Supplement 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).

{
  "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)

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. To compare products, run it once per product.

3. Present the result

• Lead with the overall and the three sub-scores.
• Explain why using the rationale and flags, in the user's language, concisely.
• If unknown is non-empty, say plainly that those ingredients aren't covered and the score only reflects coverage of the formula.
• End with the disclaimer.

Rules

• Never fabricate or hand-calculate a score — always run the script.
• Brand-neutral: score by the data, regardless of brand.
• Compliance: structure-function language only ("supports", "helps maintain"); never disease claims ("treats", "cures", "prevents [disease]"). Don't advise starting/stopping medication; refer symptoms to a professional.
• Honesty: the score is a transparent methodology, not objective truth; reference values are an international baseline that varies by country.

For the full scoring logic, the honesty framing, and detailed compliance guidance, read references/methodology.md. The tunable weights and the ingredient reference table are in references/ingredients.json.