yogsoth-ai/de-anthropocentric-research-engine

detect-breakpoint

Locate the point or region where performance/validity changes regime or the claim flips.

Ver código fuente

Cómo usar

  1. Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
  2. Consulta las herramientas, credenciales y entornos necesarios en el documento original.
  3. Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill detect-breakpoint

Antes de empezar

  • La instalación no incluye suscripción al modelo, cuota API ni permisos sobre tus archivos.
  • Las estrellas e instalaciones reflejan actividad, no una prueba independiente de calidad o seguridad.
Documento original del Skill

Contenido del repositorio de origen con títulos, ejemplos, código, tablas, enlaces e imágenes preservados.

detect-breakpoint

Purpose

Locate the point or region where performance, validity, or a claim changes regime.

Input contract

yaml
required: [ordered_observations, target_metric, flip_or_regime_rule]
optional: [candidate_axis, smoothing_rule, uncertainty_bounds]
constraints: [ordering and metric direction are explicit]

Procedure

  1. Sort observations along the declared axis and validate comparability.
  2. Detect abrupt flips, slope changes, saturation, or regime transitions.
  3. Estimate boundary region and attach uncertainty.
  4. Return witness observations and follow-up tests.

Output contract

yaml
produces: [breakpoint_region, regime_label, witness_observations, uncertainty, follow_up_tests]
delta_fields: [findings, uncertainties, open_questions]

Quality gates

  • A breakpoint requires observations on both sides or an explicit one-sided limitation.
  • Metric direction and flip rule are declared before detection.
  • Smoothing or interpolation never replaces raw witnesses.

Parameterization

Caller supplies observation schema, axis ordering, metric, flip/regime rule, smoothing, and uncertainty policy.

Failure and counterexamples

Reject boundaries inferred from unvalidated ordering, single noisy points, or hidden smoothing.

Provenance map

  • concept: stress-test/breakpoint-detection
  • concept: deep-insight/controlled-perturbation
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