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Calculate maturity action

🧠 A Knowledge action (#153). Scores how developed a note is on a deterministic 0–100 scale from four graph-local signals. Offline; reads the in-memory knowledge model.

The formula

maturity = state·40 + connectivity·30 + sources·15 + recency·15    (weights sum to 100)

Each factor is 0..1:

Factor How it's computed
state the note's lifecycle state (#146): fleeting 0.0 · literature 0.3 · developing 0.5 · permanent 0.8 · evergreen 1.0 · archived 0.6 (deliberately mid, not top)
connectivity min(degree, 10) / 10 — in+out links (#145)
sources 1 if the note cites any source (#148), else 0
recency min(ageDays, 180) / 180 — an older, seasoned note scores higher

The result is rounded and clamped to [0, 100]. The weights (MATURITY_WEIGHTS) live in one documented constant and are unit-tested at the boundaries.

This action is the feed for the Knowledge State maturity score (#158), which owns the aggregate/persistence/dashboard — #153 only computes and (optionally) writes the per-note number.

Options

  • Result property — where the 0–100 number is written (default maturity).
  • Write toFrontmatter or Context (also always exposed as {{property}}).
  • Target note (optional) — the note to score; empty ⇒ the note being built.

If the index isn't ready or the note isn't indexed, the action safely no-ops.

Capabilities

File-system read + the disclosed result-property write. No network, no AI.