# PrismSec

> PrismSec — azmisyahrul-prismsec. Use this tool when you need to perform comprehensive security assessments and vulnerability testing through a unified interface. PrismSec solves problems related to network and web application security by providing modular tools for tasks such as port scanning, directory enumeration, and SQL injection testing. It accepts natural language inputs and outputs detailed security scan results, making it ideal for AI agents requiring automated security testing capabilities.

Canonical page: https://skillsregistry.net/skills/azmisyahrul-prismsec  
JSON: https://api.skillsregistry.net/v1/skills/azmisyahrul-prismsec

## Description

A secure, modular MCP server that wraps seven industry-standard security tools (nmap, nuclei, gobuster, subfinder, httpx, nikto, sqlmap) into thirteen MCP tools, enabling AI agents to perform port scanning, vulnerability scanning, directory enumeration, subdomain discovery, web probing, and SQL injection testing through natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tl3apac38q)
- **Repository:** <https://github.com/azmisyahrul/prismsec>

## 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": "azmisyahrul-prismsec"
    }
  }
}
```

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