Token导航 LogoToken导航

Agent Skill · 开发

websocket(websocket 开发)

websocket 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。

websocket 是开发类 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;许可证为 MIT,第三方扫描有提醒项,按安装量在开发类的 21,746 个 Skill 里排第 7,684。

总安装 3,608周安装 155GitHub Stars 38下载 1,265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
许可证
MIT

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:websocket(websocket 开发)
来源仓库:https://github.com/martinholovsky/claude-skills-generator
仓库路径:skills/websocket
安装命令:
npx skills add https://github.com/martinholovsky/claude-skills-generator --skill websocket
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/martinholovsky/claude-skills-generator --skill websocket

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

websocket 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。当前顶部介绍为空,底部简介无内容。websocket 属于开发类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/websocket

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/martinholovsky/claude-skills-generator --skill…;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

websocket 怎么安装?

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

websocket 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。

websocket 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。

websocket 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

websocket 用的人多吗?

公开数据是累计安装 3,608 次,近一周安装 155 次,下载 1,265 次,GitHub 38 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。

websocket 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
websocket

websocket 开发 · 本页

3,60838需要联网MIT有提醒

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

WebSocket Security Skill

File Organization

  • SKILL.md: Core principles, patterns, essential security (this file)
  • references/security-examples.md: CSWSH examples and authentication patterns
  • references/advanced-patterns.md: Connection management, scaling patterns
  • references/threat-model.md: Attack scenarios including CSWSH

Validation Gates

Gate 0.2: PASSED (5+ vulnerabilities documented) - CVE-2024-23898, CVE-2024-26135, CVE-2023-0957


1. Overview

Risk Level: HIGH

Justification: WebSocket connections bypass Same-Origin Policy protections, making them vulnerable to Cross-Site WebSocket Hijacking (CSWSH). Persistent connections require careful authentication, session management, and input validation.

You are an expert in WebSocket security, understanding the unique vulnerabilities of persistent bidirectional connections.

Core Expertise Areas

  • CSWSH (Cross-Site WebSocket Hijacking) prevention
  • Origin header validation and token-based authentication
  • Message validation and per-message authorization
  • Rate limiting and connection lifecycle security

2. Core Responsibilities

Fundamental Principles

  1. TDD First: Write tests before implementation - test security boundaries, connection lifecycle
  2. Performance Aware: Optimize for low latency (<50ms), connection pooling, backpressure
  3. Validate Origin: Always check Origin header against explicit allowlist
  4. Authenticate First: Verify identity before accepting messages
  5. Authorize Each Action: Don't assume connection equals unlimited access
  6. Validate All Messages: Treat WebSocket messages as untrusted input
  7. Limit Resources: Rate limit messages, timeout idle connections

Security Decision Framework

SituationApproach
New connectionValidate Origin, require authentication token
Each messageValidate format, check authorization for action
Sensitive operationsRe-verify session, log action
Idle connectionTimeout after inactivity period
Error conditionClose connection, log details

3. Technical Foundation

Version Recommendations

ComponentVersionNotes
FastAPI/Starlette0.115+WebSocket support
websockets12.0+Python WebSocket library

Security Configuration

WEBSOCKET_CONFIG = {
    "max_message_size": 1024 * 1024,  # 1MB
    "max_connections_per_ip": 10,
    "idle_timeout_seconds": 300,
    "messages_per_minute": 60,
}

# NEVER use "*" for origins
ALLOWED_ORIGINS = ["https://app.example.com", "https://admin.example.com"]

4. Implementation Workflow (TDD)

Step 1: Write Failing Test First

import pytest
from httpx import AsyncClient, ASGITransport
from fastapi.testclient import TestClient

# Test security boundaries first
@pytest.mark.asyncio
async def test_origin_validation_rejects_invalid():
    """CSWSH prevention - must reject invalid origins."""
    async with AsyncClient(
        transport=ASGITransport(app=app),
        base_url="http://test"
    ) as client:
        # This should fail until origin validation is implemented
        with pytest.raises(Exception):
            async with client.websocket_connect(
                "/ws?token=valid",
                headers={"Origin": "https://evil.com"}
            ):
                pass

@pytest.mark.asyncio
async def test_authentication_required():
    """Must reject connections without valid token."""
    with TestClient(app) as client:
        with pytest.raises(Exception):
            with client.websocket_connect("/ws") as ws:
                pass

@pytest.mark.asyncio
async def test_message_authorization():
    """Each message action must be authorized."""
    with TestClient(app) as client:
        with client.websocket_connect(
            "/ws?token=readonly_user",
            headers={"Origin": "https://app.example.com"}
        ) as ws:
            ws.send_json({"action": "delete", "id": "123"})
            response = ws.receive_json()
            assert response.get("error") == "Permission denied"

Step 2: Implement Minimum to Pass

# Implement only what's needed to pass the test
async def validate_origin(websocket: WebSocket) -> bool:
    origin = websocket.headers.get("origin")
    if not origin or origin not in ALLOWED_ORIGINS:
        await websocket.close(code=4003, reason="Invalid origin")
        return False
    return True

Step 3: Refactor and Verify

# Run all WebSocket tests
pytest tests/websocket/ -v --asyncio-mode=auto

# Check for security issues
bandit -r src/websocket/

# Verify no regressions
pytest tests/ -v

5. Performance Patterns

Pattern 1: Connection Pooling

# BAD - Create new connection for each request
ws = await create_connection(user_id)  # Expensive!

# GOOD - Reuse connections from pool
class ConnectionPool:
    def __init__(self, max_size: int = 100):
        self.connections: dict[str, WebSocket] = {}

    async def get_or_create(self, user_id: str) -> WebSocket:
        if user_id not in self.connections:
            self.connections[user_id] = await create_connection(user_id)
        return self.connections[user_id]

Pattern 2: Message Batching

# BAD - Send messages one at a time
for item in items:
    await websocket.send_json({"type": "item", "data": item})

# GOOD - Batch messages to reduce overhead
await websocket.send_json({"type": "batch", "data": items[:50]})

Pattern 3: Binary Protocols

# BAD - JSON for high-frequency data (~80 bytes)
await websocket.send_json({"x": 123.456, "y": 789.012, "z": 456.789})

# GOOD - Binary format (20 bytes)
import struct
await websocket.send_bytes(struct.pack('!3f', 123.456, 789.012, 456.789))

Pattern 4: Heartbeat Optimization

# BAD - Fixed frequent heartbeats
HEARTBEAT_INTERVAL = 5  # Every 5 seconds

# GOOD - Adaptive heartbeats based on activity
interval = 60 if (time() - last_activity) < 60 else 30

Pattern 5: Backpressure Handling

# BAD - Blocks on slow clients
await ws.send_json(message)

# GOOD - Timeout and bounded queue
from collections import deque
queue = deque(maxlen=100)  # Drop oldest when full
try:
    await asyncio.wait_for(ws.send_json(message), timeout=1.0)
except asyncio.TimeoutError:
    pass  # Client too slow

6. Implementation Patterns

Pattern 1: Origin Validation (Critical for CSWSH Prevention)

from fastapi import WebSocket

async def validate_origin(websocket: WebSocket) -> bool:
    """Validate WebSocket origin against allowlist."""
    origin = websocket.headers.get("origin")
    if not origin or origin not in ALLOWED_ORIGINS:
        await websocket.close(code=4003, reason="Invalid origin")
        return False
    return True

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    if not await validate_origin(websocket):
        return
    await websocket.accept()

Pattern 2: Token-Based Authentication

from jose import jwt, JWTError

async def authenticate_websocket(websocket: WebSocket) -> User | None:
    """Authenticate via token (not cookies - vulnerable to CSWSH)."""
    token = websocket.query_params.get("token")
    if not token:
        await websocket.close(code=4001, reason="Authentication required")
        return None
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=["HS256"])
        user = await user_service.get(payload.get("sub"))
        if not user:
            await websocket.close(code=4001, reason="User not found")
            return None
        return user
    except JWTError:
        await websocket.close(code=4001, reason="Invalid token")
        return None

Pattern 3: Per-Message Authorization

from pydantic import BaseModel, field_validator

class WebSocketMessage(BaseModel):
    action: str
    data: dict

    @field_validator('action')
    @classmethod
    def validate_action(cls, v):
        if v not in {'subscribe', 'unsubscribe', 'send', 'query'}:
            raise ValueError(f'Invalid action: {v}')
        return v

async def handle_message(websocket: WebSocket, user: User, raw_data: dict):
    try:
        message = WebSocketMessage(**raw_data)
    except ValueError:
        await websocket.send_json({"error": "Invalid message format"})
        return

    if not user.has_permission(f"ws:{message.action}"):
        await websocket.send_json({"error": "Permission denied"})
        return

    result = await handlers[message.action](user, message.data)
    await websocket.send_json(result)

Pattern 4: Connection Manager with Rate Limiting

from collections import defaultdict
from time import time

class SecureConnectionManager:
    def __init__(self):
        self.connections: dict[str, WebSocket] = {}
        self.message_counts: dict[str, list[float]] = defaultdict(list)
        self.connections_per_ip: dict[str, int] = defaultdict(int)

    async def connect(self, websocket: WebSocket, user_id: str, ip: str) -> bool:
        if self.connections_per_ip[ip] >= WEBSOCKET_CONFIG["max_connections_per_ip"]:
            await websocket.close(code=4029, reason="Too many connections")
            return False
        await websocket.accept()
        self.connections[user_id] = websocket
        self.connections_per_ip[ip] += 1
        return True

    def check_rate_limit(self, user_id: str) -> bool:
        now = time()
        self.message_counts[user_id] = [
            ts for ts in self.message_counts[user_id] if ts > now - 60
        ]
        if len(self.message_counts[user_id]) >= WEBSOCKET_CONFIG["messages_per_minute"]:
            return False
        self.message_counts[user_id].append(now)
        return True

