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Skillv1.0.0

detect-ai-text

Estimate whether a document's prose was written by AI, with the linguistic tells and honest abstention on non-prose. Use when the user asks whether an essay, report, CV, submission, or article was AI-

by sickn33(0) 0 installs
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About

Imported from sickn33/agentic-awesome-skills (skills/detect-ai-text/SKILL.md). Install upstream with npx skills add sickn33/agentic-awesome-skills --skill detect-ai-text. Copyright stays with the author (Apache-2.0).

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:

    Question Tool
    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

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/sickn33-agentic-awesome-skills-detect-ai-text/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

sickn33-agentic-awesome-skills-detect-ai-text.ocm.jsonjson
{
  "ocm": "1",
  "id": "sickn33-agentic-awesome-skills-detect-ai-text",
  "kind": "skill",
  "name": "detect-ai-text",
  "description": "Estimate whether a document's prose was written by AI, with the linguistic tells and honest abstention on non-prose. Use when the user asks whether an essay, report, CV, submission, or article was AI-generated — for triage, not proof.",
  "publisher": "sickn33",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "hr"
    ],
    "tags": [
      "skill-md",
      "document-verification",
      "fact-checking",
      "stipple",
      "authenticity",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Estimate whether a document's prose was written by AI, with the linguistic tells and honest abstention on non-prose. Use when the user asks whether an essay, report, CV, submission, or article was AI-generated — for triage, not proof."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/sickn33/agentic-awesome-skills",
      "path": "skills/detect-ai-text/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/sickn33/agentic-awesome-skills/blob/HEAD/skills/detect-ai-text/SKILL.md",
      "key": "sickn33/agentic-awesome-skills/skills/detect-ai-text/SKILL.md"
    },
    "license": "Apache-2.0"
  },
  "instructions": "# AI-Text Detection\n\nEstimate 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).\n\n## When to use\n\n- Educators screening student submissions\n- Publishers and platforms triaging inbound content\n- HR reviewing AI-drafted CVs (flag, don't reject)\n- Researchers checking source provenance\n\n## Instructions\n\n1. **Get the document.** URL, local file path (PDF, DOCX, TXT, MD), or raw text via `--text`.\n\n2. **Run detection.**\n\n   ```bash\n   curl -X POST https://ww",
  "cost": {
    "context_tokens": 776
  }
}

Fetch it by URL: GET /api/v1/registry/sickn33-agentic-awesome-skills-detect-ai-text/manifest?version=1.0.0

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