loop-invariant-generator
Automatically generate and verify loop invariants for algorithm correctness proofs
Profile →npx skills add a5c-ai/babysitter --skill loop-invariant-generator --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.
# Loop Invariant Generator ## Purpose Provides expert guidance on generating and verifying loop invariants for algorithm correctness proofs using formal methods. ## Capabilities - Infer candidate loop invariants from code structure - Verify initialization, maintenance, and termination conditions - Generate formal proof templates - Handle nested loops and complex data structures - Export to theorem provers (Dafny, Why3) - Suggest invariant strengthening ## Usage Guidelines 1. **Code Analysis**: Analyze loop structure and identify key properties 2. **Candidate Generation**: Generate candidate invariants from code patterns 3. **Verification**: Check initialization, maintenance, termination 4. **Strengthening**: Refine invariants to prove desired properties 5. **Export**: Generate proof obligations for theorem provers ## Tools/Libraries - Dafny - Why3 - SMT solvers (Z3, CVC5) - Static analysis frameworks
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the loop-invariant-generator skill do?
Automatically generate and verify loop invariants for algorithm correctness proofs
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill loop-invariant-generator --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.