datacommons-client SKILL.md skillA

datacommons-client from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add marielynneblock/arcanum-artifex/datacommons-client@git:20260710.0115f49

Pins git:20260710.0115f49 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
marielynneblock/arcanum-artifex
Path
skills/scientific/datacommons-client/SKILL.md
Versions recorded
5
Latest version
git:20260710.0115f49, committed Jul 10, 2026
First version recorded
Apr 6, 2026
Size
7,985 bytes
Repository stars
4
License
none declared

Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Data Commons Client

## Overview

Provides comprehensive access to the Data Commons Python API v2 for querying statistical observations, exploring the knowledge graph, and resolving entity identifiers. Data Commons aggregates data from census bureaus, health organisations, environmental agencies, and other authoritative sources into a unified knowledge graph.

## Installation

Install the Data Commons Python client with Pandas support:

```bash
uv pip install "datacommons-client[Pandas]"
```

For basic usage without Pandas:
```bash
uv pip install datacommons-client
```

## Core Capabilities

The Data Commons API consists of three main endpoints, each detailed in dedicated reference files:

### 1. Observation Endpoint - Statistical Data Queries

Query time-series statistical data for entities. See `references/observation.md` for comprehensive documentation.

**Primary use cases:**
- Retrieve population, economic, health, or environmental statistics
- Access historical time-series data for trend analysis
- Query data for hierarchies (all counties in a state, all countries in a region)
- Compare statistics across multiple entities
- Filter by data source for consistency
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add marielynneblock/arcanum-artifex/datacommons-client@sha256:67eb7cd669879e61

The line at the top of this page pins the label git:20260710.0115f49, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ngsj3jowarmf3r2v.svg)](https://markdownregistry.com/a/art_ngsj3jowarmf3r2v)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Apr 6, 2026 and Jul 10, 2026, about one every 24 days.

versioncommittedcommitsizeaudit
git:20260710.0115f49 latest2026-07-10 0115f49 7,985 BA view · diff
git:20260710.d1b3aa82026-07-10 d1b3aa8 7,985 BA view · diff
git:20260710.ffb34002026-07-10 ffb3400 7,985 BA view · diff
git:20260515.b861afb2026-05-15 b861afb 7,985 BA view · diff
git:20260406.05dff342026-04-06 05dff34 7,986 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (7985 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ngsj3jowarmf3r2v
GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/datacommons-client
GET https://markdownregistry.com/api/v1/blob/67eb7cd669879e61ae78f400382acd4971b5d6d981f8341c59f65fcce4a7702d

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Other files named datacommons-client

datacommons-client SKILL.md skill
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git:20260430.71401a2 · audit A · 3,805 stars

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