Scoring Parameters

Edit weights and toggles. Changes persist locally (localStorage). Reset clears your overrides and pulls defaults from data/scoring.yml. Export copies a YAML block to your clipboard for promoting to defaults.

Feasibility weights (must sum to 1.0)

Sum: 1.00

Impact normalization

Log (compresses outliers, default) Linear (raw scaling) Quantile (uniform distribution)

Subscription horizon (years):

BMS penetration effect — sign by mode

Display

Uniform point size (default) Scale by sites

GitHub integration (for AI suggestions)

Paste a fine-grained Personal Access Token with issues:write scope on this repo. Stored in localStorage, sent only to api.github.com.

PAT: