lilmgenius/paperthin

hate

Attack a plan, design, or argument like you want it to fail before you commit real effort — return the single load-bearing objection and the cheapest experiment that would prove it matters, not a checklist.

Quelltext ansehen

Verwendung

  1. Installationsbefehl kopieren und das Quellpaket vor der Installation in der eigenen Agentenumgebung prüfen.
  2. Benötigte Werkzeuge, Zugangsdaten und Hosts im Original prüfen.
  3. Eingabe und gewünschtes Ergebnis beschreiben und die Ausgabe mit den Quellen abgleichen.
npx skills add https://github.com/lilmgenius/paperthin --skill hate

Vor dem Start

  • Die Installation umfasst weder Modellabo noch API-Kontingent oder Dateizugriffsrechte.
  • Sterne und Installationen zeigen Aktivität, keine unabhängige Qualitäts- oder Sicherheitsprüfung.
Originales Skill-Dokument

Aus dem Quell-Repository gerendert; Überschriften, Beispiele, Code, Tabellen, Links und Bilder bleiben erhalten.

Refuse to be nice to the plan — return the one objection that could kill it and the cheapest shot that proves it matters.

Goal

hate asks "what would someone who wants this to fail attack first?" (validity). It attacks the whole plan — not one fact or one line, but the load-bearing structure — and collapses the attack to a single root. The highest-value output is never a checklist — it's one objection plus the cheaper experiment hiding inside the elaborate plan.

Workflow

  1. Pin the load-bearing assumption(s) — what must hold for the whole thing to stand.
  2. Attack on whatever axes apply — the general ones first: a load-bearing fact that may be false, confabulation (a post-hoc story treated as ground truth), analogy-mistaken-for-isomorphism (structure assumed to transfer across domains where it doesn't), future-tense suture (the argument leans on a result that doesn't exist yet), and the sharpest — cites a principle but implements its opposite; and for empirical / research plans, leakage (no external ground-truth enters the validation independently) and statistical power / family-wise α (a true hypothesis auto-failing from uncorrected tests; a near-zero-power condition that rubber-stamps regardless of truth).
  3. Collapse the findings to the single root objection — the one whose failure makes the others moot.
  4. Find the first nail — the cheapest falsification of the load-bearing assumption: the check (in time / cost / sample) that could kill it before the expensive program runs.
  5. Return { root, first_nail } — not a list.

Rules

  • Attack, don't improve — improving is a different reflex.
  • Own the synthesis — many axes may fire, but collapse them to the single load-bearing root; return that, never a list.

Verification

Before finishing:

  1. The root is genuinely load-bearing — the plan falls without it.
  2. The first nail is genuinely cheaper than the plan it would pre-empt.

Verwandte Aufgaben

aus demselben Repository

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