# Code Firewall

> Use this tool when you need to protect AI-assisted code execution from malicious threats, such as code injection. Code Firewall detects and blocks harmful code patterns using structural similarity analysis, ensuring secure workflows. It is ideal for use cases where AI agents interact with external code, providing a critical security layer to prevent execution of unsafe code.

Canonical page: https://skillsregistry.net/skills/gh-egoughnour-code-firewall  
JSON: https://api.skillsregistry.net/v1/skills/gh-egoughnour-code-firewall

## Description

Code Firewall acts as a security layer for AI-assisted code execution. It uses structural similarity analysis to detect and block malicious code patterns before they reach execution tools, protecting against code injection and other threats in AI agent workflows.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-egoughnour-code-firewall)
- **Repository:** <https://github.com/egoughnour/code-firewall-mcp>

## 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": "gh-egoughnour-code-firewall"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-egoughnour-code-firewall` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-egoughnour-code-firewall/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