# Datum

> Datum — malharinamdar-datum. Use this tool when you need to query SQLite databases using natural language, while ensuring data governance and protection of sensitive information. It solves problems related to data accessibility and compliance, particularly when working with personally identifiable information (PII) or uncertified data. The tool takes natural-language queries as input and returns relevant data from the SQLite database, with citations and typed abstention for sensitive or uncertain information.

Canonical page: https://skillsregistry.net/skills/malharinamdar-datum  
JSON: https://api.skillsregistry.net/v1/skills/malharinamdar-datum

## Description

Enables natural-language querying of SQLite databases through a governed semantic layer, with citations and typed abstention for PII or uncertified data.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l4jlyzbncr)
- **Repository:** <https://github.com/malharinamdar/datum>

## 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": "malharinamdar-datum"
    }
  }
}
```

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