memory-model-analyzer
Analyze programs under various memory models for concurrent correctness
Profile →npx skills add a5c-ai/babysitter --skill memory-model-analyzer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Memory Model Analyzer ## 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 1. **Model Selection**: Identify relevant memory model 2. **Analysis**: Check program behavior under model 3. **Barrier Placement**: Determine required fences/barriers 4. **Race Detection**: Find data races 5. **Verification**: Verify correct synchronization ## Tools/Libraries - CDSChecker - GenMC - CBMC - herd7
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the memory-model-analyzer skill do?
Analyze programs under various memory models for concurrent correctness
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill memory-model-analyzer --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.