termination-analyzer
Prove termination of algorithms and programs using ranking functions and well-founded orderings
npx skills add a5c-ai/babysitter --skill termination-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.
# Termination Analyzer ## Purpose Provides expert guidance on proving termination of algorithms through ranking functions, well-founded orderings, and automated analysis. ## Capabilities - Identify ranking/variant functions automatically - Prove well-founded orderings - Handle mutual recursion - Detect potential non-termination - Generate termination certificates - Analyze complex control flow ## Usage Guidelines 1. **Structure Analysis**: Identify recursive calls and loop structures 2. **Ranking Function**: Find or construct appropriate ranking function 3. **Ordering Proof**: Prove well-foundedness of the ordering 4. **Certificate Generation**: Generate formal termination proof 5. **Non-termination Detection**: Flag potential infinite loops ## Tools/Libraries - AProVE - T2 - Ultimate Automizer - SMT solvers
- Purpose
- Capabilities
- Usage Guidelines
- Tools/Libraries
What does the termination-analyzer skill do?
Prove termination of algorithms and programs using ranking functions and well-founded orderings
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill termination-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.