# PentestThinking

> Use this tool when you need to systematically analyze and plan multi-stage attack paths for penetration testing, solving problems such as automated vulnerability chaining and exploit pathfinding optimization. It takes in inputs such as network configurations and outputs recommended attack steps, tools, and statistical analysis, making it ideal for CTF challenges, Hack The Box machines, and real-world penetration testing scenarios. By leveraging advanced algorithms like Beam Search and Monte Carlo Tree Search, PentestThinking provides a structured approach to red team strategy development and decision tree exploration.

Canonical page: https://skillsregistry.net/skills/ibrahimsaleem-pentestthinking  
JSON: https://api.skillsregistry.net/v1/skills/ibrahimsaleem-pentestthinking

## Description

PentestThinkingMCP is an advanced reasoning engine for penetration testing that implements both Beam Search and Monte Carlo Tree Search (MCTS) algorithms to systematically analyze and plan multi-stage attack paths. Built by ibrahimsaleem as the foundational implementation for the LIMA research paper on leveraging LLMs for initial machine access, it transforms standard language models into structured pentest advisors by scoring attack steps, recommending appropriate tools (nmap, metasploit, linpeas), and maintaining tree-based attack progression with statistical analysis. The system excels at automated vulnerability chaining, exploit pathfinding optimization, and red team strategy development, making it particularly useful for CTF challenges, Hack The Box machines, and real-world penetration testing scenarios where methodical attack planning and decision tree exploration are critical.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ibrahimsaleem-pentestthinking)
- **Repository:** <https://github.com/ibrahimsaleem/pentestthinkingmcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ibrahimsaleem-pentestthinking"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ibrahimsaleem-pentestthinking` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ibrahimsaleem-pentestthinking/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt