survey-ai-detection

Detect AI-generated survey responses using linguistic and behavioral analysis.

13|4|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/henrique-simoes/Istara --skill survey-ai-detection
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: survey-ai-detection
Source: https://github.com/henrique-simoes/Istara/tree/main/skills/discover/survey-ai-detection
Command: npx skills add https://github.com/henrique-simoes/Istara --skill survey-ai-detection

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detect AI-generated survey responses by applying multiple heuristic and statistical methods to improve data integrity and validity.

Core Features & Use Cases

  • Linguistic analysis: perplexity, burstiness, vocabulary diversity
  • Response pattern analysis: timing, straightlining, semantic similarity
  • Behavioral signals: completion time vs expected, copy-paste indicators
  • Content quality assessment and outlier detection
  • Use cases include validating respondent pools and filtering dubious responses

Quick Start

Upload a dataset (CSV or JSON) and run the detector to obtain per-response flags with confidence scores and a summary report.

Frequently Asked Questions about survey-ai-detection

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect AI-generated responses in survey datasets?

Detect AI-generated survey responses by analyzing linguistic features like perplexity and burstiness, response patterns, and behavioral signals. The tool outputs per-response flags with confidence scores and aggregate statistics.

What behavioral signals indicate a survey response is AI-generated?

Behavioral signals for AI-generated survey responses include abnormal completion times, straightlining patterns, high semantic similarity across answers, and copy-paste indicators. These are evaluated alongside linguistic metrics like perplexity and burstiness.

Can I process CSV and JSON survey data to flag AI responses locally?

Yes, you can upload CSV or JSON survey datasets containing timestamps, item texts, and metadata. The detector uses deterministic, local processing to evaluate the data and return per-response flags with confidence scores without external API calls.

Does this AI response detector work on large survey datasets?

The detector applies heuristic and statistical methods to survey datasets of varying sizes. It processes linguistic features, response patterns, and behavioral signals to output per-response confidence scores and a summary report regardless of dataset scale.

What is the best way to filter dubious survey responses and validate respondent pools?

Filter dubious survey responses by running the detector to obtain per-response flags with confidence scores and aggregate statistics. Use the summary report to identify outliers, assess content quality, and validate your respondent pool.