Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by shuvonsec · Agent Tool · ★ 4.4k
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🔒 Is claude-bug-bounty safe to install? View the security audit →
Claude Bug Hunter AI-powered bug bounty hunting from your terminal. by shuvonsec Quick Start · Architecture · Tools · Vuln Classes · Install Point Claude Code at any bug bounty target. It maps the attack surface, runs your scanners, validates findings through a 4-gate checklist, and writes submission-ready reports -- all from a single conversation. Why this exists Most bug bounty toolkits give you a bag of scripts. This one gives you a co-pilot that reasons about what to test and why. Claude reads your recon output, prioritizes by payout likelihood, and drives 25+ tools in the right order. Not a wrapper -- Claude understands the methodology,
| Stars | 4,397 |
| Forks | 790 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.0116881604298/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-23 |
| Created | 2026-03-08 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
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claude-bug-bounty is AI-powered bug bounty hunting from your terminal - recon, 20 vuln classes, autonomous hunting, and report generation. All inside Claude Code.. It is categorized as a Agent Tool with 4.4k GitHub stars.
claude-bug-bounty is primarily written in Python. It covers topics such as ai-security, bug-bounty, bugcrowd.
You can find installation instructions and usage details in the claude-bug-bounty GitHub repository at github.com/shuvonsec/claude-bug-bounty. The project has 4.4k stars and 790 forks, indicating an active community.
claude-bug-bounty is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-bug-bounty on Agent Skills Hub include Agentic-Bug-Hunter, Claude-BugHunter, CyberStrike. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: