Agent Agent验证
- 作者仓库星标 5,841
- 作者仓库 lightdash
Agent Harness Quick Start
You are running in an isolated Lightdash development environment managed by the agent-harness. This guide helps you discover your environment and get productive immediately.
Step 1: Discover Your Agent ID
Your agent ID determines all your ports and resources. Find it by checking for the generated environment file:
ls -la .env.agent.* 2>/dev/null | head -1
This will show something like .env.agent.1 — the number is your agent ID.
Alternative: Check which PM2 processes are running:
pnpm exec pm2 jlist 2>/dev/null | node -e "
const data = JSON.parse(require('fs').readFileSync(0, 'utf8'));
const agents = [...new Set(data.map(p => p.name.match(/^agent-(\d+)-/)?.[1]).filter(Boolean))];
if (agents.length === 1) console.log('AGENT_ID=' + agents[0]);
else if (agents.length > 1) console.log('Multiple agents running: ' + agents.join(', '));
else console.log('No agent processes found');
"
Step 2: Know Your Ports
Once you have your agent ID, your ports are deterministic:
| Service | Formula | Agent 1 | Agent 2 | Agent 3 |
|---|---|---|---|---|
| Frontend (Vite) | 3000 + (ID × 10) | 3010 | 3020 | 3030 |
| Backend API | 8000 + (ID × 10) | 8010 | 8020 | 8030 |
| Node Debugger | 9200 + (ID × 10) | 9210 | 9220 | 9230 |
Shared infrastructure (same for all agents):
- PostgreSQL:
localhost:15432 - MinIO S3:
localhost:19000 - Headless Browser:
localhost:13001 - Mailpit SMTP:
localhost:11025 - Mailpit Web UI:
localhost:18025
Get your URLs with:
./agent-harness/agent-cli.sh <AGENT_ID> url
Step 3: Use the CLI
All stack management goes through agent-cli.sh:
# Replace <ID> with your agent ID (1-5)
# Check process status (uptime, restarts, memory)
./agent-harness/agent-cli.sh <ID> status
# View logs (services: api, frontend, common-watch, warehouses-watch)
./agent-harness/agent-cli.sh <ID> logs api
./agent-harness/agent-cli.sh <ID> logs frontend
# Check API health
./agent-harness/agent-cli.sh <ID> health
# Restart services after code changes
./agent-harness/agent-cli.sh <ID> restart api
./agent-harness/agent-cli.sh <ID> restart frontend
# Run SQL queries against your database
./agent-harness/agent-cli.sh <ID> psql "SELECT * FROM users LIMIT 5;"
# View slow queries (useful for debugging)
./agent-harness/agent-cli.sh <ID> slow-queries
# Run arbitrary command with your agent's environment loaded
./agent-harness/agent-cli.sh <ID> exec pnpm -F backend test:dev:nowatch
Step 4: Verification Workflow
Run verification after every code change:
# Quick verification (typecheck + lint + unit tests for changed files)
./agent-harness/verify.sh <ID>
# Full verification (complete test suite + smoke test)
./agent-harness/verify.sh <ID> --full
Output is JSON to stdout:
{
"status": "pass",
"stages": [
{"name": "typecheck", "status": "pass", "duration_ms": 3200},
{"name": "lint", "status": "pass", "duration_ms": 1800},
{"name": "test-unit", "status": "pass", "duration_ms": 4500}
],
"total_duration_ms": 9500
}
Stages run in order, stopping on first failure:
- typecheck — TypeScript for common, backend, frontend (parallel)
- lint — ESLint for common, backend, frontend (parallel)
- test-unit — Unit tests for changed files
- test-full (--full only) — Complete test suite
- smoke (--full only) — API health check
Step 5: Test Login Credentials
Email: demo@lightdash.com
Password: demo_password!
Common Workflows
Making code changes
- Edit files as needed
- If you changed
packages/common/, the TypeScript watcher auto-rebuilds - If you changed
packages/backend/, restart the API:./agent-harness/agent-cli.sh <ID> restart api - Run verification:
./agent-harness/verify.sh <ID>
Debugging API issues
# Check health
./agent-harness/agent-cli.sh <ID> health
# View recent API logs
./agent-harness/agent-cli.sh <ID> logs api
# Check for errors using Spotlight MCP
mcp__spotlight__search_errors with filters: {"timeWindow": 300}
# Get trace details
mcp__spotlight__get_traces with traceId: "<8-char-prefix-from-logs>"
Debugging frontend issues
# View Vite server logs
./agent-harness/agent-cli.sh <ID> logs frontend
# Use Chrome DevTools MCP for browser automation
# (Your frontend URL is http://localhost:<3000 + ID*10>)
Database queries
# View schema
./agent-harness/agent-cli.sh <ID> psql "\d tablename"
# Run queries
./agent-harness/agent-cli.sh <ID> psql "SELECT * FROM projects LIMIT 5;"
# Check slow queries
./agent-harness/agent-cli.sh <ID> slow-queries
Definition of Done
Your task is complete when ALL are true:
./agent-harness/verify.sh <ID> --fullreturns"status": "pass"- Feature/fix works in browser at your frontend URL
- Tests cover the change
- No TypeScript errors or lint warnings
- Changes are committed
What NOT to Do
- Do NOT modify shared infrastructure (PostgreSQL, MinIO containers)
- Do NOT hardcode ports — always derive from your agent ID
- Do NOT run
docker composecommands — useagent-cli.sh - Do NOT touch other agents' databases or processes
- Do NOT manually edit
.env.agent.<ID>orecosystem.agent.<ID>.config.cjs - Do NOT disable tests to make verification pass
Tmux Session Management
If you were launched with --claude, you're running inside a named tmux session agent-<ID>.
