fallacy-detection-analysis

Identify formal and informal logical fallacies in arguments, classify fallacy types, and explain precisely why reasoning fails with reference to logical principles

509 stars

Best use case

fallacy-detection-analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Identify formal and informal logical fallacies in arguments, classify fallacy types, and explain precisely why reasoning fails with reference to logical principles

Teams using fallacy-detection-analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/fallacy-detection-analysis/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/social-sciences-humanities/philosophy/skills/fallacy-detection-analysis/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/fallacy-detection-analysis/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How fallacy-detection-analysis Compares

Feature / Agentfallacy-detection-analysisStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Identify formal and informal logical fallacies in arguments, classify fallacy types, and explain precisely why reasoning fails with reference to logical principles

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Fallacy Detection and Analysis Skill

Identify and analyze logical fallacies in arguments with precise classification and explanation of reasoning failures.

## Overview

The Fallacy Detection and Analysis skill enables identification of formal and informal logical fallacies in arguments, precise classification of fallacy types, clear explanation of why reasoning fails with reference to logical principles, and development of sound reasoning practices.

## Capabilities

### Formal Fallacy Detection
- Identify invalid argument forms
- Recognize affirming the consequent
- Detect denying the antecedent
- Identify undistributed middle
- Analyze quantifier errors

### Informal Fallacy Detection
- Recognize relevance fallacies
- Identify presumption fallacies
- Detect ambiguity fallacies
- Recognize emotional appeals
- Identify causal fallacies

### Fallacy Classification
- Apply standard taxonomies
- Distinguish fallacy types
- Identify overlapping categories
- Document classification reasoning
- Use precise terminology

### Reasoning Analysis
- Explain why arguments fail
- Reference logical principles
- Provide clear examples
- Suggest corrections
- Teach sound reasoning

### Critical Application
- Apply to real arguments
- Analyze texts systematically
- Evaluate public discourse
- Improve own reasoning
- Teach critical thinking

## Usage Guidelines

### When to Use
- Analyzing arguments
- Teaching critical thinking
- Reviewing manuscripts
- Evaluating discourse
- Improving reasoning

### Best Practices
- Apply classifications carefully
- Explain failures clearly
- Avoid fallacy hunting
- Consider context
- Teach constructively

### Integration Points
- Argument Mapping and Reconstruction skill
- Formal Logic Analysis skill
- Evidence and Justification Assessment skill
- Socratic Dialogue Facilitation skill

## References

- Fallacy Identification and Classification process
- Argument Reconstruction and Analysis process
- Critical Thinking Assessment process
- Logic Analyst Agent
- Critical Thinking Educator Agent

Related Skills

heatmap-analysis

509
from a5c-ai/babysitter

Analyze user interaction heatmaps for attention patterns and click behavior

static-analysis-runner

509
from a5c-ai/babysitter

Run static analysis tools including SonarQube, ESLint, and multi-language linters

Static Analysis Tools Skill

509
from a5c-ai/babysitter

Integration with security-focused static analysis tools

Smart Contract Analysis Skill

509
from a5c-ai/babysitter

Ethereum and blockchain smart contract security analysis

Network Protocol Analysis Skill

509
from a5c-ai/babysitter

Network protocol capture, analysis, and fuzzing capabilities

secret-detection-scanner

509
from a5c-ai/babysitter

Detect secrets, credentials, and sensitive data in code and configurations. Scan git history for secrets, detect API keys, tokens, passwords, check environment files, monitor CI/CD logs for exposure, generate remediation steps, and track secret rotation status.

Object Detection/Segmentation Skill

509
from a5c-ai/babysitter

Deep learning based object detection and segmentation for robotics applications

Code Coverage Analysis

509
from a5c-ai/babysitter

Multi-language code coverage analysis, reporting, and quality gate enforcement

memlab-analysis

509
from a5c-ai/babysitter

Expert skill for JavaScript memory leak detection using Facebook MemLab. Configure MemLab scenarios, execute memory leak detection runs, analyze heap snapshots, identify detached DOM elements, find event listener leaks, and integrate with CI pipelines.

gpu-memory-analysis

509
from a5c-ai/babysitter

Specialized skill for GPU memory hierarchy analysis and optimization. Analyze memory access patterns, detect bank conflicts, optimize cache utilization, profile global memory bandwidth, and generate optimized memory access code patterns.

power-analysis

509
from a5c-ai/babysitter

FPGA power estimation and optimization skill for low-power design

cdc-analysis

509
from a5c-ai/babysitter

Specialized skill for clock domain crossing analysis and synchronizer design in FPGA designs