Transform natural-language system descriptions into formal verification models.
npx skills add https://github.com/muloka/model-check-skills --skill model-check
Please help me install this Agent Skill. Skill: model-check Source: https://github.com/muloka/model-check-skills/tree/main/model-check Command: npx skills add https://github.com/muloka/model-check-skills --skill model-check
Transforms conversational/system descriptions into formal verification models and prepares them for automated checking with tools like TLA+, Alloy, and Dafny.
Describe a small workflow with states and transitions so I can model and verify it.
High-intent search queries and answers about installing and using this skill.
A formal verification model is generated by extracting states, transitions, and constraints from your description to produce ready-to-verify specifications for tools like TLA+, Alloy, or Dafny.
You need formal verification for software workflows when you require formal guarantees by checking state machines, protocols, and relational data models against temporal or relational constraints.
Choosing between TLA+, Alloy, and Dafny depends on your properties: TLA+ handles temporal constraints, Alloy addresses relational data models, and Dafny verifies code-like constraints.
You need TLA+, Alloy, or Dafny installed to verify formal models, as the process validates tool availability and provides installation guidance before returning verification results.
A formal verification counterexample for an invalid state machine provides clear explanations and actionable execution traces showing exactly how the specified workflow violates the defined constraints.
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