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hate

从承重假设入手,沿事实可能为假、事后叙事、错误类比、依赖尚未出现的结果、所述原理与实现相悖、数据泄漏、统计功效与多重比较等轴攻击整个方案,再把攻击收敛为单一根本反对意见,并给出成本低于原方案、可在重投入前执行的最便宜证伪实验;只返回 root 与 first_nail,不返回清单,也不提供改进建议。

LilMGenius
热度 0.00
最近更新 2026-10-18 16:01:10
分类:数据依赖:纯提示词应用场景:研究 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add lilmgenius/paperthin/hate
Metadata
name
hate
disable-model-invocation
true
description
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. User-invoked on purpose: a hate-it reflex always in the agent's reach would bias it toward demolition. Weighs many failure axes but owns the synthesis to one root.

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.