No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by h4ckologic · MCP Server · ★ 64
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is bughunter-ai safe to install? View the security audit →
BugHunter AI Autonomous Bug Bounty Hunting Framework Powered by Claude Code + PAI 28 specialized AI agents. 8 orchestrated workflows. State-machine orchestration. 51 skills. Zero human input required. Quick Start • Full Setup • Superpowers • Architecture • Agents • Prompts • Contributing <img src="https://img.shields.io/badge/License-MIT-green?style=for-the-badge" alt="MIT Licen
| Stars | 64 |
| Forks | 23 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 65.0806654091109/100 |
| Last Updated | 2026-05-19 |
| Created | 2026-05-13 |
| Platforms | claude-code, mcp, node |
| Est. Tokens | ~18k |
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bughunter-ai is Autonomous Bug Bounty Hunting Framework powered by Claude Code. 20 AI agents, state-machine orchestration, Burp Suite MCP, credential vault, LLM security track. Type 'hunt target.com' and let AI find . It is categorized as a MCP Server with 64 GitHub stars.
bughunter-ai is primarily written in TypeScript. It covers topics such as ai-agents, anthropic, autonomous.
You can find installation instructions and usage details in the bughunter-ai GitHub repository at github.com/h4ckologic/bughunter-ai. The project has 64 stars and 23 forks, indicating an active community.
bughunter-ai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to bughunter-ai on Agent Skills Hub include tengu, auto-company, agentseal. 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: