AI-Text Detection

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Estimate the probability that a document's prose was written by AI, with the specific linguistic tells and an honest abstention when the document isn't prose. Uses the Stipple API (free anonymous tier).

Category: AI & Intelligent Agents
Repo: antigravity-awesome-skills
Path: skills/detect-ai-text/SKILL.md
Updated: 9/7/2026, 7:23:33 AM
Open on GitHubHow to Install

AI Summary

Estimate the probability that a document's prose was written by AI, with the specific linguistic tells and an honest abstention when the document isn't prose. Uses the Stipple API (free anonymous tier). It is useful for LLM applications, agent orchestration, RAG pipelines, AI evaluation, and multi-agent workflows. Source: antigravity-awesome-skills (skills/detect-ai-text/SKILL.md).

AI-Text Detection

Estimate the probability that a document's prose was written by AI, with the specific linguistic tells and an honest abstention when the document isn't prose. Uses the Stipple API (free anonymous tier).

When to use

  • Educators screening student submissions
  • Publishers and platforms triaging inbound content
  • HR reviewing AI-drafted CVs (flag, don't reject)
  • Researchers checking source provenance

Instructions

  1. Get the document. URL, local file path (PDF, DOCX, TXT, MD), or raw text via --text.

  2. Run detection.

    curl -X POST https://www.stipple.sh/v1/detect-ai-text \
  -F "file=@essay.pdf" \
  -H "Authorization: Bearer $STIPPLE_API_KEY"

    For raw text: POST JSON {"text": "..."} to the same endpoint.

  3. Interpret the response.

    • applicable: false — the document is not prose (forms, tables, scans, spreadsheets). Detection is deliberately refused rather than guessed. Report this and stop.
    • probability — model confidence (0–1), NOT a calibrated truth
    • lean — "ai" | "human" | "unsure"
    • tells[] — the specific phrases/patterns flagged (e.g. "It is important to note that", uniform sentence length, low burstiness)
    • reasoning — why the model reached its verdict
    • limitations — always present; the API states its own noise profile

  4. Report honestly. This measures style, not authenticity:

    QuestionTool
    Was this written by AI? (style)this skill
    Is this document genuine/tampered? (forensics)verify-document skill

    A human can write generically; an AI can write plainly. One triage signal, never a verdict.

Output format

AI-written probability: 0.87  (lean: ai)
prose ratio: 0.82

linguistic tells:
  - "It is important to note that, in today's fast-paced world" (stock phrase)
  - uniform sentence length across paragraphs
  - low burstiness; no authorial asides

reasoning: The text relies entirely on formulaic transition clichés...
limitations: The probability is the model's CONFIDENCE, not a calibrated truth.

Limitations and Safety

  • AI-text detection is probabilistic and can disproportionately flag templated, coached, translated, accessibility-assisted, or non-native-English writing. Do not use it as proof of misconduct or as the sole basis for employment, academic, publishing, or disciplinary action.
  • Uploading a document sends its contents to a hosted third party. Obtain explicit approval first, remove unnecessary personal or confidential material, and verify the provider's current retention and deletion terms.
  • Preserve the original work and give the affected person a meaningful human review and appeal path before any consequential decision.

Notes

  • Non-prose documents (forms, tables, payslips) get applicable: false — the engine refuses rather than guessing
  • Can false-flag templated/coached or non-native-English writing — always present as one signal alongside human review
  • Free anonymous tier works without a key; free key at https://www.stipple.sh

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