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havelock-apilisted

This skill should be used when writing prose for an external audience and aiming for a warm, conversational, or human tone rather than stiff corporate language. Also use when the user explicitly asks to "analyze orality", "check orality score", "use Havelock", "use the Havelock API", or mentions "havelock.ai", "orality detection", or "oral vs literate". Havelock scores text on a literate-to-oral spectrum, useful for calibrating tone toward natural, approachable writing.
moiri-gamboni/roost · ★ 0 · API & Backend · score 69
Install: claude install-skill moiri-gamboni/roost
# Havelock Orality Detection API Analyze text for orality using the [Havelock API](https://havelock.ai/api). Returns a score from 0 (highly literate) to 100 (highly oral), plus interpretive metadata. Free to use, no authentication required. ## Base URL ``` https://thestalwart-havelock-demo.hf.space ``` ## Two-Step Request Pattern The API uses Gradio's async pattern: submit text, receive an event ID, then poll for results. ### Step 1: Submit Text ``` POST /gradio_api/call/analyze Content-Type: application/json {"data": ["<text>", <include_sentences>]} ``` - `data[0]` (string, required): Text to analyze. - `data[1]` (boolean, optional): Include per-sentence breakdown. Defaults to `false`. Response: `{"event_id": "<id>"}` ### Step 2: Retrieve Results ``` GET /gradio_api/call/analyze/<event_id> ``` Response is Server-Sent Events (SSE). Parse the line starting with `data: ` as JSON. ## Response Fields | Field | Type | Description | |-------|------|-------------| | `score` | integer | 0 (literate) to 100 (oral) | | `interpretation` | object | `mode` and descriptive text | | `word_count` | integer | Number of words analyzed | | `sentences` | array | Per-sentence analysis (only if `include_sentences=true`) | Interpretation modes range from literate-dominant through balanced to oral-dominant (speeches, podcasts, storytelling). ## Usage Examples ### cURL ```bash EVENT_ID=$(curl -sX POST https://thestalwart-havelock-demo.hf.space/gradio_api/call/analyze \ -H "Conten