Cómo usar
- Copia el comando y revisa el paquete antes de instalarlo en tu entorno de agente.
- Consulta las herramientas, credenciales y entornos necesarios en el documento original.
- Describe las entradas y el resultado deseado; contrasta la salida con las fuentes.
npx skills add https://github.com/backnotprop/pstack --skill principle-attack-the-premiseAntes 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.
Attack the Premise
When two or more fixes that share one premise have failed the same gate, suspect the premise, not the fixes.
Why: Each failed fix is evidence against the belief it assumed. A third fix on the same premise spends effort where the evidence already says the cause is not.
Pattern:
- Write the premise down. The premise is the one sentence that every failed fix assumed.
- Test the premise before the next fix. Find an observation that would come out differently if the premise were false, and make it. Look at how the failures are distributed, not only at how large they are. Make the check rerunnable per Build the Lever.
- Follow the evidence. If it contradicts the premise, the cause is elsewhere. Look for what the failures have in common that the premise did not predict. If it confirms the premise, ask the next "why" per Fix Root Causes. The earlier fixes may have treated a consequence instead of the cause.
- Remove the condition instead of compensating for it, per the Laziness Protocol. If the evidence shows that one part always lands on the losing side, change what puts it there. A mechanism that cleans up after it leaves the cause in place and adds work on every run.
Stop: Do not start the next fix before the premise is written down and tested.
This principle is distinct from Redesign from First Principles, which rebuilds a design around a new requirement. It questions a fact the current design assumes.
