# Semantic Metrics Modeling Assistant

> Semantic Metrics Modeling Assistant — delta-haseeb-semantic-metrics-modeling-assistant. Use this tool when you need to define and validate metrics through conversation, or when you want to inspect trust scores and lineage for data accuracy. It solves problems of inconsistent metric definitions and lack of transparency in data lineage, enabling data teams to make informed decisions. The tool accepts natural language inputs and outputs validated metric definitions, trust scores, and lineage information, which can be exported to popular data platforms like Looker, Tableau, and dbt.

Canonical page: https://skillsregistry.net/skills/delta-haseeb-semantic-metrics-modeling-assistant  
JSON: https://api.skillsregistry.net/v1/skills/delta-haseeb-semantic-metrics-modeling-assistant

## Description

Enables data teams to define and validate metrics through conversation, inspect trust scores and lineage, and export definitions to Looker, Tableau, and dbt.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/el1w6yjony)
- **Repository:** <https://github.com/Delta-Haseeb/semantic-metrics-modeling-assistant>

## 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": "delta-haseeb-semantic-metrics-modeling-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/delta-haseeb-semantic-metrics-modeling-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/delta-haseeb-semantic-metrics-modeling-assistant/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