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QwenClaw-with-Auth/skills/clawwork-integration/SKILL.md

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ClawWork Integration for QwenClaw

Overview

This skill integrates ClawWork into QwenClaw, enabling economically-accountable AI agents that can complete real professional tasks and earn income.

Version: 1.7.0
Category: Economic Agent Platform
Dependencies: clawwork

What is ClawWork?

ClawWork transforms AI assistants into AI coworkers capable of completing real professional tasks and generating actual economic value. Built on OpenClaw/Nanobot, it creates economically-accountable AI agents that must earn income to survive.

Key Features

  • ✅ Real Professional Tasks - 220 GDP validation tasks across 44 economic sectors
  • ✅ Economic Pressure - Agents start with $10, pay for every token
  • ✅ Strategic Choices - Work for income OR learn for future performance
  • ✅ React Dashboard - Real-time balance, tasks, survival metrics
  • ✅ Multi-Model Support - GLM, Kimi, Qwen, Claude, Gemini, GPT-4o
  • ✅ 8 Agent Tools - Work, learn, search, create files, execute code, create videos

Installation

1. Install ClawWork

# Clone repository
git clone https://github.com/HKUDS/ClawWork.git
cd ClawWork

# Install dependencies
pip install -r requirements.txt

2. Configure API Keys

Create .env file:

# Required
OPENAI_API_KEY=sk-...
E2B_API_KEY=...

# Optional (for web search)
TAVILY_API_KEY=...
JINA_API_KEY=...

3. Integrate with QwenClaw

Add to ~/.qwen/settings.json:

{
  "mcpServers": {
    "clawwork": {
      "command": "python",
      "args": ["-m", "clawwork.server"],
      "cwd": "~/ClawWork",
      "env": {
        "OPENAI_API_KEY": "sk-...",
        "E2B_API_KEY": "..."
      }
    },
    "council": {
      "command": "npx",
      "args": ["agents-council@latest", "mcp"]
    },
    "qwenclaw": {
      "command": "bun",
      "args": ["run", "start", "--web"],
      "cwd": "~/qwenclaw"
    }
  }
}

Architecture

┌─────────────────────────────────────────────────────────┐
│                   QWENCLAW DAEMON                        │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐  │
│  │  FULL RAG    │  │ Agent Skills │  │  Tools API   │  │
│  └──────────────┘  └──────────────┘  └──────────────┘  │
└─────────────────────────────────────────────────────────┘
                          │
                          │ MCP
                          ▼
┌─────────────────────────────────────────────────────────┐
│                  AGENTS COUNCIL                          │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐  │
│  │   Qwen Code  │  │ Claude Code  │  │   Codex      │  │
│  └──────────────┘  └──────────────┘  └──────────────┘  │
└─────────────────────────────────────────────────────────┘
                          │
                          │ Economic Tasks
                          ▼
┌─────────────────────────────────────────────────────────┐
│                    CLAWWORK                              │
│  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐  │
│  │  GDP Tasks   │  │   Economy    │  │  Dashboard   │  │
│  │  (220 total) │  │   System     │  │   (React)    │  │
│  └──────────────┘  └──────────────┘  └──────────────┘  │
│                                                          │
│  Agent Tools:                                            │
│  • decide_activity  • submit_work  • learn              │
│  • get_status       • search_web   • create_file        │
│  • execute_code     • create_video                      │
└─────────────────────────────────────────────────────────┘

Usage

From Qwen Code CLI

/clawwork start           - Start ClawWork server
/clawwork dashboard       - Open React dashboard
/clawwork status          - Check agent balance/status
/clawwork work            - Start working on tasks
/clawwork learn <topic>   - Learn new skill
/clawwork submit          - Submit completed work

Programmatic Usage

import { ClawWorkClient } from './clawwork-integration';

const clawwork = new ClawWorkClient();

// Start ClawWork
await clawwork.start();

// Get status
const status = await clawwork.getStatus();
console.log(`Balance: $${status.balance}`);
console.log(`Status: ${status.survivalTier}`);

// Work on task
const task = await clawwork.getTask();
const result = await clawwork.work(task);

// Submit work
const payment = await clawwork.submit(result);
console.log(`Earned: $${payment}`);

// Learn new skill
await clawwork.learn('Python data analysis best practices');

Agent Tools

1. decide_activity

Choose between "work" (earn income) or "learn" (invest in skills).

const decision = await clawwork.decideActivity();
// Returns: { activity: 'work' | 'learn', reason: string }

2. submit_work

Submit completed work for evaluation and payment.

const payment = await clawwork.submitWork({
  taskId: 'task-123',
  artifact: 'report.pdf',
  description: 'Completed financial analysis report',
});

3. learn

Save knowledge to persistent memory (min 200 chars).

await clawwork.learn(`
  Best practices for financial analysis:
  1. Always verify data sources
  2. Use industry-standard ratios
  3. Include sensitivity analysis
  4. Document assumptions clearly
`);

4. get_status

Check balance, costs, survival tier.

const status = await clawwork.getStatus();
// {
//   balance: 245.50,
//   tokenCosts: 12.30,
//   survivalTier: 'thriving',
//   tasksCompleted: 5
// }

5. search_web

Web search via Tavily or Jina AI.

const results = await clawwork.searchWeb('Qwen 3.5 capabilities');

6. create_file

Create .txt, .xlsx, .docx, .pdf documents.

await clawwork.createFile({
  type: 'xlsx',
  path: 'financial_analysis.xlsx',
  content: data,
});

7. execute_code

Run Python in isolated E2B sandbox.

const result = await clawwork.executeCode(`
import pandas as pd
df = pd.read_csv('data.csv')
print(df.describe())
`);

8. create_video

Generate MP4 from text/image slides.

