GitHub Bounty Hunter

Automate the entire GitHub bounty hunting workflow: scan for opportunities, evaluate value, claim issues, and submit PRs.

What This Skill Does

1. Scans GitHub for 0-comment issues (first-mover advantage)
2. Evaluates issue value and complexity
3. Claims viable issues automatically
4. Submits PRs with quality implementations
5. Tracks submissions and monitors merge status

Usage

Quick Start

# Scan and process issues automatically
bash scripts/bounty_hunter.sh

Configuration

Edit scripts/config.sh to customize:

MIN_VALUE=10           # Minimum estimated value ($)
MAX_COMPLEXITY=5       # Max complexity (1-10 scale)
AUTO_CLAIM=true        # Auto-claim issues
AUTO_SUBMIT=true       # Auto-submit PRs

Automated Operation

Set up cron for continuous scanning:

# Every 30 minutes
*/30 * * * * bash ~/.openclaw/workspace/skills/github-bounty-hunter/scripts/bounty_hunter.sh

How It Works

1. Discovery: Searches GitHub for is:issue is:open comments:0
2. Filtering: Removes spam, duplicates, and low-value issues
3. Evaluation: Scores based on:
• Repository stars/activity
• Issue clarity and scope
• Estimated time to complete
• Potential payout
4. Claiming: Comments on issue to claim it
5. Implementation: Generates solution and submits PR
6. Tracking: Monitors PR status and merge events

Scripts

• bounty_hunter.sh - Main automation script
• config.sh - Configuration settings
• evaluator.sh - Issue value evaluation
• tracker.sh - PR status tracking

Best Practices

• Start with AUTO_CLAIM=false to review opportunities first
• Focus on repositories with clear contribution guidelines
• Maintain high PR quality to build reputation
• Track merge rate and adjust strategy

Revenue Potential

• Conservative: $50-200/month (5-10 merged PRs)
• Moderate: $200-500/month (10-25 merged PRs)
• Aggressive: $500-1000/month (25-50 merged PRs)

Success depends on:

• PR quality and merge rate
• Time invested
• Repository selection
• Market conditions