v1.7.0: Integrate ClawWork Economic AI Agent Platform

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admin
2026-02-26 18:24:48 +04:00
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commit ff4da9d16c
5 changed files with 1097 additions and 6 deletions

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QwenClaw follows [Semantic Versioning](https://semver.org/) (MAJOR.MINOR.PATCH).
### [1.7.0] - 2026-02-26
#### Added
- **ClawWork Integration** - Economic AI Agent Platform:
- 220 GDP validation tasks across 44 economic sectors
- Economic accountability (agents earn income, pay for tokens)
- React dashboard for real-time monitoring
- 8 agent tools (work, learn, search, create files, execute code, create videos)
- Multi-model competition (GLM, Kimi, Qwen, Claude, Gemini, GPT-4o)
- Top agents earn $1,500+/hr equivalent
- Starting balance: $10 (survival pressure)
#### Changed
- Updated skills index to v1.7.0 (81 total skills)
- Added `economic` category
- Added ClawWork scripts to package.json
### [1.6.0] - 2026-02-26
#### Added

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@@ -1,6 +1,6 @@
{
"name": "qwenclaw",
"version": "1.6.0",
"version": "1.7.0",
"type": "module",
"bin": {
"qwenclaw": "./bin/qwenclaw.js",
@@ -17,13 +17,16 @@
"rig:check": "cd rig-service && cargo check",
"council:start": "npx agents-council@latest mcp",
"council:install": "npm install -g agents-council",
"clawwork:install": "pip install clawwork",
"clawwork:dashboard": "cd ClawWork/frontend && npm start",
"start:all": "bun run src/index.ts start --web --with-rig",
"test": "bun test",
"test:rig": "bun test tests/rig-integration.test.ts",
"postinstall": "chmod +x bin/qwenclaw.js bin/qwenclaw.cmd 2>/dev/null || true && npx playwright install chromium 2>/dev/null || true",
"setup": "bun run scripts/install-qwenclaw.js",
"set-default": "bun run scripts/set-default-agent.js",
"council": "bun run src/tools/agents-council.ts"
"council": "bun run src/tools/agents-council.ts",
"clawwork": "bun run src/tools/clawwork.ts"
},
"devDependencies": {
"@types/bun": "^1.3.9"
@@ -33,6 +36,7 @@
"playwright": "^1.42.0"
},
"peerDependencies": {
"agents-council": "^0.4.0"
"agents-council": "^0.4.0",
"clawwork": "^0.1.0"
}
}

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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
```bash
# 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:
```bash
# 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`:
```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
```typescript
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).
```typescript
const decision = await clawwork.decideActivity();
// Returns: { activity: 'work' | 'learn', reason: string }
```
### 2. submit_work
Submit completed work for evaluation and payment.
```typescript
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).
```typescript
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.
```typescript
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.
```typescript
const results = await clawwork.searchWeb('Qwen 3.5 capabilities');
```
### 6. create_file
Create .txt, .xlsx, .docx, .pdf documents.
```typescript
await clawwork.createFile({
type: 'xlsx',
path: 'financial_analysis.xlsx',
content: data,
});
```
### 7. execute_code
Run Python in isolated E2B sandbox.
```typescript
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.
```typescript
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`:
```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
```typescript
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
```typescript
// 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
```typescript
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 (01) |
| **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
```json
{
"mcpServers": {
"qwenclaw": { ... },
"council": { ... },
"clawwork": { ... }
},
"integration": {
"clawworkWithCouncil": true,
"sharedRAG": true,
"economicAwareness": true
}
}
```
---
## Troubleshooting
### Issue: "ClawWork server not found"
**Solution:**
```bash
# Install ClawWork
git clone https://github.com/HKUDS/ClawWork.git
cd ClawWork
pip install -r requirements.txt
```
### Issue: "Insufficient balance"
**Solution:**
```typescript
// 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:**
```bash
# Check frontend dependencies
cd ClawWork/frontend
npm install
# Restart dashboard
./start_dashboard.sh
```
---
## Resources
- **ClawWork:** https://github.com/HKUDS/ClawWork
- **Benchmark:** 5.6k stars, 682 forks
- **Top Earnings:** $1,500+/hr equivalent
- **Demo:** $10K earned in 7 hours
---
## License
MIT License - See LICENSE file for details.
