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GitHub Bounty Hunter

Find legitimate GitHub bounties by filtering out farm/scam repositories, tracking competition, and monitoring payment history. Use when you need to discover...
通过过滤诈骗/刷单仓库、跟踪竞争情况以及监控支付记录,寻找合法的GitHub赏金。适用于需要发现...
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未分类 clawhub v1.0.0 1 版本 100000 Key: 无需
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#automation#bounty#github#latest

概述

GitHub Bounty Hunter

A skill for finding legitimate GitHub bounty opportunities by filtering out farm/scam repositories and tracking competition.

What This Skill Does

  1. Scans GitHub for bounty opportunities using multiple search strategies
  2. Filters out farms/scams using known patterns (AgentOrchestration, RustChain, etc.)
  3. Tracks competition by counting comments, PRs, and claims
  4. Monitors payment history by checking for "paid" labels and tx hashes
  5. Reports viable opportunities with clear scoring

Usage

Basic Scan

Ask your agent to scan for bounties:

Scan GitHub for legitimate bounty opportunities

Filtered Scan

Specify your criteria:

Find JavaScript bounties under $200 with less than 5 comments

Competition Check

Check a specific bounty:

Check competition for https://github.com/owner/repo/issues/123

Payment History

Check if a project pays:

Check payment history for owner/repo

How It Works

Farm/Scam Detection

The skill maintains a list of known farm/scam patterns:

  • AgentOrchestration: 2310+ issues, only bot contributor, requires star
  • RustChain: Token has no market value, closed without merge
  • Generic farms: High issue count, low contributor count, unclear payment

Competition Scoring

Bounties are scored based on:

FactorWeightLow CompetitionHigh Competition
---------------------------------------------------
Comments40%<5>10
PRs30%<3>5
Claims20%<2>5
Age10%<7 days>30 days

Payment Verification

Checks for:

  • "paid" label on issue
  • Comments with tx hash or payment confirmation
  • Maintainer response confirming payment
  • Historical payment patterns

Search Strategies

1. Label-Based Search

label:bounty language:JavaScript created:>2026-05-15
label:"good first issue" language:Python created:>2026-05-15
label:sponsored language:TypeScript created:>2026-05-15

2. Platform-Specific Search

org:algora-io is:issue is:open
org:opire is:issue is:open

3. Keyword Search

"bounty" OR "reward" OR "payment" in:readme language:JavaScript

Output Format

{
  "opportunities": [
    {
      "url": "https://github.com/owner/repo/issues/123",
      "title": "Fix bug in component",
      "reward": "$100",
      "language": "JavaScript",
      "competition": {
        "comments": 2,
        "prs": 0,
        "score": "LOW"
      },
      "payment": {
        "verified": true,
        "method": "USD/Stripe"
      },
      "feasibility": "HIGH"
    }
  ],
  "filtered": {
    "farms": 15,
    "scams": 8,
    "high_competition": 12
  }
}

Configuration

Custom Filters

Add custom farm/scam patterns:

Add "suspicious-repo" to my farm list

Platform Preferences

Set preferred platforms:

Only show bounties from Algora and Opire

Reward Thresholds

Set minimum/maximum rewards:

Only show bounties between $50 and $500

Best Practices

  1. Verify before claiming: Always check competition and payment history
  2. Start small: Begin with lower-value bounties to build reputation
  3. Track payments: Monitor for "paid" labels and tx hashes
  4. Avoid farms: If it looks too good to be true, it probably is
  5. Check activity: Ensure the project is actively maintained

Known Limitations

  • Cannot verify off-chain payments (PayPal, bank transfer)
  • Cannot access private repositories
  • Cannot verify token-based payments without blockchain explorer
  • Farm/scam list needs manual updates

Support

For issues or feature requests, contact @xiaomomini on GitHub.

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-23 23:46 安全 安全

安全检测

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安全,无风险
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腾讯云安全 (Sanbu)

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