Agent skill · AI & Agents

formal-logic-reasoner

Skill for formal logical reasoning and argument validation

a5c-aigithub.com/a5c-aiGitHub ↗
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill formal-logic-reasoner --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: -Bash-Read-Write
Path: library/specializations/domains/science/scientific-discovery/skills/formal-logic-reasoner/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Formal Logic Reasoner Skill ## Purpose Apply formal logic for argument validation, logical consistency checking, and deductive reasoning in scientific contexts. ## Capabilities - Formalize arguments - Check logical validity - Identify fallacies - Perform deductive reasoning - Validate proof structures - Generate logical conclusions ## Usage Guidelines 1. Parse argument structure 2. Formalize propositions 3. Apply inference rules 4. Check validity 5. Identify issues 6. Report conclusions ## Process Integration Works within scientific discovery workflows for: - Argument validation - Theory consistency checking - Logical analysis - Proof verification ## Configuration - Logic system selection - Formalization rules - Validation criteria - Output formatting ## Output Artifacts - Formalized arguments - Validity assessments - Fallacy reports - Logical analyses

What's inside
Steps it walks through
  1. Purpose
  2. Capabilities
  3. Usage Guidelines
  4. Process Integration
  5. Configuration
  6. Output Artifacts
More from babysitter
All skills →
About this skill
What does the formal-logic-reasoner skill do?

Skill for formal logical reasoning and argument validation

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill formal-logic-reasoner --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going