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bounty-hunter-pro赏金猎人专业版

Agent Skill

bounty-hunter-pro 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

15,924

周安装

638

GitHub Stars

公开资料未说明

下载量

5,155
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bounty-hunter-pro(赏金猎人专业版)
来源仓库:https://github.com/lugave11/bounty-hunter-pro
安装命令:
openclaw skills install bounty-hunter-pro
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install bounty-hunter-pro

简介

自主扫描目标子域、秘密泄露与漏洞信息。

  • 利用证书透明度日志、JS 文件分析等技术手段。
  • 适用于安全审计前的资产暴露面梳理。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。
  • 需明确授权范围,禁止对非授权目标执行扫描。
  • 建议配合人工研判降低误报干扰。bounty-hunter-pro 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
bounty-hunter-pro
description
Autonomous bug bounty hunting with scope safety. Scans targets for subdomains, secrets, vulnerabilities. Uses Certificate Transparency logs, JS analysis, entropy-based secret detection. LLM-powered vulnerability analysis. ALWAYS respects authorized targets only.
version
1.0.0
author
Jeremiah
tags
[security, bug-bounty, penetration-testing, automation]

Bounty Hunter Pro

Purpose

Autonomous vulnerability scanning for authorized bug bounty programs.

⚠️ CRITICAL: Scope Safety

NEVER scan targets outside [AUTHORIZED_TARGETS]

Before any scan:

  1. Verify target is in authorized list
  2. Log the scope check
  3. Only proceed if authorized

Components

1. nightwatch.py — Scanner

  • Certificate Transparency (crt.sh) for subdomains
  • JS file analysis for secrets
  • Multi-threaded (10 workers default)
  • Outputs to findings_incremental.json

2. analyze_daemon.py — Analyzer

  • Watches findings_incremental.json
  • Entropy filtering to reduce false positives
  • Two-stage LLM analysis:

- Fast: qwen2.5-coder:1.5b - Deep: glm-5:cloud

  • Outputs to live_analysis.md

3. watchdog.py — Alerter

  • Monitors for CRITICAL findings
  • Sends alerts via OpenClaw message bus

Setup

# Install tools
cd ~/workspace/bounty_hunting/tools
unzip subfinder.zip
unzip httpx.zip
unzip nuclei.zip

# Configure authorized targets
echo "example.com" > ~/workspace/bounty_hunting/authorized_targets.txt
echo "*.example.com" >> ~/workspace/bounty_hunting/authorized_targets.txt

Usage Prompt

Run bounty hunt on [TARGET]. Target must be in authorized list.

1. Verify [TARGET] is authorized
2. Run subdomain enumeration
3. Scan each subdomain for:
   - Exposed secrets in JS
   - Misconfigurations
   - Known vulnerabilities
4. Analyze findings with LLM
5. Generate report to ~/workspace/reports/security/[TARGET]/

Directory Structure

~/workspace/bounty_hunting/
├── authorized_targets.txt    # ONLY these can be scanned
├── nightwatch.py            # Main scanner
├── analyze_daemon.py        # LLM analyzer
├── watchdog.py              # Alert system
├── findings_incremental.json # Raw findings
├── live_analysis.md         # Analyzed results
└── tools/
    ├── subfinder
    ├── httpx
    └── nuclei

Output Format

Reports saved to: ~/workspace/reports/security/[TARGET]/YYYY-MM-DD.md

# Security Scan — [TARGET] — [DATE]

## Scope
- Authorized: [TARGET]
- Subdomains found: X
- Endpoints scanned: Y

## 🔴 CRITICAL
1. Finding — Severity — Location — Recommendation

## 🟠 HIGH
1. Finding — Severity — Location — Recommendation

## 🟡 MEDIUM
1. Finding — Severity — Location — Recommendation

## 🟢 INFO
1. Finding — Severity — Location — Recommendation

## Next Steps
1. [Recommended action]

Safety Guards

# ALWAYS check before scanning
def is_authorized(target):
    with open("authorized_targets.txt") as f:
        authorized = [line.strip() for line in f]
    return any(target.endswith(auth) or target == auth for auth in authorized)

# FAIL SAFE
if not is_authorized(target):
    raise ValueError(f"UNAUTHORIZED: {target} not in authorized_targets.txt")

Cron Schedule

# Daily scan at 2am (low-traffic time)
0 2 * * * cd ~/workspace/bounty_hunting && python nightwatch.py

Known Limitations

  • CPU-only (no CUDA)
  • Rate limiting may slow scans
  • Some false positives in entropy detection

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

96.43%
按下载量换算4,971

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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