For human supervisors to attach to your session:
# Attach to a specific agent's tmux session
./agent-harness/attach.sh <ID>
# Or directly with tmux
tmux attach -t agent-<ID>
# List all agent sessions
tmux list-sessions | grep "^agent-"
Useful tmux commands (prefix is Ctrl-a on cloud servers, Ctrl-b locally):
prefix + d— Detach from session (leaves Claude running)prefix + [— Enter scroll mode (q to exit)prefix + c— Create new windowprefix + n/p— Next/previous window
Quick Reference Card
# Status & Health
./agent-harness/agent-cli.sh <ID> status
./agent-harness/agent-cli.sh <ID> health
./agent-harness/agent-cli.sh <ID> url
# Logs
./agent-harness/agent-cli.sh <ID> logs api
./agent-harness/agent-cli.sh <ID> logs frontend
# Restart
./agent-harness/agent-cli.sh <ID> restart api
./agent-harness/agent-cli.sh <ID> restart frontend
# Database
./agent-harness/agent-cli.sh <ID> psql "<SQL>"
./agent-harness/agent-cli.sh <ID> slow-queries
# Verification
./agent-harness/verify.sh <ID> # Quick
./agent-harness/verify.sh <ID> --full # Complete
# Package commands (use your agent's env)
pnpm -F common typecheck
pnpm -F backend typecheck
pnpm -F frontend typecheck
pnpm -F backend lint
pnpm -F common test
pnpm generate-api # After TSOA controller changes- 流狐分类
- AI 智能
- 作者声明 Agent
- 未找到明确声明;不据此推断已兼容或已测试
- 静态检查
- 88 / 100 · 启发式扫描,不代表运行安全
- 作者 / 版本 / 许可
- @lightdash · 未声明 license
- 流狐 Token 估算
- 低消耗
- 流狐接入估算
- 需手动接入
- 是否需要外部 API Key
- 未发现要求
- 检测到的系统要求
- Docker
- 底层运行要求
- Node.js · Docker
- 检测到的文件与系统行为
-
- 只读
- 允许写入 / 修改
- Shell 执行
- 读取环境变量
- 检测到的网络行为
- 仅限本地
- 安装命令数
- 无(仅作为资料)
档案由构建时根据 SKILL.md 与安装命令自动衍生,可能与作者实际意图存在差异。
需要注意: 未限定 allowed-tools,默认拥有全部工具权限。
作者没有在当前 SKILL.md 中定义固定输出样例。 Your agent ID determines all your ports and resources. Find it by checking for the generated environment file: This will show something like .env.agent.1 — the number is your agent ID. Alternative: Check which PM2 processes are running:
Once you have your agent ID, your ports are deterministic: Service · Formula · Agent 1 · Agent 2 · Agent 3 Frontend (Vite) · 3000 + (ID × 10) · 3010 · 3020 · 3030
All stack management goes through agent-cli.sh:
Run verification after every code change: Output is JSON to stdout: Stages run in order, stopping on first failure:
Step 5: Test Login Credentials
Common Workflows
# Agent Harness Quick Start
You are running in an isolated Lightdash development environment managed by the agent-harness. This guide helps you discover your environment and get productive immediately.
## Step 1: Discover Your Agent ID
Your agent ID determines all your ports and resources. Find it by checking for the generated environment file:
```bash
ls -la .env.agent.* 2>/dev/null | head -1
```
This will show something like `.env.agent.1` — the number is your agent ID.
**Alternative**: Check which PM2 processes are running:
```bash
pnpm exec pm2 jlist 2>/dev/null | node -e "
const data = JSON.parse(require('fs').readFileSync(0, 'utf8'));
const agents = [...new Set(data.map(p => p.name.match(/^agent-(\d+)-/)?.[1]).filter(Boolean))];
if (agents.length === 1) console.log('AGENT_ID=' + agents[0]);
else if (agents.length > 1) console.log('Multiple agents running: ' + agents.join(', '));
else console.log('No agent processes found');
"
```
## Step 2: Know Your Ports
Once you have your agent ID, your ports are deterministic:
| Service | Formula | Agent 1 | Agent 2 | Agent 3 |
|---------|---------|---------|---------|---------|
| Frontend (Vite) | 3000 + (ID × 10) | 3010 | 3020 | 3030 |
| Backend API | 8000 + (ID × 10) | 8010 | 8020 | 8030 |
| Node Debugger | 9200 + (ID × 10) | 9210 | 9220 | 9230 |
**Shared infrastructure** (same for all agents):
- PostgreSQL: `localhost:15432`
- MinIO S3: `localhost:19000`
- Headless Browser: `localhost:13001`
- Mailpit SMTP: `localhost:11025`
- Mailpit Web UI: `localhost:18025`
Get your URLs with:
```bash
./agent-harness/agent-cli.sh <AGENT_ID> url
```
## Step 3: Use the CLI
All stack management goes through `agent-cli.sh`:
```bash
# Replace <ID> with your agent ID (1-5)
… 作者原文负责流程事实;流狐只索引当前章节、要点、文件与命令。
章节 -> Step 1: Discover Your Agent ID → Step 2: Know Your Ports → Step 3: Use the CLI → Step 4: Verification Workflow → Step 5: Test Login Credentials → Common Workflows
要点 -> Alternative · Shared infrastructure · Run verification after every code change · typecheck · lint · test-unit · test-full · smoke
文件/命令 -> .env.agent.1 · localhost:15432 · localhost:19000 · localhost:13001 · localhost:11025 · localhost:18025 · agent-cli.sh · packages/common/
内容 SHA-256 -> c2538f1ec27f
方法与流程
适用与边界
原文中的明确线索
.env.agent.1、localhost:15432、localhost:19000、localhost:13001、localhost:11025、localhost:18025、agent-cli.sh、packages/common/