# ArtSleuth

> ArtSleuth — ladyfaye1998-artsleuth. Use this tool when you need to analyze and authenticate artworks using AI-powered forensics, solving problems such as detecting forgeries and attributing styles. ArtSleuth takes image inputs and provides outputs including brushstroke analysis, style attribution, and visual explanations. It is ideal for use cases in art conservation, authentication, and historical research, providing interpretable insights into artwork composition and origin.

Canonical page: https://skillsregistry.net/skills/ladyfaye1998-artsleuth  
JSON: https://api.skillsregistry.net/v1/skills/ladyfaye1998-artsleuth

## Description

AI Art Forensics & Analysis Framework — Brushstroke analysis, style attribution, forgery detection, and interpretable visual explanations powered by vision transformers.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ladyFaye1998/ArtSleuth)

## 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": "ladyfaye1998-artsleuth"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ladyfaye1998-artsleuth` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ladyfaye1998-artsleuth/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