Skill: kylechen26/skill-earnings-tracker (version 1.0.2)

--- 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: ```bash # 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: ```bash # 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 | 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 ```bash # 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


Security scan verdicts — ClawScan: suspicious | static analysis: clean | VirusTotal: suspicious | SkillSpector: clean (LOW)