data-analysis SKILL.md skillA

data-analysis from dougtrajano/pydantic-ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add dougtrajano/pydantic-ai-skills/data-analysis@git:20260816.4a89ea0

Pins git:20260816.4a89ea0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
dougtrajano/pydantic-ai-skills
Path
examples/skills/data-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260816.4a89ea0, committed Aug 16, 2026
Size
2,867 bytes
Repository stars
380
License
MIT

Profile and aggregate a bundled sales dataset - group revenue by region, category, channel or month, apply filters, and compute sums, means, medians and ranges. Use for questions about sales figures, trends, or which segments perform best.

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 Analysis Skill

Answers questions about a bundled sales dataset (`resources/sales.csv`): 96 rows
covering six months, four regions, four product categories and three sales
channels.

This is the reference skill for exercising sandbox executors. Both scripts are
standard library only and read their data from the skill folder, so they do real
work with no network, no third-party packages and no host access — exactly the
shape a sandbox is meant to run.

## When to Use This Skill

- "Which region had the highest revenue?" → `aggregate`
- "What were average units sold per category?" → `aggregate`
- "How many rows are in the dataset and what does revenue look like?" → `profile_dataset`
- "Compare online versus retail sales in the north" → `aggregate` with filters

## Skill Scripts

### profile_dataset

Reports dataset shape, column names, summary statistics for every numeric column
(count, sum, mean, median, stdev, min, max) and distinct-value counts for the
categorical ones.

- `column` (optional): Profile a single numeric column instead of all of them

Exits 2 for an unknown column.

### aggregate

Groups rows and aggregates a numeric column, optionally filtered and truncated.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add dougtrajano/pydantic-ai-skills/data-analysis@sha256:af20a8bdb33bbb1b

The line at the top of this page pins the label git:20260816.4a89ea0, 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_aikqcae74msbxfsv.svg)](https://markdownregistry.com/a/art_aikqcae74msbxfsv)

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

Versions

The registry has recorded 1 version of this file, committed on Aug 16, 2026.

versioncommittedcommitsizeaudit
git:20260816.4a89ea0 latest2026-08-16 4a89ea0 2,867 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 (2867 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

dougtrajano/pydantic-ai-skills · 380 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_aikqcae74msbxfsv
GET https://markdownregistry.com/api/v1/resolve?ref=dougtrajano/pydantic-ai-skills/data-analysis
GET https://markdownregistry.com/api/v1/blob/af20a8bdb33bbb1b4cdfdd213fa095d5bb585e7398708daad7b0f95ef92ed64e

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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