name: github-bounty-hunter version: 1.0.0 description: Automatically search for low-competition GitHub bounty tasks (comments < 5) and generate a clean report with details and estimated difficulty. author: Your Name price: 299 category: Bounty Hunting tags: - github - bounty - automation - search

GitHub Bounty Hunter 🎯💰

Automatically find low-competition bounty tasks on GitHub. Filter by number of comments to avoid crowded bounties and maximize your chance of getting accepted.

Features

• 🔍 Search open bounties with label:bounty and state:open
• 🎯 Low-competition filter - only shows bounties with < N comments (default 5)
• 📊 Generate clean report with title, URL, comment count, difficulty estimation
• ⚡ Fast search via GitHub API
• 🎨 Sorted by competition level - least competition first

Installation

npx clawhub install github-bounty-hunter

Usage

Search for low-competition bounties:

npx github-bounty-hunter

Customize maximum comment count:

npx github-bounty-hunter 3

Output example:

=========================================
  GitHub Bounty Hunter - Search Results
=========================================

Found 5 low-competition bounties:

👉 Add transaction history page
   URL: `https://github.com/example/project/issues/6` 
   💬 Comments: 2 | 💪 Difficulty: Beginner

👉 FAQ & How It Works Page
   URL: `https://github.com/example/project/issues/264` 
   💬 Comments: 1 | 💪 Difficulty: Beginner

...

Requirements

• Node.js 16+
• GitHub API access (authenticated for higher rate limits)

How it works

This skill uses the GitHub Search API to find open issues with the bounty label, filters by comment count, sorts by least comments first, and outputs a clean report ready for you to pick your next bounty.

Perfect for:

• Beginners looking for easy bounties
• Bounty hunters who want less competition
• Daily quick scans for new opportunities

Changelog

1.0.0

• Initial release

  7w4.net小葱技能站收录全网优质技能，值得收藏。

• Basic search and filtering
• Report generation

工具本身可以正常使用，文档清晰、界面友好，输出格式也很直观。但稳定性存在问题——没有 API 认证容易被限流，搜索结果可能不完整，遇到问题也没有明确的错误提示。适合偶尔使用但不适合长期依赖，整体质量中规中矩，核心功能可用但需要进一步打磨。