# recon

> recon — zimlama-recon. Use this tool when you need to conduct phase 1 ethical hacking reconnaissance, leveraging 14 modules to gather intelligence and identify vulnerabilities. It solves problems related to security assessments and penetration testing, providing AI-validated results through a self-hosted interface. Ideal for use cases requiring MCP-ready and git-compatible reconnaissance capabilities.

Canonical page: https://skillsregistry.net/skills/zimlama-recon  
JSON: https://api.skillsregistry.net/v1/skills/zimlama-recon

## Description

Phase 1 ethical hacking reconnaissance. 14 modules, AI-validated, self-hosted, MCP-ready.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-10-19

## Source

- **Source listing:** [GitHub](https://github.com/zimlama/recon)

## 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": "zimlama-recon"
    }
  }
}
```

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