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Agent Skill · 研究检索

performance-budget-enforcer(绩效预算执行者)

performance-budget-enforcer 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。

performance-budget-enforcer 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,权限为接触敏感数据;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 73,674 个 Skill 里排第 64,959。

总安装 291周安装 12GitHub Stars 3下载 95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
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:performance-budget-enforcer(绩效预算执行者)
来源仓库:https://github.com/hopeoverture/worldbuilding-app-skills
仓库路径:skills/performance-budget-enforcer
安装命令:
npx skills add https://github.com/hopeoverture/worldbuilding-app-skills --skill performance-budget-enforcer
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/hopeoverture/worldbuilding-app-skills --skill performance-budget-enforcer

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。

用于根据关键词或线索快速查找、检索和筛选相关信息。适用于需要从大量数据中定位候选结果的研究或开发场景。通过 npx skills add 命令从指定 GitHub 仓库安装。支持 Codex、Claude、Cursor、Gemini CLI,安装方式为 github。

performance-budget-enforcer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/performance-budget-enforcer

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/hopeoverture/worldbuilding-app-skills --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

    它需要接触敏感数据,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

performance-budget-enforcer 怎么安装?

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

performance-budget-enforcer 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。

performance-budget-enforcer 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

performance-budget-enforcer 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。

performance-budget-enforcer 用的人多吗?

公开数据是累计安装 291 次,近一周安装 12 次,下载 95 次,GitHub 3 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。

performance-budget-enforcer 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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 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

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 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
performance-budget-enforcer

绩效预算执行者 · 本页

2913接触敏感数据未明确通过

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

Performance Budget Enforcer

Implement automated performance monitoring and budget enforcement to prevent performance regressions in worldbuilding applications.

Overview

To enforce performance budgets:

  1. Define performance budgets for key metrics (bundle size, Lighthouse scores, Web Vitals)
  2. Set up automated monitoring in CI/CD pipeline
  3. Configure alerts for threshold violations
  4. Generate performance reports and trends
  5. Block deployments that exceed budgets

Performance Metrics

JavaScript Bundle Size

To monitor bundle sizes:

  • Initial Bundle: First-load JS (target: <200KB)
  • Route Bundles: Per-page JS (target: <50KB per route)
  • Total Bundle: All JS combined (target: <500KB)
  • Vendor Bundle: Third-party libraries (target: <150KB)

Lighthouse Scores

To track Lighthouse metrics:

  • Performance: Overall performance score (target: >90)
  • Accessibility: A11y compliance (target: >90)
  • Best Practices: Web standards compliance (target: >90)
  • SEO: Search engine optimization (target: >90)

Core Web Vitals

To measure user experience:

  • LCP (Largest Contentful Paint): <2.5s
  • FID (First Input Delay): <100ms
  • CLS (Cumulative Layout Shift): <0.1
  • TTFB (Time to First Byte): <600ms
  • FCP (First Contentful Paint): <1.8s

Consult references/performance-targets.md for detailed target definitions and industry benchmarks.

Budget Configuration

Define Budgets

Create performance-budget.json:

{
  "bundles": {
    "maxInitialBundle": 204800,
    "maxRouteBundle": 51200,
    "maxTotalBundle": 512000,
    "maxVendorBundle": 153600
  },
  "lighthouse": {
    "performance": 90,
    "accessibility": 90,
    "bestPractices": 90,
    "seo": 90
  },
  "webVitals": {
    "lcp": 2500,
    "fid": 100,
    "cls": 0.1,
    "ttfb": 600,
    "fcp": 1800
  },
  "assets": {
    "maxImageSize": 102400,
    "maxFontSize": 51200,
    "maxCssSize": 51200
  }
}

Use scripts/generate_budget.py to create initial budget configuration based on current metrics.

