feat(laws): v4.2.0 — laws layer de-dup, tier legibility, post-promotion audit#84
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Follow-up to "are laws the right mechanism or noise?" — investigated with measured
data + a 3-agent adversarial pass that refuted the invasive ideas (shrink, demote,
stop auto-promotion) and confirmed the surgical ones. Rationale: docs/DESIGN-laws-v4.2.md.
Fixed:
- Double injection (measured): read-instructions (41x) + pref-fix (17x) existed as
law AND active instinct. injector-engine.js now skips candidates with a laws/{id}.txt
twin; manual_swap_promote archives the source instinct like auto_promote already did.
- advisor-escalation trimmed 1505->717 chars (was 26% of the law budget).
- bash-cat-use-read v4.1.0 regression: the noise-reduction lookahead also excluded
legit targets (cat file.py | head); reverted to satisfy test_reflex_matchers contract.
Added:
- Law presentation split by tier (session-start.py + core/laws-meta.default.json):
[principios] vs [herramienta] blocks so principles aren't diluted. Backward compatible.
- law_audit() + law-audit CLI (distill_engine.py) for periodic legibility.
Rejected as misdiagnoses (adversarial): domain-scoping (payoff negligible), demoting
gotchas (trigger-miss risk), hand-curating to 5-7 (no evidence content is bad).
Full suite green (39/39). Deployed v4.1.0 -> v4.2.0 and verified end-to-end.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Origen
Pregunta de Fer: "¿son las laws la mejor forma de hacer esto, o son ruido?" Investigado con datos medidos + contra-análisis adversarial de 3 agentes que refutó las ideas invasivas (encoger a 5-7, demotar gotchas, parar auto-promoción) y confirmó las quirúrgicas. Rationale completa en
docs/DESIGN-laws-v4.2.md.Fixed
read-instructions(41 inyecciones PreToolUse redundantes) +pref-fix(17) existían como ley Y como instinct activo.injector-engine.jsahora salta candidatos con ley gemelalaws/{id}.txt;manual_swap_promotearchiva el instinct fuente como ya hacíaauto_promote_to_law(fix de raíz).advisor-escalationadelgazada 1505→717 chars (era el 26% del presupuesto de leyes).bash-cat-use-readde v4.1.0: el negative-lookahead de reducción de ruido excluía también targets legítimos (cat file.py | head,tail file.json | grep) donde Read/Grep ES mejor, rompiendo el contrato detest_reflex_matchers. Revertido en seed + live.Added
session-start.py+core/laws-meta.default.json): las leyes se renderizan en dos bloques[principios]vs[herramienta]para que los principios no se diluyan con gotchas mecánicos. Retrocompatible (sin meta → un bloque).law_audit()+ CLIlaw-audit(distill_engine.py): por ley{id, tier, age_days, dup_active_instinct, backing_instinct_noise}→.law-audit.json. Legibilidad periódica para podar leyes con datos (medir "ley seguida" es irresoluble sin trigger, confirmado por el adversarial).Rechazado como falso positivo (adversarial)
Verificación
test_reflex_matchers(28/0 tras el fix).install.sh(con seed de laws-meta en install.sh/ps1) y verificado end-to-end: dos bloques, law-audit CLI, guard del injector.🤖 Generated with Claude Code