eda-playbook SKILL.md skillA

eda-playbook from skillmedev/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add skillmedev/skills/eda-playbook@git:20261005.bea4ea5

Pins git:20261005.bea4ea5 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
skillmedev/skills
Path
skills/eda-playbook/SKILL.md
Versions recorded
3
Latest version
git:20261005.bea4ea5, committed Oct 5, 2026
First version recorded
Jul 5, 2026
Size
8,299 bytes
Repository stars
19
License
MIT

Runs a structured exploratory data analysis on a new or suspect dataset - schema audit, target analysis, feature profiling, missingness patterns, and leakage checks - ending in a written decision log. Use when someone says "I just got this dataset, where do I start", "my model metrics look too good", "audit this data before we model it", or is debugging unexpected model behavior. Do NOT use for writing the transformation code itself - use pandas-expert instead; for ongoing production data…

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

# EDA Playbook

Skipping EDA before modeling is the single most common source of silent failures in ML pipelines: leakage that makes offline metrics fictional, structural missingness treated as random, a target definition nobody actually agreed on. This playbook is a fixed-order audit that surfaces those problems while they cost hours instead of quarters - and its output is a decision log, not a pile of plots.

## Operating procedure

Run the sections in order: schema problems invalidate the target analysis, and the target definition must be pinned before any feature-target relationship means anything.

### Step 1: gather inputs

- The dataset, its supposed grain (one row = ?), and the expected row count. If the provider cannot state either, derive them and label the result a guess.
- The target column and its **written definition** - precisely what event, over what window, measured when. Ambiguity here cascades everywhere; do not proceed on a verbal shrug.
- What information will exist **at prediction time**. This single fact powers every leakage check later.
- Any known collection changes (new form fields, pipeline migrations) that could create structural breaks.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add skillmedev/skills/eda-playbook@sha256:ebc6a3defa0c6f4c

The line at the top of this page pins the label git:20261005.bea4ea5, 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_plwvrof5twrmpw4j.svg)](https://markdownregistry.com/a/art_plwvrof5twrmpw4j)

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

Versions

The registry has recorded 3 versions of this file, between Jul 5, 2026 and Oct 5, 2026, about one every 46 days.

versioncommittedcommitsizeaudit
git:20261005.bea4ea5 latest2026-10-05 bea4ea5 8,299 BA view · diff
git:20260705.a28c4ce2026-07-05 a28c4ce 8,265 BA view · diff
git:20260705.acb55712026-07-05 acb5571 8,307 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 (8299 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

skillmedev/skills · 19 stars · license MIT · pushed 2026-10-13 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_plwvrof5twrmpw4j
GET https://markdownregistry.com/api/v1/resolve?ref=skillmedev/skills/eda-playbook
GET https://markdownregistry.com/api/v1/blob/ebc6a3defa0c6f4cc2a15ee42271d4db78f82b59a3852785dfe1a1b711a6c69d

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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