# io.github.Baneado98/cloud-pathfinder

> Use this tool when you need to identify potential attack paths in your infrastructure-as-code (IaC) configurations, as it audits Terraform, CloudFormation, and Kubernetes files to detect internet-to-crown-jewel chains. It solves problems related to security vulnerabilities and compliance risks by providing a clear visibility of potential attack vectors. It takes IaC configuration files as input and outputs a list of identified attack paths, helping you to prioritize and remediate security weaknesses in your cloud infrastructure.

Canonical page: https://skillsregistry.net/skills/io-github-baneado98-cloud-pathfinder  
JSON: https://api.skillsregistry.net/v1/skills/io-github-baneado98-cloud-pathfinder

## Description

IaC attack-path auditor: finds internet-to-crown-jewel chains in Terraform/CFN/K8s.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Baneado98%2Fcloud-pathfinder)
- **Repository:** <https://github.com/Baneado98/cloud-pathfinder>

## Use it

MCP endpoint published by the skill: `https://cloud-pathfinder.vercel.app/mcp`

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": "io-github-baneado98-cloud-pathfinder"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-baneado98-cloud-pathfinder` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-baneado98-cloud-pathfinder/pull`

---
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