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race-conditions竞争条件

Agent Skill

race-conditions 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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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周安装

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GitHub Stars

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下载量

264
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

3

许可证

MIT

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:race-conditions(竞争条件)
来源仓库:https://github.com/yanko-belov/code-craft
仓库路径:skills/race-conditions
安装命令:
npx skills add https://github.com/yanko-belov/code-craft --skill race-conditions
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

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skills.shnpx skills
npx skills add https://github.com/yanko-belov/code-craft --skill race-conditions

简介

用于查找、检索和筛选相关信息,支持基于关键词或任务场景快速定位候选结果。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中需要线索匹配时使用。
  • 通过 GitHub 安装,使用 npx skills add 命令添加指定仓库的技能。
  • 安装前需确认权限范围、维护状态,注意是否会触发联网、命令执行或文件读写操作。
  • race-conditions 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Race Conditions

Overview

When outcome depends on timing, you have a race. Races are bugs waiting to happen.

Race conditions occur when correctness depends on the relative timing of events. They're insidious because they work most of the time, fail randomly, and are nearly impossible to reproduce.

When to Use

  • Multiple async operations access shared state
  • Database read-then-write patterns
  • Concurrent API requests modify same resource
  • "Works in development, fails in production"
  • Intermittent bugs that can't be reproduced

The Iron Rule

NEVER read-then-write without atomicity guarantees.

No exceptions:

  • Not for "it's fast, timing won't matter"
  • Not for "only one user at a time"
  • Not for "we'll fix it if it breaks"
  • Not for "it works in testing"

If timing can affect outcome, you have a race condition.

Detection: The TOCTOU Pattern

Time-Of-Check to Time-Of-Use: checking something, then acting on it.

// ❌ VIOLATION: Classic race condition
async function withdrawMoney(accountId: string, amount: number): Promise<void> {
  // Time-of-check
  const account = await db.accounts.findById(accountId);
  if (account.balance >= amount) {
    // Time-of-use (gap where another transaction can happen!)
    await db.accounts.update(accountId, {
      balance: account.balance - amount  // Uses stale value!
    });
  }
}

// Two simultaneous $80 withdrawals from $100 account:
// T1: Reads balance = $100 ✓
// T2: Reads balance = $100 ✓  (race!)
// T1: balance >= 80? Yes. Update to $20
// T2: balance >= 80? Yes. Update to $20  (should have been denied!)
// Result: Two $80 withdrawals, final balance $20 (should be overdraft error)

Correct Patterns

1. Atomic Operations

// ✅ CORRECT: Atomic update with condition
async function withdrawMoney(accountId: string, amount: number): Promise<boolean> {
  const result = await db.accounts.updateOne(
    {
      _id: accountId,
      balance: { $gte: amount }  // Check AND update atomically
    },
    {
      $inc: { balance: -amount }
    }
  );

  if (result.modifiedCount === 0) {
    throw new InsufficientFundsError(accountId, amount);
  }

  return true;
}

2. Database Transactions

// ✅ CORRECT: Transaction with proper isolation
async function transferMoney(
  fromId: string,
  toId: string,
  amount: number
): Promise<void> {
  await db.transaction(async (tx) => {
    // Lock rows with FOR UPDATE
    const from = await tx.accounts
      .findById(fromId)
      .forUpdate();  // Locks row until commit

    const to = await tx.accounts
      .findById(toId)
      .forUpdate();

    if (from.balance < amount) {
      throw new InsufficientFundsError(fromId, amount);
    }

    await tx.accounts.update(fromId, { balance: from.balance - amount });
    await tx.accounts.update(toId, { balance: to.balance + amount });

    // Commit releases locks
  });
}

3. Optimistic Locking

// ✅ CORRECT: Optimistic locking with version
async function updateDocument(
  id: string,
  updates: Partial<Document>
): Promise<Document> {
  const maxRetries = 3;

  for (let attempt = 0; attempt < maxRetries; attempt++) {
    const doc = await db.documents.findById(id);

    const result = await db.documents.updateOne(
      {
        _id: id,
        version: doc.version  // Only update if version matches
      },
      {
        $set: updates,
        $inc: { version: 1 }  // Increment version
      }
    );

    if (result.modifiedCount > 0) {
      return { ...doc, ...updates, version: doc.version + 1 };
    }

    // Version mismatch - someone else updated, retry
    await sleep(Math.random() * 100);  // Jitter
  }

  throw new ConcurrentModificationError(id);
}

4. Distributed Locks

// ✅ CORRECT: Distributed lock for complex operations
async function processOrder(orderId: string): Promise<void> {
  const lockKey = `order:${orderId}:lock`;
  const lockTTL = 30000; // 30 seconds

  const lock = await redis.acquireLock(lockKey, lockTTL);
  if (!lock) {
    throw new OrderAlreadyProcessingError(orderId);
  }

  try {
    // Safe - only one process can be here for this order
    await doExpensiveOrderProcessing(orderId);
  } finally {
    await redis.releaseLock(lockKey, lock);
  }
}

5. Idempotency Keys

// ✅ CORRECT: Idempotency prevents duplicate processing
async function createPayment(
  idempotencyKey: string,
  data: PaymentData
): Promise<Payment> {
  // Check if already processed
  const existing = await db.payments.findByIdempotencyKey(idempotencyKey);
  if (existing) {
    return existing;  // Return previous result
  }

  // Try to claim the idempotency key atomically
  try {
    await db.idempotencyKeys.insert({
      key: idempotencyKey,
      status: 'processing',
      createdAt: new Date(),
    });
  } catch (error) {
    if (isDuplicateKeyError(error)) {
      // Another request claimed it - fetch and return
      const existing = await db.payments.findByIdempotencyKey(idempotencyKey);
      if (existing) return existing;
      throw new PaymentProcessingError('Payment in progress');
    }
    throw error;
  }

  // Safe to process - we own the idempotency key
  const payment = await processPayment(data);

  await db.idempotencyKeys.update(idempotencyKey, {
    status: 'completed',
    result: payment.id,
  });

  return payment;
}

Common Race Condition Patterns

PatternProblemSolution
Check-then-actState changes between check and actAtomic check-and-act
Read-modify-writeValue changes after readAtomic update or lock
Lazy initializationMultiple threads initializeDouble-checked locking or atomic init
Counter incrementLost updatesAtomic increment
First-one-winsMultiple claim "first"Atomic claim with unique constraint

Language-Specific Patterns

JavaScript/Node.js

// ❌ VIOLATION: Shared state in closure
let requestCount = 0;
async function handleRequest() {
  requestCount++;  // Race! Read-modify-write is NOT atomic
  // ...
}

// ✅ CORRECT: Atomic counter
import { createClient } from 'redis';
const redis = createClient();

async function handleRequest() {
  const count = await redis.incr('request_count');  // Atomic
  // ...
}

Python

# ❌ VIOLATION: Check-then-act
def get_or_create(key: str, factory: Callable) -> Any:
    if key not in cache:  # Check
        cache[key] = factory()  # Act - race!
    return cache[key]

# ✅ CORRECT: Atomic with lock
from threading import Lock
lock = Lock()

def get_or_create(key: str, factory: Callable) -> Any:
    with lock:
        if key not in cache:
            cache[key] = factory()
        return cache[key]

Pressure Resistance Protocol

1. "It's Fast, Timing Won't Matter"

Pressure: "The operation takes microseconds"

Response: Production load creates overlap. Under load, "fast" operations overlap frequently. Race conditions scale with traffic.

Action: Use atomic operations. Speed doesn't prevent races.

2. "Only One User at a Time"

Pressure: "Low traffic, won't have concurrent requests"

Response: Users double-click. Tabs refresh. Bots hammer. Mobile retries on timeout. "Low traffic" has bursts.

Action: Design for concurrency even if you don't expect it.

3. "We'll Fix It If It Breaks"

Pressure: "Ship now, fix later"

Response: Race conditions are nearly impossible to reproduce. You'll spend weeks debugging "random" failures.

Action: Build it correctly now. Cheaper than debugging later.

4. "It Works in Testing"

Pressure: "All tests pass"

Response: Tests run sequentially. Production runs concurrently. Race conditions hide in serial execution.

Action: Write concurrent tests. Load test. Assume races exist.

Red Flags - STOP and Reconsider

If you notice ANY of these patterns, you likely have a race:

  • if (condition) {update based on condition}
  • read(); compute(); write(computed);
  • check availability; book;
  • get count; increment; save count;
  • Global or shared mutable state
  • "Works most of the time"
  • "Can't reproduce in development"
  • Timeouts that "fix" intermittent bugs

All of these mean: Add atomicity guarantees.

Testing for Race Conditions

// Concurrent test to expose races
describe('withdraw', () => {
  it('handles concurrent withdrawals correctly', async () => {
    await db.accounts.create({ id: 'test', balance: 100 });

    // Simulate 10 concurrent $20 withdrawals
    const withdrawals = Array(10).fill(null).map(() =>
      withdrawMoney('test', 20).catch(() => 'failed')
    );

    const results = await Promise.all(withdrawals);
    const successful = results.filter(r => r !== 'failed').length;

    // Only 5 should succeed (5 × $20 = $100)
    expect(successful).toBe(5);

    const account = await db.accounts.findById('test');
    expect(account.balance).toBe(0);
  });
});

Common Rationalizations (All Invalid)

ExcuseReality
"It's fast enough"Fast operations still overlap under load.
"Low traffic"Retries, double-clicks, bots create concurrency.
"Works in dev"Dev is serial. Prod is parallel.
"Fix when it breaks"Race bugs are unfindable. Fix now.
"Just add a sleep"Sleeps don't fix races, just hide them.
"Users won't do that"Users do everything you don't expect.

Quick Reference

ScenarioSolution
Balance check before updateAtomic conditional update
Increment counterAtomic increment (Redis INCR, SQL += 1)
Complex multi-step operationDatabase transaction with locks
Cross-service operationDistributed lock
Duplicate request preventionIdempotency key
Version conflictsOptimistic locking

The Bottom Line

If correctness depends on timing, you have a bug.

Read-then-write is a race. Check-then-act is a race. Any gap between observing state and acting on it is a race. Use atomic operations, transactions, locks, or idempotency keys. Never assume "it's fast enough" or "traffic is low."

适合场景

01

用户想查找某类 Agent Skill 时

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

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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。

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安装前确认

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