Memory Model Analyzer

SkillDocs & knowledge

Analyze programs under various memory models for concurrent correctness

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Memory Model Analyzer skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/computer-science/skills/memory-model-analyzer/SKILL.md and read by ahel’s review.

Purpose

Provides expert guidance on analyzing concurrent programs under various hardware and language memory models.

Capabilities

Sequential consistency checking
Total Store Order (TSO) analysis
C/C++ memory model compliance
Memory barrier insertion guidance
Race condition detection
Weak memory model reasoning

Usage Guidelines

Model Selection: Identify relevant memory model
Analysis: Check program behavior under model
Barrier Placement: Determine required fences/barriers
Race Detection: Find data races
Verification: Verify correct synchronization

Tools/Libraries

CDSChecker
GenMC
CBMC
herd7

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: memory-model-analyzer
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter