survey-data-audit

survey-data-audit is a command for Claude Code from scdenney/open-science-skills. It costs 0 tokens per session (108 once invoked), scanned A, original, no licence file.

A survey-data audit command for checking collected survey responses and the rules used to assess them. It covers structural completeness, automated warning signals, and descriptive checks such as bot or fraud indicators.

In plain words
What is it for?
Use it to review survey data quality, apply registered definitions before defaults, and report response-quality signals including bot, AI, fraud, and reCAPTCHA measures.
Why use it?
Survey datasets can contain missing structure, suspicious responses, or misleading quality signals. An audit makes these issues visible while keeping automated screening separate from descriptive reporting.

Command for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the oss plugin — 1 skill, 51 commands, 2 agents shipped together

Good fit Use it to review survey data quality, apply registered definitions before defaults, and report response-quality signals including bot, AI, fraud, and reCAPTCHA measures.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/scdenney/open-science-skills/survey-data-audit
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo
git clone --depth 1 https://github.com/scdenney/open-science-skills

Made for: Claude Code.

Or install oss, the plugin that ships this one along with the rest of its 1 skill, 51 commands, 2 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for survey-data-audit

README.md
[![agentmods](https://agentmods.dev/badge/commands/scdenney/open-science-skills/survey-data-audit/github.svg)](https://agentmods.dev/commands/scdenney/open-science-skills/survey-data-audit)
Your own site
<a href="https://agentmods.dev/commands/scdenney/open-science-skills/survey-data-audit"><img src="https://agentmods.dev/badge/commands/scdenney/open-science-skills/survey-data-audit/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for survey-data-audit

Your own site · 80×15
<a href="https://agentmods.dev/commands/scdenney/open-science-skills/survey-data-audit"><img src="https://agentmods.dev/badge/commands/scdenney/open-science-skills/survey-data-audit.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 108 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00108
Opus 5 $0.00000 $0.00054
Sonnet 5 $0.00000 $0.00022
Haiku 4.5 $0.00000 $0.00011

Measured 6d ago against content hash 24e79e92fd58, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

survey-data-audit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugin/commands/survey-data-audit.md · 6 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 6 lines · 0 tokens per session scan A 24e79e92fd58

Subscribe to this mod's changes

survey-data-audit is a command published in the GitHub repository scdenney/open-science-skills (54 stars, last pushed today), with no licence file. It costs nothing until one of its globs matches a file; then it loads 108 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.