survey-data-audit SKILL.md skillA

survey-data-audit 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/survey-data-audit@git:20261105.dee0bc5

Pins git:20261105.dee0bc5 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/survey-data-audit/SKILL.md
Versions recorded
5
Latest version
git:20261105.dee0bc5, committed Nov 5, 2026
First version recorded
Aug 17, 2026
Size
16,062 bytes
Repository stars
69
License
a license file GitHub does not identify

Audits fielded survey-response data for registered elements, data quality, bot and AI-automation screening, and sample integrity, and produces an appendix-ready quality report. Use at soft launch before full field, after fielding before outcomes are analyzed, or when asked what a study did about bots and AI respondents.

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

# Survey Data Audit

The pass a careful survey team runs between soft launch and analysis: confirm the instrument
captured what was registered, screen for automation and low-effort responding, reconcile the
realized sample against quotas and vendor dispositions, and emit an appendix table plus a methods
paragraph. Platform-agnostic; examples name Qualtrics-style fields because that is where the
field names are standardized.

## When to use

- Soft launch has landed (~50-150 completes per market) and a go/no-go read is due before full field.
- Fielding is complete and the data-quality appendix has to exist before anyone touches the outcomes.
- A vendor, reviewer, or PI asks what the study did about bots and AI respondents.

Not for reshaping conjoint exports (that is `conjoint-cleaning`), and not for inventing exclusion
rules a study should have registered (that is `pre-registration-writing`).

## Inputs

Required: a response-level export, one row per submission, partials and screenouts included where
the platform exports them.

Optional, each unlocking a phase:

- interaction paradata (per-page event counts, honeypot indicator, automation-surface flags)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add scdenney/open-science-skills/survey-data-audit@sha256:5062d3629e78e718

The line at the top of this page pins the label git:20261105.dee0bc5, 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_bhanmltinbxs7bf4.svg)](https://markdownregistry.com/a/art_bhanmltinbxs7bf4)

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

Versions

The registry has recorded 5 versions of this file, between Aug 17, 2026 and Nov 5, 2026, about one every 20 days.

versioncommittedcommitsizeaudit
git:20261105.dee0bc5 latest2026-11-05 dee0bc5 16,062 BA view · diff
git:20261008.697c89f2026-10-08 697c89f 16,093 BA view · diff
git:20260909.08bf7952026-09-09 08bf795 16,016 BA view · diff
git:20260905.c12f0772026-09-05 c12f077 16,012 BA view · diff
git:20260817.a1ba97b2026-08-17 a1ba97b 15,981 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 (16062 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 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_bhanmltinbxs7bf4
GET https://markdownregistry.com/api/v1/resolve?ref=scdenney/open-science-skills/survey-data-audit
GET https://markdownregistry.com/api/v1/blob/5062d3629e78e7183abe44b8b3b2e83835847c52820c2260abe552d8e6739b68

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 survey-data-audit

survey-data-audit SKILL.md skill
scdenney/open-science-skills · codex/survey-data-audit/SKILL.md · Audit fielded survey response data for registered elements, data quality, bot and AI-automation screening, and sample…
git:20261008.697c89f · audit A · 69 stars

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