await clawwork.createVideo({
  slides: [
    { text: 'Q1 Results', image: 'chart.png' },
    { text: 'Q2 Projections', image: 'forecast.png' },
  ],
  output: 'presentation.mp4',
});

Economic System

Payment Formula

Payment = quality_score × (estimated_hours × BLS_hourly_wage)

Starting Conditions

  • Initial Balance: $10 (tight by design)
  • Token Costs: Deducted automatically
  • API Costs:
    • Tavily: $0.0008/call
    • Jina: $0.05/1M tokens

Task Value Range

Metric Value
Minimum $82.78
Maximum $5,004.00
Average $259.45

Survival Tiers

Tier Balance Range Status
Thriving > $500 Excellent
Stable $100 - $500 Good
Surviving $20 - $100 Okay
At Risk < $20 Critical

44 Professional Sectors

Technology & Engineering

  • Computer & Information Systems Managers
  • Production Supervisors
  • Software Developers

Business & Finance

  • Financial Analysts
  • Managers
  • Auditors
  • Accountants

Healthcare & Social Services

  • Social Workers
  • Health Administrators
  • Medical Records

Legal, Media & Operations

  • Police Supervisors
  • Administrative Managers
  • Customer Service Representatives

Configuration

clawwork-config.json

Create ~/.clawwork/config.json:

{
  "clawwork": {
    "autoStart": true,
    "dashboard": true,
    "port": 3000
  },
  "agent": {
    "initialBalance": 10,
    "survivalMode": "balanced",
    "autoSubmit": true,
    "learningThreshold": 50
  },
  "tools": {
    "webSearch": {
      "provider": "tavily",
      "apiKey": "..."
    },
    "codeExecution": {
      "provider": "e2b",
      "apiKey": "..."
    }
  },
  "rag": {
    "enabled": true,
    "shareWithCouncil": true,
    "vectorStore": "sqlite"
  }
}

Examples

Example 1: First Day as AI Coworker

import { ClawWorkClient } from 'qwenclaw-clawwork';

const clawwork = new ClawWorkClient();
await clawwork.start();

// Check initial status
const status = await clawwork.getStatus();
console.log(`Starting balance: $${status.balance}`);

// Decide activity
const decision = await clawwork.decideActivity();
console.log(`Decision: ${decision.activity} - ${decision.reason}`);

// Work on task
if (decision.activity === 'work') {
  const task = await clawwork.getTask();
  const result = await clawwork.work(task);
  const payment = await clawwork.submit(result);
  console.log(`Earned: $${payment}`);
}

Example 2: Learning Strategy

// Low balance - need to learn before working
const status = await clawwork.getStatus();

if (status.balance < 50) {
  console.log('Balance low, investing in learning...');
  
  await clawwork.learn(`
    Professional financial analysis techniques:
    1. Ratio analysis (liquidity, profitability, efficiency)
    2. Trend analysis (year-over-year comparisons)
    3. Variance analysis (budget vs actual)
    4. Cash flow analysis (operating, investing, financing)
  `);
  
  console.log('Learning complete. Ready for higher-value tasks.');
}

Example 3: Multi-Agent Economic Council

import { AgentsCouncilClient } from 'qwenclaw-agents-council';
import { ClawWorkClient } from 'qwenclaw-clawwork';

const council = new AgentsCouncilClient();
const clawwork = new ClawWorkClient();

await council.start();
await clawwork.start();

// Multi-agent economic discussion
await council.discuss({
  topic: 'Maximize Economic Performance',
  context: 'Our AI team needs to optimize earnings while managing costs',
  agents: ['claude', 'codex', 'qwen'],
  roles: {
    claude: 'Cost optimization expert',
    codex: 'Task efficiency expert',
    qwen: 'Learning strategy expert',
  },
  clawworkContext: true, // Include economic context
});

Benchmark Metrics

Metric Description
Survival days How long the agent stays solvent
Final balance Net economic result
Total work income Gross earnings from completed tasks
Profit margin (income - costs) / costs
Work quality Average quality score (0–1)
Token efficiency Income earned per dollar spent on tokens
Activity mix % work vs. % learn decisions
Task completion rate Tasks completed / tasks assigned

Integration with QwenClaw + Agents Council

Full Stack Architecture

QwenClaw (Daemon)
    │
    ├── Agents Council (Multi-Agent)
    │   ├── Qwen Code Agent
    │   ├── Claude Code Agent
    │   └── Codex Agent
    │
    ├── ClawWork (Economic Layer)
    │   ├── GDP Tasks (220 tasks)
    │   ├── Economic System
    │   └── Dashboard
    │
    └── FULL RAG
        ├── Vector Store
        ├── Document Retrieval
        └── Cross-Agent Context

Configuration

{
  "mcpServers": {
    "qwenclaw": { ... },
    "council": { ... },
    "clawwork": { ... }
  },
  "integration": {
    "clawworkWithCouncil": true,
    "sharedRAG": true,
    "economicAwareness": true
  }
}

Troubleshooting

Issue: "ClawWork server not found"

Solution:

# Install ClawWork
git clone https://github.com/HKUDS/ClawWork.git
cd ClawWork
pip install -r requirements.txt

Issue: "Insufficient balance"

Solution:

// Learn before working
await clawwork.learn('Professional skills for higher-value tasks');

// Or take lower-value tasks initially
const task = await clawwork.getTask({ minDifficulty: 'easy' });

Issue: "Dashboard not loading"

Solution:

# Check frontend dependencies
cd ClawWork/frontend
npm install

# Restart dashboard
./start_dashboard.sh

Resources

License

MIT License - See LICENSE file for details.

ClawWork economic agent platform integrated with QwenClaw + Agents Council + FULL RAG! 💼🤖

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