-schema-validation-security 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 5,919 星,维护活跃度相对可查。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
implementing-api-schema-validation-security

implementing API schema validation 安全 · 本页

3065,919需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Implementing API Schema Validation Security

Overview

API schema validation enforces that all data exchanged through APIs conforms to a predefined structure defined in OpenAPI Specification (OAS) or JSON Schema documents. This prevents injection attacks (SQLi, XSS, XXE), blocks mass assignment by rejecting unknown properties, prevents data leakage by validating response schemas, and ensures type safety across all API interactions. Schema validation operates at both the API gateway level (runtime enforcement) and during development (shift-left security).

When to Use

  • When deploying or configuring implementing api schema validation security capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • OpenAPI Specification v3.0 or v3.1 for all API endpoints
  • API gateway with schema validation support (Cloudflare API Shield, Kong, AWS API Gateway)
  • JSON Schema draft-07 or later understanding
  • Development environment with OpenAPI validation libraries
  • CI/CD pipeline for automated schema compliance testing

Core Implementation

OpenAPI Schema with Security Constraints

openapi: 3.1.0
info:
  title: Secure E-Commerce API
  version: 2.0.0
servers:
  - url: https://api.example.com/v2
    description: Production (HTTPS enforced)
security:
  - OAuth2:
      - read:products
      - write:orders

paths:
  /products:
    post:
      operationId: createProduct
      security:
        - OAuth2: [write:products]
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/ProductCreate'
      responses:
        '201':
          description: Product created
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Product'
        '400':
          $ref: '#/components/responses/ValidationError'
        '401':
          $ref: '#/components/responses/Unauthorized'

  /products/{productId}:
    get:
      operationId: getProduct
      parameters:
        - name: productId
          in: path
          required: true
          schema:
            type: string
            format: uuid
            pattern: '^[0-9a-f]{8}-[0-9a-f]{4}-4[0-9a-f]{3}-[89ab][0-9a-f]{3}-[0-9a-f]{12}$'
      responses:
        '200':
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Product'

components:
  schemas:
    ProductCreate:
      type: object
      required: [name, price, category]
      properties:
        name:
          type: string
          minLength: 1
          maxLength: 200
          pattern: '^[a-zA-Z0-9\s\-\.]+$'  # No special chars for injection prevention
        description:
          type: string
          maxLength: 2000
          # Sanitize HTML entities
        price:
          type: number
          format: float
          minimum: 0.01
          maximum: 999999.99
          exclusiveMinimum: 0
        category:
          type: string
          enum: [electronics, clothing, food, furniture, other]
        tags:
          type: array
          items:
            type: string
            maxLength: 50
            pattern: '^[a-zA-Z0-9\-]+$'
          maxItems: 10
          uniqueItems: true
      additionalProperties: false  # CRITICAL: Prevents mass assignment

    Product:
      type: object
      required: [id, name, price]
      properties:
        id:
          type: string
          format: uuid
          readOnly: true
        name:
          type: string
        price:
          type: number
        category:
          type: string
        tags:
          type: array
          items:
            type: string
        createdAt:
          type: string
          format: date-time
          readOnly: true
      additionalProperties: false  # Prevents data leakage of internal fields

    ValidationErrorResponse:
      type: object
      required: [code, message]
      properties:
        code:
          type: string
          enum: [VALIDATION_ERROR]
        message:
          type: string
          maxLength: 500
        details:
          type: array
          items:
            type: object
            properties:
              field:
                type: string
              error:
                type: string
            additionalProperties: false
          maxItems: 50
      additionalProperties: false

  responses:
    ValidationError:
      description: Request validation failed
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/ValidationErrorResponse'
    Unauthorized:
      description: Authentication required

  securitySchemes:
    OAuth2:
      type: oauth2
      flows:
        authorizationCode:
          authorizationUrl: https://auth.example.com/authorize
          tokenUrl: https://auth.example.com/token
          scopes:
            read:products: Read product data
            write:products: Create and update products
            write:orders: Create orders

Server-Side Schema Validation (Python/FastAPI)

"""API Schema Validation Middleware for FastAPI

Enforces strict schema validation on all request and response payloads
to prevent injection, mass assignment, and data leakage attacks.
"""

from fastapi import FastAPI, Request, Response, HTTPException
from fastapi.middleware import Middleware
from pydantic import BaseModel, Field, field_validator, ConfigDict
from typing import List, Optional
import re
import json
from starlette.middleware.base import BaseHTTPMiddleware

app = FastAPI()

# Strict Pydantic models with security constraints
class ProductCreate(BaseModel):
    model_config = ConfigDict(extra='forbid')  # Reject unknown fields (mass assignment)

    name: str = Field(min_length=1, max_length=200, pattern=r'^[a-zA-Z0-9\s\-\.]+$')
    description: Optional[str] = Field(default=None, max_length=2000)
    price: float = Field(gt=0, le=999999.99)
    category: str = Field(pattern=r'^(electronics|clothing|food|furniture|other)$')
    tags: Optional[List[str]] = Field(default=None, max_length=10)

    @field_validator('name')
    @classmethod
    def sanitize_name(cls, v):
        # Prevent XSS via HTML entities
        dangerous_patterns = ['<script', 'javascript:', 'onerror=', 'onload=']
        lower_v = v.lower()
        for pattern in dangerous_patterns:
            if pattern in lower_v:
                raise ValueError(f'Invalid characters in name')
        return v

