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 0xSteph · MCP Server · ★ 1.7k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is pentest-ai safe to install? View the security audit →
pentest-ai Turn Claude Code into your offensive security research assistant. 17 specialized AI subagents for every phase of authorized penetration testing, from scoping to reporting. MITRE ATT&CK mapped. Dual offensive/defensive perspective in every response. []() []() []() []() [](https://github.com/0xSteph/pent
| Stars | 1,667 |
| Forks | 313 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.2041472926808/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-13 |
| Created | 2026-04-04 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~19k |
These tools work well together with pentest-ai for enhanced workflows:
Looking for a pentest-ai alternative? If you're comparing pentest-ai with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Open-source AI-augmented offensive security harness. 13+ autonomous agents, 150+ LLM providers, 5,300+ models,
The AI Agent for Cyber Security.
Open source autonomous AI penetration testing platform. 50+ specialist agents for AI security testing across w
A Claude Code skill bundle for bug hunting and external red-team work - 82 skills, 15 slash commands, 681 disc
A growing collection of MCP servers bringing offensive security tools to AI assistants. Nmap, Ghidra, Nuclei,
An agent-native red-teaming workspace with a fast browser, direct HTTP traffic control, sandboxed execution, a
Explore other popular mcp server tools:
pentest-ai is Open-source AI pentester that proves every finding. Machine oracles re-run each exploit; verified bugs ship a proof capsule you can replay yourself.. It is categorized as a MCP Server with 1.7k GitHub stars.
pentest-ai is primarily written in Python. It covers topics such as ai-penetration-testing, ai-pentesting, ai-security.
You can find installation instructions and usage details in the pentest-ai GitHub repository at github.com/0xSteph/pentest-ai. The project has 1.7k stars and 313 forks, indicating an active community.
pentest-ai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to pentest-ai on Agent Skills Hub include CyberStrike, numasec, Dark-Moon. 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: