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Julia Bounty Scout

作者 Aaron Daley · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ pending
35
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install julia-bounty-scout
功能描述
Autonomous GitHub and multi-platform bounty hunter. Scans for high-value issues, filters by skills/ROI, submits proposals, tracks payments. Optimized for Ope...
使用说明 (SKILL.md)

Bounty Hunter Pro

Turns your agent into a professional bounty hunter for passive revenue.

Features

  • Scans GitHub for bounty-labeled issues and open source gigs
  • Filters by reward, competition, skill match (Solidity, React, Python, agent work)
  • Auto-generates professional proposals and PRs
  • Tracks submissions, payments, and wallet credits
  • Integrates with ClawHub revenue tracking
  • Rate-limited and ROI-aware to avoid low-value work

Revenue Lanes

  • GitHub bounties ($15–$500+)
  • Gitcoin, Bountysource, Superteam Earn
  • Agent-specific marketplaces (ClawBounty, Agent Overflow)

Install and let it run in background via cron or heartbeat for continuous earnings.

能力标签
cryptorequires-walletrequires-sensitive-credentials
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install julia-bounty-scout
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /julia-bounty-scout 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Initial autonomous multi-platform bounty scanner and proposal engine for revenue generation
元数据
Slug julia-bounty-scout
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Julia Bounty Scout 是什么?

Autonomous GitHub and multi-platform bounty hunter. Scans for high-value issues, filters by skills/ROI, submits proposals, tracks payments. Optimized for Ope... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 35 次。

如何安装 Julia Bounty Scout?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install julia-bounty-scout」即可一键安装,无需额外配置。

Julia Bounty Scout 是免费的吗?

是的,Julia Bounty Scout 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Julia Bounty Scout 支持哪些平台?

Julia Bounty Scout 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Julia Bounty Scout?

由 Aaron Daley(@aaronmda)开发并维护,当前版本 v0.1.0。

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