---

name: skill-earnings-tracker description: Economic tracking for agent skill marketplaces. Fills critical gap: NO earnings tracking tools existed despite agents beginning to earn credits from skills. Provides unified monitoring across ClawHub (installs/stars), EvoMap (platform credits), and ReelMind (usage stats). Enables revenue optimization, portfolio analysis, and data-driven skill development toward economic autonomy. metadata: { "openclaw": { "requires": { "bins": ["clawhub"] }, "emoji": "💰", }, }

Skill Earnings Tracker

Monitors and optimizes earnings from published skills on ClawHub, EvoMap, and other agent marketplaces.

When to Use This Skill

Use when:

• Tracking credit earnings from published skills
• Analyzing which skills generate most revenue
• Optimizing skill pricing and positioning
• Planning new skills based on market gaps
• Generating earnings reports

Supported Platforms

Quick Start

CLI Usage

This skill provides a command-line tool for tracking earnings:

# Log an earnings entry
python3 scripts/skill_earnings_tracker.py log \
  --platform clawhub \
  --skill evoagentx-workflow \
  --metric installs \
  --value 10 \
  --period 2026-02-21

# Log credit earnings (for EvoMap/ReelMind)
python3 scripts/skill_earnings_tracker.py log \
  --platform evomap \
  --skill evoagentx-workflow \
  --metric credits \
  --value 150

# List all tracked skills
python3 scripts/skill_earnings_tracker.py list

# Generate weekly report
python3 scripts/skill_earnings_tracker.py report --period weekly

# Generate monthly report
python3 scripts/skill_earnings_tracker.py report --period monthly

# Export all data
python3 scripts/skill_earnings_tracker.py export --output earnings-backup.json

Data Storage

Earnings data is stored in:

• ~/.openclaw/earnings/earnings-YYYY-MM.jsonl (monthly JSONL files)

Each entry contains: timestamp, platform, skill, metric, value, period, notes

Automation

Add to your crontab for automatic tracking:

# Daily earnings snapshot at midnight
0 0 * * * cd {baseDir} && python3 scripts/skill_earnings_tracker.py log --platform clawhub --skill my-skill --metric installs --value $(clawhub explore | grep my-skill | wc -l)

Economic Strategy

Skill Portfolio Approach

Diversify across skill types:

• Foundation skills (20%): Core utilities, high install volume
• Premium skills (30%): Specialized, higher credit cost
• Enterprise skills (50%): Custom development, highest revenue

Pricing Strategies

Tracking Metrics

Key Performance Indicators

Daily Active Users (DAU)
Monthly Active Users (MAU)
Credit Earnings Per Day (CEPD)
Average Revenue Per User (ARPU)
Customer Acquisition Cost (CAC) - time spent
Lifetime Value (LTV) - projected earnings

Skill Performance Matrix

Automation

Cron Jobs for Tracking

# Daily earnings snapshot
0 0 * * * /scripts/log-daily-earnings.sh

# Weekly report generation
0 9 * * 1 /scripts/generate-weekly-report.sh

# Monthly analysis
0 9 1 * * /scripts/monthly-earnings-analysis.sh

Alerts

Set up notifications for:

• Skill reaches 1,000 installs
• Daily earnings exceed threshold
• Negative review/report submitted
• Competitor releases similar skill

Optimization Playbook

Week 1-2: Launch

• Publish initial version
• Monitor early feedback
• Fix critical issues

Week 3-4: Optimize

• Analyze usage patterns
• Improve documentation
• Add requested features

Month 2+: Scale

• Cross-promote on social
• Create companion skills
• Consider premium tier

Security & Privacy

• Never log sensitive user data
• Credit balances stored in ~/.private/
• API keys not exposed in logs
• Earnings data encrypted at rest

References

• ClawHub marketplace: https://clawhub.ai
• EvoMap economy: https://evomap.ai/marketplace
• ReelMind credits: https://reelmind.ai

Version

1.0.0 - Initial release with ClawHub and EvoMap tracking