Pattern 5: Complete Secure Handler

@app.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
    if not await validate_origin(websocket):
        return
    user = await authenticate_websocket(websocket)
    if not user:
        return

    ip = websocket.client.host
    if not await manager.connect(websocket, user.id, ip):
        return

    try:
        while True:
            raw = await asyncio.wait_for(
                websocket.receive_json(),
                timeout=WEBSOCKET_CONFIG["idle_timeout_seconds"]
            )
            if not manager.check_rate_limit(user.id):
                await websocket.send_json({"error": "Rate limited"})
                continue
            await handle_message(websocket, user, raw)
    except (WebSocketDisconnect, asyncio.TimeoutError):
        pass
    finally:
        manager.disconnect(user.id, ip)

7. Security Standards

Domain Vulnerability Landscape

CVE IDSeverityDescriptionMitigation
CVE-2024-23898HIGHJenkins CSWSH - command executionValidate Origin
CVE-2024-26135HIGHMeshCentral CSWSH - config leakOrigin + SameSite
CVE-2023-0957CRITICALGitpod CSWSH - account takeoverOrigin + token auth

OWASP Top 10 Mapping

CategoryMitigations
A01 Access ControlOrigin validation, per-message authz
A02 Crypto FailuresTLS/WSS only, signed tokens
A03 InjectionValidate all message content
A07 Auth FailuresToken auth, session validation

CSWSH Prevention Summary

async def secure_websocket_handler(websocket: WebSocket):
    # 1. VALIDATE ORIGIN (Critical)
    if websocket.headers.get("origin") not in ALLOWED_ORIGINS:
        await websocket.close(code=4003)
        return
    # 2. AUTHENTICATE with token (not cookies)
    user = await validate_token(websocket.query_params.get("token"))
    if not user:
        await websocket.close(code=4001)
        return
    # 3. Accept only after validation
    await websocket.accept()
    # 4. AUTHORIZE each message, 5. RATE LIMIT, 6. TIMEOUT idle

8. Common Mistakes & Anti-Patterns

No Origin Validation

# NEVER - vulnerable to CSWSH
@app.websocket("/ws")
async def vulnerable(websocket: WebSocket):
    await websocket.accept()  # Accepts any origin!

# ALWAYS - validate origin first
if websocket.headers.get("origin") not in ALLOWED_ORIGINS:
    await websocket.close(code=4003)
    return

Cookie-Only Authentication

# NEVER - cookies sent automatically in CSWSH attacks
session = websocket.cookies.get("session")

# ALWAYS - require explicit token parameter
token = websocket.query_params.get("token")

No Per-Message Authorization

# NEVER - assumes connection = full access
if data["action"] == "delete":
    await delete_resource(data["id"])

# ALWAYS - check permission for each action
if not user.has_permission("delete"):
    return {"error": "Permission denied"}

No Input Validation

# NEVER - trust WebSocket messages
await db.execute(f"SELECT * FROM {data['table']}")  # SQL injection!

# ALWAYS - validate with Pydantic
message = WebSocketMessage(**data)

9. Pre-Implementation Checklist

Phase 1: Before Writing Code

  • Write failing tests for security boundaries (CSWSH, auth, authz)
  • Write failing tests for connection lifecycle (connect, disconnect, timeout)
  • Write failing tests for message validation and rate limiting
  • Review threat model in references/threat-model.md
  • Identify performance requirements (latency, throughput, connections)

Phase 2: During Implementation

  • Origin validation against explicit allowlist
  • Token-based authentication (not cookie-only)
  • Per-message authorization checks
  • Rate limiting and idle timeout implemented
  • All messages validated with Pydantic
  • Connection pooling for efficiency
  • Backpressure handling for slow clients

Phase 3: Before Committing

  • All security tests pass: pytest tests/websocket/ -v
  • No security issues: bandit -r src/websocket/
  • WSS (TLS) enforced in production config
  • CSWSH test coverage verified
  • Performance benchmarks meet targets (<50ms latency)
  • No regressions: pytest tests/ -v

10. Summary

Security Goals:

  • CSWSH-Resistant: Origin validation, token auth
  • Properly Authorized: Per-message permission checks
  • Rate Limited: Prevent message flooding
  • Validated: All messages treated as untrusted

Critical Reminders: ALWAYS validate Origin, use token auth (not cookies), authorize EACH message, use WSS in production.

平台分布

Claude Code

28.43%
按下载量换算360

Antigravity

21.26%
按下载量换算269

Codex

16.9%
按下载量换算214

OpenCode

13.93%
按下载量换算176

Gemini CLI

8.23%
按下载量换算104

Cursor

3.22%
按下载量换算41

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

继续浏览同类 Skills