XertroV

Rationality

Professionalv0.1.0
By XertroVUpdated 2026-05-17rationality@clawhub_xertrov/rationality
Academic ResearchRisk Control

According to AlphaMoat, as of 2026-09, Rationality has 4,275 downloads and 2 stars — ranked #2,310 of 5,078 AI skills overall, and #190 of 465 in Professional.

Installs
119
Downloads
4.3K
Stars
2
Overall Rank
#2,310
Top 46% overall · Top 41% in Professional
PlatformInstallsDownloadsStarsComments
ClawHub ↗1193.5K2-
SkillHub ↗1194.3K2—

Platforms count differently. AlphaMoat’s totals use the higher figure across platforms, not the sum.

What this skill does

Starts with the idea, goal and context, looks for decisive failures and checks whether complexity exceeds error-correction capacity. It also sets paths for receiving criticism and revising ideas.

Profile published 2026-10-26

What you can do with it

  • Clarify a proposal’s goal and decisive counterexamples

When to use it

  • When a decision or debugging discussion keeps looping

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Review this proposal’s goal, context and failure reasons with the framework

Monthly Trend

Installs119
-64128Current methodLegacy method2026-05 · Installs 9 (Legacy method)2026-06 · Installs 119 (Legacy method)2026-07 · Installs 119 (Legacy method)2026-08 · Installs 119 (Legacy method)2026-09 · Installs 11926-0526-09
Downloads4.3K
3.0K3.7K4.4KCurrent methodLegacy method2026-05 · Downloads 3.1K (Legacy method)2026-06 · Downloads 3.2K (Legacy method)2026-07 · Downloads 3.5K (Legacy method)2026-08 · Downloads 3.6K (Legacy method)2026-09 · Downloads 4.3K26-0526-09
Stars2
123Current methodLegacy method2026-05 · Stars 2 (Legacy method)2026-06 · Stars 2 (Legacy method)2026-07 · Stars 2 (Legacy method)2026-08 · Stars 2 (Legacy method)2026-09 · Stars 226-0526-09

From 2026-09 the figures use the current method (full catalog). Earlier months use the legacy method (only skills with installs, same-name skills merged). The two are not directly comparable, so the chart does not connect them or compute growth across them.

MonthDownloadsMoMStarsInstalls
2026-094.3K—2119
2026-08Legacy method3.6K+3.6%2119
2026-07Legacy method3.5K+8.4%2119
2026-06Legacy method3.2K+3.8%2119
2026-05Legacy method3.1K—29

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

Show original (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.*
Other files archived by AlphaMoat (fetched selectively, may be incomplete)
  • patterns/overreach.md · 2.3 KB
  • skill-card.md · 2.7 KB

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Data month: 2026-09 · Downloads, stars and installs are aggregated monthly from public skill registries (ClawHub, SkillHub). See methodology.