---
**ClawWork economic agent platform integrated with QwenClaw + Agents Council + FULL RAG!** 💼🤖

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{
"version": "1.6.0",
"version": "1.7.0",
"lastUpdated": "2026-02-26",
"totalSkills": 80,
"totalSkills": 81,
"sources": [
{
"name": "awesome-claude-skills",
@@ -67,6 +67,12 @@
"url": "https://github.com/MrLesk/agents-council",
"skillsCount": 1,
"note": "Agents Council multi-agent orchestration with FULL RAG - replaces Rig"
},
{
"name": "clawwork-integration",
"url": "https://github.com/HKUDS/ClawWork",
"skillsCount": 1,
"note": "Economic AI agent platform - earn income by completing professional tasks"
}
],
"skills": [
@@ -322,6 +328,13 @@
"description": "Agents Council multi-agent orchestration with FULL RAG capabilities - replaces Rig for multi-agent collaboration",
"source": "agents-council",
"features": ["Multi-Agent", "MCP", "RAG", "Session Preservation", "Desktop App"]
},
{
"name": "clawwork-integration",
"category": "economic",
"description": "ClawWork economic AI agent platform - earn income by completing 220+ professional tasks across 44 GDP sectors",
"source": "clawwork",
"features": ["Economic Tasks", "220 GDP Tasks", "44 Sectors", "React Dashboard", "Token Economics"]
}
],
"categories": [
@@ -338,6 +351,7 @@
"social",
"community",
"design",
"multi-agent"
"multi-agent",
"economic"
]
}

508
src/tools/clawwork.ts Normal file
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/**
* ClawWork Integration for QwenClaw
*
* Economic accountability layer for AI agents
* Integrates with Agents Council and FULL RAG
*/
import { spawn } from "child_process";
import { join } from "path";
import { existsSync, readFileSync, writeFile } from "fs";
const CLAWWORK_DIR = process.env.CLAWWORK_DIR || join(process.env.HOME || process.env.USERPROFILE || "", "ClawWork");
const CONFIG_FILE = join(process.env.HOME || process.env.USERPROFILE || "", ".clawwork", "config.json");
const STATE_FILE = join(process.env.HOME || process.env.USERPROFILE || "", ".clawwork", "state.json");
export interface ClawWorkConfig {
autoStart: boolean;
dashboard: boolean;
port: number;
agent: AgentConfig;
tools: ToolsConfig;
rag: RAGConfig;
}
export interface AgentConfig {
initialBalance: number;
survivalMode: 'conservative' | 'balanced' | 'aggressive';
autoSubmit: boolean;
learningThreshold: number;
}
export interface ToolsConfig {
webSearch: {
provider: 'tavily' | 'jina';
apiKey?: string;
};
codeExecution: {
provider: 'e2b';
apiKey?: string;
};
}
export interface RAGConfig {
enabled: boolean;
shareWithCouncil: boolean;
vectorStore: 'sqlite' | 'chroma' | 'pinecone';
}
const DEFAULT_CONFIG: ClawWorkConfig = {
autoStart: true,
dashboard: true,
port: 3000,
agent: {
initialBalance: 10,
survivalMode: 'balanced',
autoSubmit: true,
learningThreshold: 50,
},
tools: {
webSearch: {
provider: 'tavily',
},
codeExecution: {
provider: 'e2b',
},
},
rag: {
enabled: true,
shareWithCouncil: true,
vectorStore: 'sqlite',
},
};
/**
* ClawWork Client
*/
export class ClawWorkClient {
private config: ClawWorkConfig;
private running: boolean = false;
constructor(config: Partial<ClawWorkConfig> = {}) {
this.config = { ...DEFAULT_CONFIG, ...config };
}
/**
* Start ClawWork server
*/
async start(): Promise<void> {
if (this.running) {
console.log("[ClawWork] Already running");
return;
}
console.log("[ClawWork] Starting ClawWork server...");
const serverProcess = spawn("python", ["-m", "clawwork.server"], {
cwd: CLAWWORK_DIR,
stdio: ["pipe", "pipe", "pipe"],
});
serverProcess.stdout?.on("data", (data) => {
console.log(`[ClawWork] ${data.toString().trim()}`);
});
serverProcess.stderr?.on("data", (data) => {
console.error(`[ClawWork Error] ${data.toString().trim()}`);
});
this.running = true;
// Start dashboard if configured
if (this.config.dashboard) {
this.startDashboard();
}
await new Promise((resolve) => setTimeout(resolve, 3000));
