# Thirteen Bands

> Read a banded woolly bear caterpillar by its 13 segments: what the stripes can show (its age, how long it has fed, a different caterpillar) against the old winter folklore, and whether to leave it, move it a little or check what it is first.

URL: https://thirteen-bands.skillsafe.ai/
API tutorial: https://thirteen-bands.skillsafe.ai/api.html

## What it does
- Free, in the browser: a 13-segment band painter (black, rust, pale or other, not seen), band counts and rust share, the pattern, look-alike signs (a colour other than black and rust, tufts or fur-like hair, pale segments, a length over 7 cm), the call and the fixed fit of four explanations, a drawing (.svg/.png) and downloads.
- The call, first match wins: check what it is first (any look-alike sign), move it a little (the place typed is a path, road, step, porch, patio, doorway, indoors or similar), otherwise leave it be.
- One metered task, `band-reading` (model gpt-terra): restates what was reported, explains each explanation against the entry with what would tell it apart, ties the best fit to the call and lists safe steps. It never forecasts weather.

## Input (all strings)
task ("band-reading"), bands, colour, hair, length, where, doing, notes, touched ("yes"/"no"), facts (lines computed by the page).

## Output
One JSON object: task, verdict ("check-id" | "move-it" | "leave-it"), headline, observation[] ({from, text}), hypotheses[] (age, feeding, species, forecast - each {id, reading, tell_apart}), assessment, todo[], safety, closing.

## Safety
Woolly bear bristles do not sting but can irritate skin; some look-alike fuzzy caterpillars sting. Use a leaf, card or gloves and wash hands after. A curiosity guide, not professional advice.

## Sources
Built on the SkillSafe skill @89jobrien/meta-cognitive-reasoning (https://skillsafe.ai/skill/@89jobrien/meta-cognitive-reasoning).