logos

Map argument structures, identifying premises, conclusions, inference chains, and logical gaps.

4|2|Updated Dec 31, 2025
One-click install
npx skills add https://github.com/TylerGarlick/abraxas --skill logos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: logos
Source: https://github.com/TylerGarlick/abraxas/tree/main/skills/logos
Command: npx skills add https://github.com/TylerGarlick/abraxas --skill logos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill tackles the problem of invisible structural weakness in arguments, where LLMs generate confident conclusions from flawed reasoning, missing premises, or hidden assumptions. It makes argument structure visible for analysis.

Core Features & Use Cases

  • Argument Mapping: Visualize premises, conclusions, and inference chains.
  • Gap Identification: Uncover missing evidence, unstated assumptions, and logical leaps.
  • Falsification Testing: Actively seek conditions that would disprove an argument.
  • Use Case: Before engaging in a debate or accepting a complex claim, use Logos to map its structure, identify its weakest points, and ensure its logical integrity.

Quick Start

Use the logos skill to map the argument structure of the following claim: "The sky is blue because of Rayleigh scattering."

Frequently Asked Questions about logos

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I map the structure of an argument to find hidden assumptions?

Argument mapping visualizes premises, conclusions, and inference chains to expose hidden assumptions. By dissecting the logical structure, you can identify unstated premises and logical gaps that weaken the overall reasoning of a claim before accepting it.

What is falsification testing in critical thinking and logic analysis?

Falsification testing actively seeks conditions that would disprove an argument. It serves as a pre-analysis layer for adversarial testing, ensuring logical soundness and testability by identifying the weakest points where a claim might fail under scrutiny.

How do I identify logical gaps and missing premises in a complex claim?

Identifying logical gaps requires analyzing inference chains to uncover missing evidence and unstated assumptions. Gap analysis isolates structural weaknesses where conclusions are generated from flawed reasoning, making the argument's logical leaps visible for correction.

Can fallacy detection be automated for argument analysis and reasoning?

Fallacy detection is supported through structural argument mapping and gap analysis. By breaking down premises and inference chains, the mechanism surfaces logical leaps and missing evidence, acting as a pre-analysis layer to ensure claims are logically sound.

Does this argument mapping approach work for evaluating debate claims and positions?

Argument mapping suits debate preparation by dissecting complex claims into premises, conclusions, and hidden assumptions. It provides epistemic labeling and falsification testing to ensure the logical integrity of positions before engaging in adversarial debate scenarios.