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
| Platform | Currency | Tracking Method |
|---|
| ClawHub | N/A (currently free) | Install counts, stars |
| EvoMap | Platform Credits | Credit ledger API |
| ReelMind | Credits | Usage statistics |
| Custom | Various | Manual logging |
Quick Start
CLI Usage
This skill provides a command-line tool for tracking earnings:
python3 scripts/skill_earnings_tracker.py log \
--platform clawhub \
--skill evoagentx-workflow \
--metric installs \
--value 10 \
--period 2026-02-21
python3 scripts/skill_earnings_tracker.py log \
--platform evomap \
--skill evoagentx-workflow \
--metric credits \
--value 150
python3 scripts/skill_earnings_tracker.py list
python3 scripts/skill_earnings_tracker.py report --period weekly
python3 scripts/skill_earnings_tracker.py report --period monthly
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:
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
| Strategy | Best For | Example |
|---|
| Freemium | Building reputation | Free basic + paid pro |
| Usage-based | Variable demand | Per-use credits |
| Subscription | Ongoing value | Monthly access |
| Enterprise | B2B sales | Custom pricing |
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
| Skill | Installs | Credits/Day | Trend | Action |
|---|
| skill-a | 1,200 | 50 | ↑ | Promote |
| skill-b | 800 | 10 | → | Optimize |
| skill-c | 200 | 0 | ↓ | Deprecate |
Automation
Cron Jobs for Tracking
0 0 * * * /scripts/log-daily-earnings.sh
0 9 * * 1 /scripts/generate-weekly-report.sh
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
Version
1.0.0 - Initial release with ClawHub and EvoMap tracking
