# EvidenceGene Court

> Use this tool when you need to investigate disk and memory evidence in a digital forensics context. It provides an adversarial autonomous approach, utilizing AI agents to prosecute, defend, and arbitrate findings through a typed, read-only server interface. This tool is ideal for solving complex digital forensics and incident response (DFIR) cases, accepting disk and memory evidence as input and producing investigative findings as output.

Canonical page: https://skillsregistry.net/skills/fuyoh666-evidencegene-court  
JSON: https://api.skillsregistry.net/v1/skills/fuyoh666-evidencegene-court

## Description

Adversarial autonomous DFIR. A court of AI agents — Prosecutor, Defender, Arbiter — investigates disk and memory evidence through a typed, read-only MCP server.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pq8why0d2w)
- **Repository:** <https://github.com/FUYOH666/evidencegene-court>

## 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": "fuyoh666-evidencegene-court"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fuyoh666-evidencegene-court` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fuyoh666-evidencegene-court/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