supplement-scorerlisted
Install: claude install-skill liaoliang1981/dietarysupplement-scorer
# Supplement scorer
Turns a supplement product into auditable scores on **formula**, **quality**,
and **safety** (0-100 each, plus an overall). The numbers come from a
deterministic engine, never from your own estimation — so the same product
always gets the same score, and every number is explainable.
## Workflow
### 1. Build the product into this schema
Gather the product from whatever the user gave you — a pasted ingredient list, a
described product, or a supplement-facts photo (read the label; estimate doses
you can't read cleanly and say so).
```json
{
"name": "Gentle Iron + Folate",
"brand": "Acme",
"certifications": ["GMP", "third_party_tested"],
"ingredients": [
{"name": "Iron", "nutrient": "iron", "form": "ferrous bisglycinate", "amount": 18, "unit": "mg"}
]
}
```
`nutrient` must be a key from `references/ingredients.json` (iron, folate,
vitamin_d, vitamin_b12, vitamin_b6, vitamin_c, vitamin_e, vitamin_a, vitamin_k,
calcium, magnesium, zinc, iodine, choline, omega3_epa_dha, melatonin, creatine,
coq10, ashwagandha, collagen). For an ingredient with no matching key, still
include it with its `name`; the engine reports it as not-yet-covered.
### 2. Run the engine (never invent scores)
```bash
python {skill_dir}/scripts/score.py --json '{...the product json...}'
```
Add `--pregnant` if the user is pregnant or nursing. The script prints JSON with
`formula`, `quality`, `safety`, `overall`, `flags`, `unknown`, `coverage`,
`rationale`, and `disclaimer`