Budget Levels

Define severity levels:

  • Error: Block deployment (>20% over budget)
  • Warning: Alert but allow (10-20% over budget)
  • Info: Track but continue (<10% over budget)

CI/CD Integration

GitHub Actions Setup

To add performance checks to CI:

name: Performance Budget

on:
  pull_request:
    branches: [main, master]

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

      - name: Setup Node.js
        uses: actions/setup-node@v4
        with:
          node-version: '20'

      - name: Install dependencies
        run: npm ci

      - name: Build application
        run: npm run build

      - name: Analyze bundle size
        run: npx @next/bundle-analyzer

      - name: Run Lighthouse CI
        run: |
          npm install -g @lhci/cli
          lhci autorun

      - name: Check performance budgets
        run: python scripts/check_budgets.py

      - name: Comment results on PR
        uses: actions/github-script@v7
        with:
          script: |
            const results = require('./performance-results.json');
            // Comment logic here

Use assets/github-workflow.yml for complete workflow template.

Lighthouse CI Configuration

Create lighthouserc.json:

{
  "ci": {
    "collect": {
      "startServerCommand": "npm run start",
      "url": ["http://localhost:3000", "http://localhost:3000/entities"],
      "numberOfRuns": 3
    },
    "assert": {
      "preset": "lighthouse:recommended",
      "assertions": {
        "categories:performance": ["error", { "minScore": 0.9 }],
        "categories:accessibility": ["error", { "minScore": 0.9 }],
        "first-contentful-paint": ["error", { "maxNumericValue": 1800 }],
        "largest-contentful-paint": ["error", { "maxNumericValue": 2500 }],
        "cumulative-layout-shift": ["error", { "maxNumericValue": 0.1 }]
      }
    },
    "upload": {
      "target": "temporary-public-storage"
    }
  }
}

Reference assets/lighthouserc.json for complete configuration.

Bundle Analysis

Next.js Bundle Analyzer

To analyze bundle composition:

# Install analyzer
npm install --save-dev @next/bundle-analyzer

# Add to next.config.js
const withBundleAnalyzer = require('@next/bundle-analyzer')({
  enabled: process.env.ANALYZE === 'true',
});

module.exports = withBundleAnalyzer({
  // Next.js config
});

# Run analysis
ANALYZE=true npm run build

Size Tracking

Use scripts/track_bundle_size.py to track bundle size over time:

python scripts/track_bundle_size.py --record

Store results in performance-history/bundle-sizes.json for trend analysis.

Automated Alerts

Threshold Violations

To configure alerts:

// scripts/check_budgets.ts
interface BudgetCheck {
  metric: string;
  current: number;
  budget: number;
  status: 'pass' | 'warning' | 'error';
  percentOver: number;
}

function checkBudget(current: number, budget: number): BudgetCheck['status'] {
  const percentOver = ((current - budget) / budget) * 100;

  if (percentOver > 20) return 'error';
  if (percentOver > 10) return 'warning';
  return 'pass';
}

Notification Channels

To send alerts:

  • GitHub PR Comments: Automated comments with performance report
  • Slack: Webhook notifications for violations
  • Email: Digest of performance trends
  • Build Status: Fail builds on error-level violations

Use scripts/send_alerts.py to integrate notification channels.

Performance Monitoring

Real User Monitoring (RUM)

To track real user metrics:

// lib/web-vitals.ts
import { onCLS, onFID, onLCP, onFCP, onTTFB } from 'web-vitals';

export function reportWebVitals() {
  onCLS((metric) => sendToAnalytics(metric));
  onFID((metric) => sendToAnalytics(metric));
  onLCP((metric) => sendToAnalytics(metric));
  onFCP((metric) => sendToAnalytics(metric));
  onTTFB((metric) => sendToAnalytics(metric));
}

function sendToAnalytics(metric: Metric) {
  // Send to analytics service
  fetch('/api/analytics', {
    method: 'POST',
    body: JSON.stringify(metric),
  });
}

Enable in app/layout.tsx:

import { reportWebVitals } from '@/lib/web-vitals';

export default function RootLayout({ children }: { children: ReactNode }) {
  useEffect(() => {
    reportWebVitals();
  }, []);

  return <html>{children}</html>;
}

Synthetic Monitoring

To run scheduled Lighthouse audits:

