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docs: plain-English pass over the active specs

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Ran the humanizer rules over 79 prose files in the active specs (brief,
design, requirements, research and narrative docs). Removed em dashes,
significance inflation, forced rule-of-three, bold-label list items and
filler. Skipped tasks.md checklists and the retired specs (harnessx-*,
openrouter-sast-harness, unseen-repo-evaluation).

Every number, path, command, hash and identifier was preserved: checked
each file against HEAD for drift in numbers, inline code and code fences,
zero drift across all 79 files.

Co-Authored-By: Claude Opus 4.8 <[email protected]>
This commit is contained in:
Marius Ciepluch
2026-10-12 18:16:41 +02:00
co-authored by Claude Opus 4.8
parent b08f372022
commit 39a1873e5b
79 changed files with 1103 additions and 1103 deletions
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.kiro/specs/learned-decision-engine/requirements.md
+4 -4
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@@ -9,13 +9,13 @@ Maintainer direction and context: `brief.md`.
## Boundary Context
- **In scope**: a feature record per candidate built from every instrument and the memory store; a labelled
- In scope: a feature record per candidate built from every instrument and the memory store; a labelled
dataset with provenance; training, calibration and versioning of the decision engine; A/B experiments as plane
Runs; learning curves and leave-one-population-out estimates; the engine's use in `ousast scan`, `ousast
pre-push` and plane Runs; a final one-time check on frozen population v3.
- **Out of scope**: new instruments (they plug in as signal producers later); deep or large models; any change to
- Out of scope: new instruments (they plug in as signal producers later); deep or large models; any change to
population v3 or its protocol; publishing results (licences still gate that).
- **Adjacent expectations**: instruments keep working standalone; the memory store (harnessx-removal Req 6) is
- Adjacent expectations: instruments keep working standalone; the memory store (harnessx-removal Req 6) is
the system of record; the plane attributes every experiment's token spend per task.
## Requirements
@@ -121,7 +121,7 @@ rule hits.
reported unless the engine's decision changes.
4. *(Amended 2026-10-03, maintainer decision; refines the BLOCK rule of 7.3 and 7.4. Tested by exp-004.)* BLOCK
precision is demonstrated pooled across families, not per family:
- **Normalisation**, declared before any run: each family's raw score is put on one scale by a per-family Platt
- Normalisation, declared before any run: each family's raw score is put on one scale by a per-family Platt
map (`learn.calibrate.fit_map` with its floors) fitted on training folds only. A family the training folds
cannot map does not block on that fold.
- **t_block**: one threshold on the normalised score for all families, chosen on training folds as the lowest