    @field_validator('description')
    @classmethod
    def sanitize_description(cls, v):
        if v is None:
            return v
        # Strip potential SQL injection patterns
        sql_patterns = [
            r"('|--|;|/\*|\*/|xp_|exec\s|union\s+select|drop\s+table)",
        ]
        for pattern in sql_patterns:
            if re.search(pattern, v, re.IGNORECASE):
                raise ValueError('Invalid content in description')
        return v

    @field_validator('tags')
    @classmethod
    def validate_tags(cls, v):
        if v is None:
            return v
        if len(v) > 10:
            raise ValueError('Maximum 10 tags allowed')
        for tag in v:
            if not re.match(r'^[a-zA-Z0-9\-]+$', tag) or len(tag) > 50:
                raise ValueError(f'Invalid tag format: {tag}')
        return v

class ProductResponse(BaseModel):
    """Response model that explicitly defines allowed output fields.
    Prevents leakage of internal fields like internal_notes, cost_price, etc."""
    model_config = ConfigDict(extra='forbid')

    id: str
    name: str
    price: float
    category: str
    tags: List[str] = []
    created_at: str

class ResponseValidationMiddleware(BaseHTTPMiddleware):
    """Middleware to validate response payloads against schema.
    Prevents accidental data leakage by checking response content."""

    SCHEMA_MAP = {
        '/api/v2/products': {
            'POST': {'response_model': ProductResponse},
            'GET': {'response_model': ProductResponse},
        }
    }

    async def dispatch(self, request: Request, call_next):
        response = await call_next(request)

        # Only validate JSON responses
        content_type = response.headers.get('content-type', '')
        if 'application/json' not in content_type:
            return response

        # Check if endpoint has a registered response schema
        path = request.url.path
        method = request.method

        route_config = self.SCHEMA_MAP.get(path, {}).get(method)
        if not route_config:
            return response

        # Read and validate response body
        body = b""
        async for chunk in response.body_iterator:
            body += chunk

        try:
            data = json.loads(body)
            model = route_config['response_model']
            if isinstance(data, list):
                for item in data:
                    model.model_validate(item)
            else:
                model.model_validate(data)
        except Exception as e:
            # Log the validation failure for security monitoring
            print(f"SECURITY: Response schema violation on {method} {path}: {e}")
            # Return a safe error instead of potentially leaked data
            return Response(
                content=json.dumps({"error": "Internal server error"}),
                status_code=500,
                media_type="application/json"
            )

        return Response(
            content=body,
            status_code=response.status_code,
            headers=dict(response.headers),
            media_type=response.media_type
        )

app.add_middleware(ResponseValidationMiddleware)

@app.post("/api/v2/products", response_model=ProductResponse, status_code=201)
async def create_product(product: ProductCreate):
    # ProductCreate model with extra='forbid' automatically rejects
    # any unknown fields, preventing mass assignment attacks
    # (e.g., attacker trying to set is_admin=true or price=0)
    pass

Cloudflare API Shield Schema Validation

# Upload OpenAPI schema to Cloudflare API Shield
curl -X POST "https://api.cloudflare.com/client/v4/zones/{zone_id}/api_gateway/user_schemas" \
  -H "Authorization: Bearer ${CF_API_TOKEN}" \
  -H "Content-Type: multipart/form-data" \
  -F "file=@openapi.yaml" \
  -F "kind=openapi_v3"

# Enable schema validation with blocking mode
curl -X PATCH "https://api.cloudflare.com/client/v4/zones/{zone_id}/api_gateway/settings/schema_validation" \
  -H "Authorization: Bearer ${CF_API_TOKEN}" \
  -H "Content-Type: application/json" \
  -d '{
    "validation_default_mitigation_action": "block",
    "validation_override_mitigation_action": null
  }'

CI/CD Schema Compliance Testing

# GitHub Actions workflow for schema validation in CI
name: API Schema Security Check
on:
  pull_request:
    paths: ['api/**', 'openapi/**']

jobs:
  schema-security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Validate OpenAPI Schema
        run: |
          npm install -g @stoplight/spectral-cli
          spectral lint openapi.yaml --ruleset .spectral-security.yaml

      - name: Check for Security Anti-Patterns
        run: |
          python3 scripts/schema_security_check.py openapi.yaml

      - name: Run Contract Tests
        run: |
          npm install -g dredd
          dredd openapi.yaml http://localhost:3000 --hookfiles=./test/hooks.js

Security Anti-Patterns to Detect

Anti-PatternRiskFix
additionalProperties: true or missingMass assignmentSet additionalProperties: false
No maxLength on stringsBuffer overflow, DoSAdd appropriate maxLength constraints
No pattern on string fieldsInjection attacksAdd regex patterns to restrict input
No enum for fixed-value fieldsUnexpected input processingUse enum for fields with known values
format: password without TLSCredential exposureEnforce HTTPS-only server URLs
Missing error response schemasInformation leakageDefine all 4xx/5xx response schemas
readOnly fields in request bodyData manipulationEnforce readOnly server-side

References

平台分布

Codex

39.09%
按下载量换算42

Claude

27.66%
按下载量换算30

Cursor

18.68%
按下载量换算20

Gemini CLI

8.79%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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