Verify finite-state systems with SAT/SMT solvers and generate counterexamples.
npx skills add https://github.com/rainoftime/pl-skills --skill model-checker
Please help me install this Agent Skill. Skill: model-checker Source: https://github.com/rainoftime/pl-skills/tree/main/model-checker Command: npx skills add https://github.com/rainoftime/pl-skills --skill model-checker
This Skill addresses the challenge of ensuring the correctness and reliability of concurrent programs, hardware designs, and communication protocols by systematically exploring their state spaces.
Use the model-checker skill to verify that the invariant 'x > 0' holds for the given concurrent program model within a bound of 10.
High-intent search queries and answers about installing and using this skill.
Bounded model checking encodes state transitions and unwinds loops for bounded exploration, using SAT/SMT solvers to systematically explore state spaces and find property violations within a specified execution bound.
Yes, you can use Z3 solver to check safety and liveness properties in hardware designs. The Skill uses Z3 for symbolic state representation and constraint solving to verify invariants and reachability.
To find race conditions or deadlocks in multi-threaded applications, the model checker systematically explores interleavings to identify scenarios that trigger bugs, generating counterexamples for property violations.
Yes, you need Python and the Z3 solver installed to run protocol verification. The Skill requires the z3-solver dependency for symbolic state representation and constraint solving during bounded model checking.
Checking safety properties verifies invariants that must always hold, while checking liveness properties verifies reachability conditions that must eventually occur. The model checker evaluates both within bounded execution limits.
Model checking fails to find bugs beyond the specified execution bound because bounded model checking only explores state spaces up to a set limit, meaning violations requiring deeper execution depths remain undetected.
rainoftimeBuild symbolic execution engines in Python and Z3 for test generation and bug detection.
ArabelaTsoRepair temporal property violations using model-checking counterexamples.
dtsongGenerate TLA+ specifications with state variables, invariants, and temporal logic conditions.
santosomarExtract finite-state SMV models from source code for formal verification.
