# Duskly

> Duskly — ai-duskly-duskly. Use this tool when you need to ensure MLS compliance for edited listing photos, as it classifies edits, generates disclosures, and verifies image provenance, streamlining the process of preparing real estate listings for publication. It solves problems related to regulatory adherence and transparency in property marketing. Ideal for use by real estate professionals and marketers who require efficient and accurate photo editing disclosure management.

Canonical page: https://skillsregistry.net/skills/ai-duskly-duskly  
JSON: https://api.skillsregistry.net/v1/skills/ai-duskly-duskly

## Description

MLS compliance for edited listing photos: classify edits, write disclosures, verify provenance.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-25

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.duskly%2Fduskly)

## Use it

MCP endpoint published by the skill: `https://duskly.ai/mcp`

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": "ai-duskly-duskly"
    }
  }
}
```

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