# .github/workflows/scheduled-performance.yml
name: Scheduled Performance Audit

on:
  schedule:
    - cron: '0 0 * * *' # Daily at midnight

jobs:
  audit:
    runs-on: ubuntu-latest
    steps:
      - name: Run Lighthouse
        run: lhci autorun --config=lighthouserc.json

      - name: Store results
        run: python scripts/store_performance_data.py

Performance Reports

PR Comments

To generate PR comments with results:

## Performance Report

### Bundle Size

- Initial Bundle: 185KB ([OK] under 200KB budget)
- Total Bundle: 480KB ([OK] under 500KB budget)

### Lighthouse Scores

- Performance: 92/100 ([OK] meets 90 target)
- Accessibility: 95/100 ([OK] meets 90 target)
- Best Practices: 88/100 ([WARN] below 90 target)

### Core Web Vitals

- LCP: 2.1s ([OK] under 2.5s)
- FID: 85ms ([OK] under 100ms)
- CLS: 0.05 ([OK] under 0.1)

### Bundle Comparison

| Route            | Current | Previous | Change  |
| ---------------- | ------- | -------- | ------- |
| /                | 185KB   | 180KB    | +5KB    |
| /entities        | 45KB    | 45KB     | No change |
| /entities/[id]   | 38KB    | 40KB     | -2KB [OK] |

[View detailed report](https://lighthouse-report-url)

Use scripts/generate_pr_comment.py to create formatted reports.

Trend Analysis

To visualize performance trends:

python scripts/generate_trends.py --days 30 --output performance-trends.html

Generate charts showing:

  • Bundle size over time
  • Lighthouse scores history
  • Web Vitals percentiles
  • Performance budget compliance rate

Reference assets/trend-visualization.html for dashboard template.

Optimization Strategies

Bundle Size Reduction

To reduce bundle sizes:

  1. Code Splitting: Split large components into separate chunks
  2. Tree Shaking: Remove unused code with proper imports
  3. Dynamic Imports: Load components on demand
  4. Lazy Loading: Defer non-critical resources
  5. Compression: Enable gzip/brotli compression
  6. Minification: Ensure production builds are minified

Image Optimization

To optimize images:

import Image from 'next/image';

<Image
  src="/entity-map.png"
  alt="World Map"
  width={800}
  height={600}
  quality={75}
  loading="lazy"
  placeholder="blur"
/>

Font Optimization

To optimize fonts:

// app/layout.tsx
import { Inter } from 'next/font/google';

const inter = Inter({
  subsets: ['latin'],
  display: 'swap',
  variable: '--font-inter',
});

export default function Layout({ children }: { children: ReactNode }) {
  return (
    <html className={inter.variable}>
      <body>{children}</body>
    </html>
  );
}

Third-Party Scripts

To optimize third-party scripts:

import Script from 'next/script';

<Script
  src="https://analytics.example.com/script.js"
  strategy="lazyOnload"
/>

Consult references/optimization-techniques.md for comprehensive optimization guide.

Best Practices

  1. Set Realistic Budgets: Base on current metrics, improve gradually
  2. Monitor Continuously: Track metrics on every deployment
  3. Act on Violations: Investigate and fix budget overages promptly
  4. Educate Team: Share performance impact of code changes
  5. Review Regularly: Adjust budgets as app evolves
  6. Prioritize UX: Focus on metrics that impact user experience
  7. Test Real Devices: Verify performance on target devices

Troubleshooting

Common issues:

  • Fluctuating Scores: Run multiple Lighthouse audits, use median scores
  • CI vs Local: Ensure CI environment matches production setup
  • False Positives: Adjust budgets for legitimate growth
  • Missing Metrics: Verify analytics integration and data collection
  • Slow CI: Cache dependencies and optimize build process
  • Bundle Size Spikes: Use bundle analyzer to identify culprits

平台分布

Codex

33.59%
按下载量换算32

Claude

31.95%
按下载量换算30

Cursor

18.39%
按下载量换算17

Gemini CLI

9.59%
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

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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