XertroV

Rationality

专业领域v0.1.0
作者:XertroV更新于 2026-05-17rationality@clawhub_xertrov/rationality
科研学术风险风控

据 AlphaMoat 统计,截至 2026-09,Rationality 累计下载 4,275 次、获 2 个星标,在全部 5,078 个 AI 技能中排名第 2,310 位,在「专业领域」分类(465 个)中排名第 190 位。

累计安装
119
累计下载
4,275
星标
2
全站排名
#2,310
全站前 46% · 「专业领域」前 41%
平台累计安装累计下载星标评论
ClawHub ↗1193,5412-
SkillHub ↗1194,2752—

各平台的计数口径不同,站内汇总取各平台中的较大值,不相加。

这个技能是做什么的

从想法、目标、语境出发,寻找会使方案失败的关键反例,检查任务是否超出纠错能力,并建立接收批评与修正的路径。

资料发布于 2026-10-26

可以用来做什么

  • 梳理方案的目标和关键反例

什么时候用

  • 决策或调试陷入反复争论时

示例提示词

以下是根据技能文档生成的示例,不代表实际运行结果。

用这个框架检查方案的目标、语境和失败原因

月度数据趋势

累计安装119
-64128新口径旧口径2026-05 · 累计安装 9 (旧口径)2026-06 · 累计安装 119 (旧口径)2026-07 · 累计安装 119 (旧口径)2026-08 · 累计安装 119 (旧口径)2026-09 · 累计安装 11926-0526-09
累计下载4,275
2,9713,6724,372新口径旧口径2026-05 · 累计下载 3,068 (旧口径)2026-06 · 累计下载 3,186 (旧口径)2026-07 · 累计下载 3,453 (旧口径)2026-08 · 累计下载 3,578 (旧口径)2026-09 · 累计下载 4,27526-0526-09
星标2
123新口径旧口径2026-05 · 星标 2 (旧口径)2026-06 · 星标 2 (旧口径)2026-07 · 星标 2 (旧口径)2026-08 · 星标 2 (旧口径)2026-09 · 星标 226-0526-09

2026-09 起为新口径(全目录统计);此前为旧口径(只统计安装量为正的技能、同名技能合并计数)。两段不可直接比较,图中不跨口径连线,也不计算跨口径的增长。

月份累计下载环比星标累计安装
2026-094,275—2119
2026-08旧口径3,578+3.6%2119
2026-07旧口径3,453+8.4%2119
2026-06旧口径3,186+3.8%2119
2026-05旧口径3,068—29

SKILL.md 原文

以下是作者发布的原始文件,按纯文本显示,本站未做修改或审核;其中的链接不可点击,命令请核实后再运行。抓取于 2026-10-23。

展开原文(3.2 KB · ClawHub v0.1.0)
# Rationality Skill (Critical Fallibilism)

The Rationality skill provides a structured framework for thinking, decision-making, and error correction based on the principles of **Critical Fallibilism (CF)**. Unlike traditional rationality which often relies on "weighing" evidence, CF focuses on binary evaluation, error detection, and managing the limits of human (and AI) cognition.

## Quick Start
1.  **Define your IGC Triple:** What is the **Idea**, the specific **Goal**, and the **Context**?
2.  **Translate to Binary:** Don't ask "how good" an idea is. Ask: "Is there a decisive reason this idea fails at the goal?"
3.  **Check for Overreach:** Is the complexity of the task exceeding your ability to detect and fix errors? (See `patterns/overreach.md`).
4.  **Seek Criticism:** Treat every error found as a gift—a specific piece of knowledge that allows you to improve.

## Core Principles

### 1. The Pledge (Honesty)
Always be willing to follow the truth wherever it leads. Never suppress a criticism or intuition just because it is inconvenient or socially awkward.

### 2. Binary Evaluation
Knowledge is digital, not analog. Ideas are either **refuted** (they have a known flaw that makes them fail their goal) or **non-refuted**. We do not use "weights," "scores," or "probabilities" to judge ideas. One decisive criticism is enough to reject an idea.

### 3. Criticism as Gift
Errors are inevitable. The only way to improve is to find them. Therefore, criticism is the most valuable input for growth. We don't defend ideas against criticism; we use criticism to filter out errors.

### 4. Ideas Over Identity
Separate your "self" from your ideas. If an idea you hold is refuted, it is the idea that failed, not you. This prevents defensive reactions that block learning.

### 5. Overreach Awareness
Error correction is a limited resource. If you take on tasks that are too complex, you will create errors faster than you can fix them. This is **Overreach**. When you overreach, you must stop, simplify, and revert.

### 6. Paths Forward
You must maintain "Paths Forward" for error correction. This means having a policy for how external criticism (from users or other agents) is handled so that errors can be fixed without infinite effort.

## Directory Structure
- `frameworks/`: Core algorithms for thinking and deciding.
- `patterns/`: Recognizable mental models and common failures.
- `templates/`: Practical tools and checklists for daily use.

## When to Use This Skill
- **High-Stakes Decisions:** When you can't afford a "good enough" guess.
- **Complex Debugging:** When you are stuck in a loop or compounding errors.
- **Resolving Disagreements:** When you need a structured way to move past "he said / she said."
- **Self-Regulation:** To monitor your own reasoning for bias or overreach.

## Philosophy Foundation
This skill is based on Critical Fallibilism, which synthesizes:
- **Popperian Epistemology:** Knowledge grows through conjecture and refutation.
- **Theory of Constraints (Goldratt):** Focus on bottlenecks; ignore excess capacity.
- **Objectivism (Rand):** Reason as an absolute; importance of definitions and context.

---
*Note: This skill is optimized for AI operational use. For deep theoretical study, see memory/philosophy/CF-concepts.md.*
本站存档的其他文件(按需抓取,可能不完整)
  • patterns/overreach.md · 2.3 KB
  • skill-card.md · 2.7 KB

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