cheat-on-content
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
Comprehensive k6 load testing skill for API, browser, and scalability testing. Write realistic load scenarios, analyze results, and integrate with CI/CD.
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill k6-load-testing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/k6-load-testingContext preview
The summary Claude sees to decide when to auto-load this skill.
Comprehensive k6 load testing skill for API, browser, and scalability testing. Write realistic load scenarios, analyze results, and integrate with CI/CD.
name: k6-load-testing description: "Comprehensive k6 load testing skill for API, browser, and scalability testing. Write realistic load scenarios, analyze results, and integrate with CI/CD." category: testing risk: safe source: community date_added: "2026-03-13" author: Kairo Official tags: [k6, load-testing, performance, api-testing, ci-cd] tools: [claude, cursor, gemini]
k6 is a modern, developer-centric load testing tool that helps you write and execute performance tests for HTTP APIs, WebSocket endpoints, and browser scenarios. This skill provides comprehensive guidance on writing realistic load tests, configuring test scenarios (smoke, load, stress, spike, soak), analyzing results, and integrating with CI/CD pipelines.
Use this skill when you need to validate system performance, identify bottlenecks, ensure SLA compliance, or catch performance regressions before deployment.
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# macOS brew install k6 # Windows choco install k6 # Linux sudo gpg -k sudo gpg --no-default-keyring --keyring /usr/share/keyrings/k6-archive-keyring.gpg --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys C5AD17C747E3415A3642D57D77C6C491D6AC1D69 echo "deb [signed-by=/usr/share/keyrings/k6-archive-keyring.gpg] https://dl.k6.io/deb stable main" | sudo tee /etc/apt/sources.list.d/k6.list sudo apt-get update sudo apt-get install k6
// simple-test.js
import http from 'k6/http';
import { check, sleep } from 'k6';
export const options = {
vus: 10,
duration: '30s',
};
export default function () {
const res = http.get('https://httpbin.test.k6.io/get');
check(res, {
'status is 200': (r) => r.status === 200,
'response time < 500ms': (r) => r.timings.duration < 500,
});
sleep(1);
}Run with: `k6 run simple-test.js`
---
export const options = {
// Virtual Users (concurrent users)
vus: 100,
// Test duration
duration: '5m',
// Or use stages for ramp-up/ramp-down
stages: [
{ duration: '30s', target: 20 }, // Ramp up
{ duration: '1m', target: 100 }, // Stay at 100
{ duration: '30s', target: 0 }, // Ramp down
],
// Thresholds (SLA)
thresholds: {
http_req_duration: ['p(95)<500'], // 95% requests < 500ms
http_req_failed: ['rate<0.01'], // Error rate < 1%
},
// Load zones (distributed testing)
ext: {
loadimpact: {
name: 'My Load Test',
distribution: {
'amazon:us:ashburn': { weight: 50 },
'amazon:eu: Dublin': { weight: 50 },
},
},
},
};| Type | Use Case | Configuration | |------|----------|---------------| | Smoke Test | Verify basic functionality | Low VUs (1-5), short duration | | Load Test | Normal expected load | Target VUs based on traffic | | Stress Test | Find breaking point | Ramp beyond capacity | | Spike Test | Sudden traffic spikes | Rapid increase/decrease | | Soak Test | Long-term stability | Extended duration |
---
import http from 'k6/http';
import { check, sleep } from 'k6';
export default function () {
// GET request
const getRes = http.get('https://api.example.com/users');
check(getRes, {
'GET succeeded': (r) => r.status === 200,
'has users': (r) => r.json('data.length') > 0,
});
// POST request with JSON body
const postRes = http.post('https://api.example.com/users',
JSON.stringify({ name: 'Test User', email: 'test@example.com' }),
{
headers: {
'Content-Type': 'application/json',
'Authorization': 'Bearer ' + __ENV.API_TOKEN,
},
}
);
check(postRes, {
'POST succeeded': (r) => r.status === 201,
'user created': (r) => r.json('id') !== undefined,
});
sleep(1);
}import http from 'k6/http';
import { check } from 'k6';
export default function () {
// Login and extract token
const loginRes = http.post('https://api.example.com/login',
JSON.stringify({ email: 'test@example.com', password: 'password123' })
);
const token = loginRes.json('access_token');
// Use token in subsequent requests
const headers = {
'Authorization': `Bearer ${token}`,
'Content-Type': 'application/json',
};
const profileRes = http.get('https://api.example.com/profile', {
headers: headers,
});
check(profileRes, {
'profile loaded': (r) => r.status === 200,
});
}import http from 'k6/http';
import { check } from 'k6';
const usernames = ['user1', 'user2', 'user3', 'user4', 'user5'];
export default function () {
// Use shared array with VU-specific index
const username = usernames[__VU % usernames.length];
const res = http.get(`https://api.example.com/users/${username}`);
check(res, {
'user found': (r) => r.status === 200,
});
}---
import { browser } from 'k6/browser';
export const options = {
scenarios: {
browser_test: {
executor: 'constant-vus',
vus: 5,
duration: '30s',
browser: {
type: 'chromium',
},
},
},
};
export default async function () {
const page = await browser.newPage();
try {
await page.goto('https://example.com');
const title = await page.title();
console.log(`Page title: ${title}`);
// Click and interact
await page.click('button[data-testid="submit"]');
// Wait for response
await page.waitMUNDO - THE EMPEROR. Complete AI orchestration system with 1208 skills, 25 capability modules, self-evolving, collective consciousness. GitHub Actions 24/7 automation.
Repo: LiHongwei-cn/lihongwei-cn
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
提议并执行 rubric 或 bucket 升级。两种模式:**完整 rubric bump**(最高风险动作,5 步强制 + 跨模型审核)和 **--bucket-only 轻量重校**(只换 bucket 边界,不动 rubric 公式)。**Phase 2 强制走 cheat-score-blind…
cheat-on-content 的首次 onboarding 与脚手架创建器。统一流程——所有用户都走相同 5 阶段闭环,唯一区别是"发过视频的人"会在 init 时多一步:抓取已有视频建立历史 context(用于后续 cheat-seed 给更贴合的选题、更准的…
从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start…
把老用户的 .cheat-state.json 升级到当前 schema_version。读 migrations/registry.md 算迁移链,按顺序应用每一步迁移文件。幂等:跑两次结果一样。失败停在中间版本不前进。触发词:"迁移"/"升级 state"/"migrate"/"我的 state…
从复盘评论数据派生 / 刷新账号的受众画像,写入 audience.md。这是和 rubric 平行的第二个派生物——rubric 答"怎么打分",persona 答"谁在看"。cheat-seed 选题 / 写稿时读它。**audience.md 含实绩信号,cheat-score-blind…