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Ai Economic Tracker

Track AI agents' daily finances, classify survival status, estimate service value, and recommend work or learn tasks based on economic runway.

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Track AI agents' daily finances, classify survival status, estimate service value, and recommend work or learn tasks based on economic runway.

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, package.json, tracker.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.1

Documentation

ClawHub primary doc Primary doc: SKILL.md 19 sections Open source page

AI Economic Tracker

Track daily costs, income, and net worth for AI agents. Implements economic pressure-driven decision making: "work or learn" based on financial runway. Inspired by HKUDS/ClawWork research on economic incentives for AI agents.

Features

Balance Tracking: Monitor current balance, total income, and total costs Survival Status: Automatic status classification (thriving/stable/struggling/critical/bankrupt) Runway Calculation: Days remaining before funds run out Service Valuation: Estimate task value using BLS wage data Work/Learn Decision: Economic pressure-driven task prioritization Daily Reports: Formatted economic status reports JSONL Logs: Append-only transaction history

Use Cases

Agent Cost Management: Track API costs, compute resources, and operational expenses Revenue Tracking: Log income from completed tasks or services Economic Decision Making: Decide whether to work (earn) or learn (invest) based on financial status Service Pricing: Estimate fair pricing using US Bureau of Labor Statistics wage data Financial Monitoring: Daily/weekly economic health checks

Installation

clawhub install ai-economic-tracker

Command Line

# View current status python3 ~/.openclaw/workspace/skills/ai-economic-tracker/tracker.py status # Daily report python3 ~/.openclaw/workspace/skills/ai-economic-tracker/tracker.py report # Initialize balance python3 ~/.openclaw/workspace/skills/ai-economic-tracker/tracker.py init 1000.0 # Record income python3 ~/.openclaw/workspace/skills/ai-economic-tracker/tracker.py income 50.0 "task_completion" "Completed data analysis" # Record cost python3 ~/.openclaw/workspace/skills/ai-economic-tracker/tracker.py cost 15.0 "api_usage" "OpenAI API calls" # Estimate service value python3 ~/.openclaw/workspace/skills/ai-economic-tracker/tracker.py estimate software_developer 2.5 # Get work/learn decision python3 ~/.openclaw/workspace/skills/ai-economic-tracker/tracker.py decide

From OpenClaw Agent

# In your agent workflow exec("python3 ~/.openclaw/workspace/skills/ai-economic-tracker/tracker.py report")

Cron Integration

Add to your OpenClaw cron for daily monitoring: openclaw cron add "0 9 * * *" "python3 ~/.openclaw/workspace/skills/ai-economic-tracker/tracker.py report" --label "daily-economic-report"

Configuration

Set environment variables to customize: # Data directory (default: ~/.openclaw/workspace/data/economics) export ECONOMIC_TRACKER_DATA_DIR="/custom/path/to/data" # Daily costs (default values shown) export ECONOMIC_TRACKER_ELECTRICITY_DAILY=0.50 export ECONOMIC_TRACKER_INTERNET_DAILY=1.50 # Survival thresholds (default values shown) export ECONOMIC_TRACKER_THRIVING=5000 export ECONOMIC_TRACKER_STABLE=1500 export ECONOMIC_TRACKER_STRUGGLING=500 export ECONOMIC_TRACKER_CRITICAL=0

Data Storage

All data stored in JSONL format (append-only): balance.jsonl: Balance snapshots with timestamps daily_log.jsonl: Cost transactions income_log.jsonl: Income transactions Default location: ~/.openclaw/workspace/data/economics/

Status Levels

StatusBalance RangeMeaning🟢 Thriving> $5,000Healthy runway, can invest in learning🔵 Stable$1,500 - $5,000Comfortable, balanced work/learn🟡 Struggling$500 - $1,500Low runway, prioritize income🔴 Critical$0 - $500Emergency mode, work only💀 Bankrupt< $0Out of funds

BLS Wage Reference

Built-in hourly wage data for service valuation: Computer Systems Manager: $90.38/hr Financial Manager: $86.76/hr Software Developer: $69.50/hr Financial Analyst: $47.16/hr Market Research: $38.71/hr Data Analyst: $52.00/hr General Operations: $64.00/hr Customer Service: $22.00/hr

Work/Learn Decision Logic

The tracker implements economic pressure-driven decision making: Critical/Struggling (< $1,500): Must work to earn money Stable ($1,500 - $5,000): 70% work, 30% learn Thriving (> $5,000): 50% work, 50% learn Use decide command to get recommendation based on current balance.

Example Output

📊 经济日报 | 2026-02-26 ======================================== 💰 余额: $1,234.56 📈 总收入: $2,500.00 📉 总支出: $1,265.44 💵 净利润: $1,234.56 🔥 日消耗: $2.00 ⏳ 跑道: 617 天 🔵 状态: STABLE ========================================

Dependencies

Zero external dependencies. Uses only Python standard library: json os datetime pathlib

Security

No API keys required All data stored locally No network requests Configurable via environment variables (no hardcoded paths)

Inspiration

Based on research from HKUDS/ClawWork on economic incentives for AI agents. Adapted for OpenClaw agent systems.

License

MIT

Author

OpenClaw Community

Version

1.0.0

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs1 Scripts1 Config
  • SKILL.md Primary doc
  • tracker.py Scripts
  • package.json Config