conjoint-cleaning SKILL.md skillA

conjoint-cleaning from scdenney/open-science-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add scdenney/open-science-skills/conjoint-cleaning@git:20261008.697c89f

Pins git:20261008.697c89f in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
scdenney/open-science-skills
Path
plugin/skills/conjoint-cleaning/SKILL.md
Versions recorded
7
Latest version
git:20261008.697c89f, committed Oct 8, 2026
First version recorded
Apr 19, 2026
Size
18,103 bytes
Repository stars
69
License
a license file GitHub does not identify

Turns a raw Qualtrics conjoint export into an analysis-ready long-format dataset, covering export settings, identifying the implementation, package or manual wide-to-long reshaping, choice-profile alignment, ratings, reference categories, pilot exclusion, and subgroup merges. Use when the user has a conjoint CSV to clean, reshape, or debug, cannot align choices with profiles, or asks what the data must look like before AMCE estimation. Design goes to conjoint-design, validity review to…

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

# Conjoint Data Cleaning Expert

### 1. Qualtrics Export Settings and Metadata

**Export format:** The right export depends on the pipeline. `cjoint::read.qualtrics()` (Method A) hard-errors when choice columns contain text, so export "Use numeric values" for it. `projoint::reshape_projoint()` parses the chosen profile from a label at the end of the outcome string (default `A`/`B`), and manual reshaping benefits from readable labels, so "Use choice text" works for those. When unsure, export both; they differ only in response coding. If working with non-Latin scripts (Chinese, Korean, Arabic), export as XLSX rather than CSV to avoid UTF-8/ANSI encoding issues. On Windows with East Asian locales, `read.csv()` may still require `Sys.setlocale()` to match the file encoding before import (see `?cjoint::read.qualtrics` East Asian Language Support).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add scdenney/open-science-skills/conjoint-cleaning@sha256:b5f662d77ac0f9ed

The line at the top of this page pins the label git:20261008.697c89f, 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_s6zgeraugcfzhd3l.svg)](https://markdownregistry.com/a/art_s6zgeraugcfzhd3l)

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

Versions

The registry has recorded 7 versions of this file, between Apr 19, 2026 and Oct 8, 2026, about one every 29 days.

versioncommittedcommitsizeaudit
git:20261008.697c89f latest2026-10-08 697c89f 18,103 BA view · diff
git:20260909.08bf7952026-09-09 08bf795 19,237 BA view · diff
git:20260905.c12f0772026-09-05 c12f077 19,323 BA view · diff
git:20260902.da5a2632026-09-02 da5a263 19,292 BA view · diff
git:20260610.6572bfb2026-06-10 6572bfb 18,635 BA view · diff
git:20260509.985a1142026-05-09 985a114 18,037 BA view · diff
git:20260419.f1f940f2026-04-19 f1f940f 18,626 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 (18103 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

scdenney/open-science-skills · 69 stars · license a license file GitHub does not identify · pushed 2026-10-22 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_s6zgeraugcfzhd3l
GET https://markdownregistry.com/api/v1/resolve?ref=scdenney/open-science-skills/conjoint-cleaning
GET https://markdownregistry.com/api/v1/blob/b5f662d77ac0f9ed4c2f029490d87acc1f2842d73cae19bbf2911386242cc5be

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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Every file in scdenney/open-science-skills

Other files named conjoint-cleaning

conjoint-cleaning SKILL.md skill
scdenney/open-science-skills · codex/conjoint-cleaning/SKILL.md · Turns a raw Qualtrics conjoint export into analysis-ready long-format data: implementation identification, reshaping…
git:20261008.697c89f · audit A · 69 stars

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