← ClaudeAtlas

detect-ai-textlisted

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.
Sketchjar/stipple-agent-skills · ★ 0 · AI & Automation · score 60
Install: claude install-skill Sketchjar/stipple-agent-skills
# 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.** ```bash 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)