XertroV

Rationality

專業領域v0.1.0
作者:XertroV更新於 2026-05-17rationality@clawhub_xertrov/rationality
科研學術風險風控

據 AlphaMoat 統計,截至 2026-09,Rationality 累計下載 4,275 次、獲 2 個星標,在全部 5,078 個 AI 技能中排名第 2,310 位,在「專業領域」分類(465 個)中排名第 190 位。

累計安裝
119
累計下載
4275
星標
2
全站排名
#2,310
全站前 46% · 「專業領域」前 41%
平台累計安裝累計下載星標評論
ClawHub ↗11935412-
SkillHub ↗11942752—

各平台的計數口徑不同,站內彙總取各平台中的較大值,不相加。

這個技能是做什麼的

從想法、目標、語境出發,尋找會使方案失敗的關鍵反例,檢查任務是否超出糾錯能力,並建立接收批評與修正的路徑。

資料釋出於 2026-10-26

可以用來做什麼

  • 梳理方案的目標和關鍵反例

什麼時候用

  • 決策或除錯陷入反覆爭論時

示例提示詞

以下是根據技能文件生成的示例,不代表實際執行結果。

用這個框架檢查方案的目標、語境和失敗原因

月度資料趨勢

累計安裝119
-64128新口徑舊口徑2026-05 · 累計安裝 9 (舊口徑)2026-06 · 累計安裝 119 (舊口徑)2026-07 · 累計安裝 119 (舊口徑)2026-08 · 累計安裝 119 (舊口徑)2026-09 · 累計安裝 11926-0526-09
累計下載4275
297136724372新口徑舊口徑2026-05 · 累計下載 3068 (舊口徑)2026-06 · 累計下載 3186 (舊口徑)2026-07 · 累計下載 3453 (舊口徑)2026-08 · 累計下載 3578 (舊口徑)2026-09 · 累計下載 427526-0526-09
星標2
123新口徑舊口徑2026-05 · 星標 2 (舊口徑)2026-06 · 星標 2 (舊口徑)2026-07 · 星標 2 (舊口徑)2026-08 · 星標 2 (舊口徑)2026-09 · 星標 226-0526-09

2026-09 起為新口徑(全目錄統計);此前為舊口徑(只統計安裝量為正的技能、同名技能合併計數)。兩段不可直接比較,圖中不跨口徑連線,也不計算跨口徑的增長。

月份累計下載環比星標累計安裝
2026-094275—2119
2026-08舊口徑3578+3.6%2119
2026-07舊口徑3453+8.4%2119
2026-06舊口徑3186+3.8%2119
2026-05舊口徑3068—29

SKILL.md 原文

以下是作者釋出的原始檔案,按純文字顯示,本站未做修改或稽核;其中的連結不可點選,命令請核實後再執行。抓取於 2026-10-23。

展開原文(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.*
本站存檔的其他檔案(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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