feat: initial econ-skm-score v0.1.0 (econ.skm_score@0.1.0)

Standardkostenmodell (Methode des Nationalen Normenkontrollrats):

  eur_per_year = P × F × T × h

  P  population (Fallzahl)
  F  frequency per year (Frequenz)
  T  tariff in €/h (Tarif)
  h  time per case in hours (Zeitaufwand)

Each item preserves the formula string so an auditor can
reconstruct the calculation from the Hub audit log without
re-running the module.

Per-duty tier flags propagate via the Regel-der-niedrigsten-Stufe
(Studie §6.7): the aggregate tier_lowest is the worst tier among
the duties, so any T4 (qualitative signal) ingredient drags the
whole report down to T4. That is intentional — it prevents
methodologically weak inputs from masquerading as confidence.

Reuse-lens: SKM is EU- and OECD-anerkannt. The Niederländer (ATR),
UK (Regulatory Policy Committee) and EU REFIT all use this
methodology. This module is meaningful far beyond lawheatmap.

Pure in-WASM, zero filesystem, zero network.

Reserved for next versions:

  - 0.2: confidence intervals (P/F/T/h Streuung → output band)
  - 0.3: industry-tariff lookup (DESTATIS Bruttoverdienst-Reihen)

Signed-off-by: flemming-it <sf@flemming.it>
This commit is contained in:
flemming-it 2026-06-18 11:25:35 +02:00
commit 3c75ff005f
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[package]
name = "econ_skm_score"
version = "0.1.0"
edition = "2024"
authors = ["Dr. Stefan Flemming <chain@flemming.ai>"]
license = "Apache-2.0"
publish = false
description = "F∆I module — Standardkostenmodell P×F×T×h per duty, total per norm"
repository = "https://git.flemming.ws/chain-modules-econ/econ-skm-score"
rust-version = "1.85"
[lib]
crate-type = ["cdylib", "rlib"]
[dependencies]
chain-module-sdk = { git = "https://git.flemming.ai/fai/chain-module-sdk-rust.git", branch = "main" }
serde = { version = "1", features = ["derive"] }
serde_json = "1"
[profile.release]
opt-level = "s"
lto = true
codegen-units = 1
strip = "symbols"
[lints.rust]
unsafe_op_in_unsafe_fn = "warn"
[lints.clippy]
unwrap_used = "deny"
expect_used = "deny"
panic = "deny"
print_stdout = "deny"
print_stderr = "deny"
[workspace]