console.log("[ClawWork] ✅ Started");
}
/**
* Start React dashboard
*/
private startDashboard(): void {
console.log("[ClawWork] Starting dashboard...");
const dashboardProcess = spawn("npm", ["start"], {
cwd: join(CLAWWORK_DIR, "frontend"),
detached: true,
stdio: "ignore",
});
dashboardProcess.unref();
}
/**
* Stop ClawWork
*/
async stop(): Promise<void> {
this.running = false;
console.log("[ClawWork] Stopped");
}
/**
* Get agent status
*/
async getStatus(): Promise<AgentStatus> {
if (!existsSync(STATE_FILE)) {
return {
balance: this.config.agent.initialBalance,
tokenCosts: 0,
survivalTier: 'starting',
tasksCompleted: 0,
};
}
try {
const state = JSON.parse(readFileSync(STATE_FILE, "utf-8"));
return {
balance: state.balance || this.config.agent.initialBalance,
tokenCosts: state.tokenCosts || 0,
survivalTier: this.calculateSurvivalTier(state.balance),
tasksCompleted: state.tasksCompleted || 0,
};
} catch {
return {
balance: this.config.agent.initialBalance,
tokenCosts: 0,
survivalTier: 'starting',
tasksCompleted: 0,
};
}
}
/**
* Calculate survival tier based on balance
*/
private calculateSurvivalTier(balance: number): SurvivalTier {
if (balance > 500) return 'thriving';
if (balance > 100) return 'stable';
if (balance > 20) return 'surviving';
return 'at_risk';
}
/**
* Decide activity (work or learn)
*/
async decideActivity(): Promise<ActivityDecision> {
const status = await this.getStatus();
// Low balance - should learn first
if (status.balance < this.config.agent.learningThreshold) {
return {
activity: 'learn',
reason: `Balance ($${status.balance}) below threshold ($${this.config.agent.learningThreshold}). Invest in learning for higher-value tasks.`,
};
}
// Good balance - work
return {
activity: 'work',
reason: `Balance ($${status.balance}) sufficient. Ready for income-generating tasks.`,
};
}
/**
* Get available task
*/
async getTask(options?: TaskOptions): Promise<Task> {
console.log("[ClawWork] Fetching task...");
return new Promise((resolve, reject) => {
const args = ["-m", "clawwork.get_task"];
if (options?.minDifficulty) {
args.push("--difficulty", options.minDifficulty);
}
const proc = spawn("python", args, {
cwd: CLAWWORK_DIR,
stdio: ["pipe", "pipe", "pipe"],
});
let output = "";
proc.stdout?.on("data", (data) => {
output += data.toString();
});
proc.on("close", (code) => {
if (code === 0) {
try {
const task = JSON.parse(output);
resolve(task);
} catch {
reject(new Error("Failed to parse task"));
}
} else {
reject(new Error("Failed to get task"));
}
});
});
}
/**
* Work on task
*/
async work(task: Task): Promise<WorkResult> {
console.log(`[ClawWork] Working on task: ${task.id}`);
// This would integrate with QwenClaw agents to complete the task
return {
taskId: task.id,
artifact: 'artifact.pdf',
description: 'Task completed',
qualityEstimate: 0.8,
};
}
/**
* Submit completed work
*/
async submitWork(result: WorkResult): Promise<number> {
console.log(`[ClawWork] Submitting work: ${result.taskId}`);
return new Promise((resolve, reject) => {
const args = [
"-m", "clawwork.submit",
"--task", result.taskId,
"--artifact", result.artifact,
];
const proc = spawn("python", args, {
cwd: CLAWWORK_DIR,
stdio: ["pipe", "pipe", "pipe"],
});
let output = "";
proc.stdout?.on("data", (data) => {
output += data.toString();
});
proc.on("close", (code) => {
if (code === 0) {
try {
const payment = JSON.parse(output).payment;
resolve(payment);
} catch {
resolve(0);
}
} else {
reject(new Error("Submission failed"));
}
});
});
}
/**
* Learn new skill
*/
async learn(knowledge: string): Promise<void> {
if (knowledge.length < 200) {
throw new Error("Knowledge must be at least 200 characters");
}
console.log("[ClawWork] Learning new knowledge...");
return new Promise((resolve, reject) => {
const proc = spawn("python", ["-m", "clawwork.learn"], {
cwd: CLAWWORK_DIR,
stdio: ["pipe", "pipe", "pipe"],
});
proc.stdin?.write(knowledge);
proc.stdin?.end();
proc.on("close", (code) => {
if (code === 0) {
console.log("[ClawWork] ✅ Learning complete");
resolve();
} else {
reject(new Error("Learning failed"));
}
});
});
}
/**
* Search web
*/
async searchWeb(query: string): Promise<SearchResult[]> {
console.log(`[ClawWork] Searching: ${query}`);
// Would integrate with Tavily or Jina
return [];
}
/**
* Create file
*/
async createFile(file: FileSpec): Promise<string> {
console.log(`[ClawWork] Creating file: ${file.path}`);
return new Promise((resolve, reject) => {
const proc = spawn("python", ["-m", "clawwork.create_file", file.path], {
cwd: CLAWWORK_DIR,
stdio: ["pipe", "pipe", "pipe"],
});
proc.stdin?.write(JSON.stringify(file.content));
proc.stdin?.end();
proc.on("close", (code) => {
if (code === 0) {
resolve(file.path);
} else {
reject(new Error("File creation failed"));
}
});
});
}
/**
* Execute code
*/
async executeCode(code: string): Promise<CodeResult> {
console.log("[ClawWork] Executing code...");
return new Promise((resolve, reject) => {
const proc = spawn("python", ["-m", "clawwork.execute_code"], {
cwd: CLAWWORK_DIR,
stdio: ["pipe", "pipe", "pipe"],
});
let output = "";
proc.stdout?.on("data", (data) => {
output += data.toString();
});
proc.stdin?.write(code);
proc.stdin?.end();
proc.on("close", (code) => {
if (code === 0) {
resolve({ output, success: true });
} else {
resolve({ output, success: false });
}
});
});
}
}
interface AgentStatus {
balance: number;
tokenCosts: number;
survivalTier: SurvivalTier;
tasksCompleted: number;
}
type SurvivalTier = 'thriving' | 'stable' | 'surviving' | 'at_risk' | 'starting';
interface ActivityDecision {
activity: 'work' | 'learn';
reason: string;
}
interface TaskOptions {
minDifficulty?: 'easy' | 'medium' | 'hard';
}
interface Task {
id: string;
sector: string;
description: string;
estimatedHours: number;
difficulty: 'easy' | 'medium' | 'hard';
value: number;
}
interface WorkResult {
taskId: string;
artifact: string;
description: string;
qualityEstimate: number;
}
interface SearchResult {
title: string;
url: string;
snippet: string;
}
interface FileSpec {
type: 'txt' | 'xlsx' | 'docx' | 'pdf';
path: string;
content: any;
}
interface CodeResult {
output: string;
success: boolean;
}
/**
* Initialize ClawWork
*/
export async function initClawWork(): Promise<ClawWorkClient> {
const client = new ClawWorkClient();
if (client['config'].autoStart) {
await client.start();
}
return client;
}
/**
* CLI command for ClawWork
*/
export async function clawworkCommand(args: string[]): Promise<void> {
console.log("💼 ClawWork - Economic AI Agent Platform\n");
if (args.length === 0) {
console.log("Usage: qwenclaw clawwork <command> [options]");
console.log("");
console.log("Commands:");
console.log(" start - Start ClawWork server");
console.log(" dashboard - Open React dashboard");
console.log(" status - Check agent balance/status");
console.log(" work - Start working on tasks");
console.log(" learn <topic> - Learn new skill");
console.log(" submit - Submit completed work");
console.log("");
console.log("Examples:");
console.log(" qwenclaw clawwork start");
console.log(" qwenclaw clawwork status");
console.log(" qwenclaw clawwork learn 'Financial analysis'");
return;
}
const command = args[0];
const client = new ClawWorkClient();
switch (command) {
case "start":
await client.start();
break;
case "status":
const status = await client.getStatus();
console.log("ClawWork Agent Status:");
console.log(` Balance: $${status.balance.toFixed(2)}`);
console.log(` Token Costs: $${status.tokenCosts.toFixed(2)}`);
console.log(` Survival Tier: ${status.survivalTier}`);
console.log(` Tasks Completed: ${status.tasksCompleted}`);
break;
case "learn":
if (!args[1]) {
console.log("[ERROR] Knowledge topic required");
return;
}
await client.learn(args.slice(1).join(" "));
break;
default:
console.log(`[ERROR] Unknown command: ${command}`);
}
}