Agent skill
invariant-analyzer
Identify and verify loop invariants for correctness proofs
Install this agent skill to your Project
npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/algorithms-optimization/skills/invariant-analyzer
SKILL.md
Invariant Analyzer Skill
Purpose
Identify and verify loop invariants to help construct correctness proofs for algorithms.
Capabilities
- Automatic loop invariant inference
- Invariant verification against code
- Precondition/postcondition extraction
- Generate formal proof structure
- Identify missing invariants
Target Processes
- correctness-proof-testing
- algorithm-implementation
Invariant Analysis Framework
Loop Invariant Properties
- Initialization: True before first iteration
- Maintenance: If true before iteration, true after
- Termination: Provides useful property at end
Common Invariant Patterns
- Range invariants: "for all i in [0, k), property P(i) holds"
- Accumulator invariants: "sum equals sum of a[0..k-1]"
- Pointer invariants: "left < right and all elements < left are processed"
- State invariants: "data structure maintains property X"
Input Schema
{
"type": "object",
"properties": {
"code": { "type": "string" },
"language": { "type": "string" },
"loopIndex": { "type": "integer" },
"expectedInvariant": { "type": "string" }
},
"required": ["code"]
}
Output Schema
{
"type": "object",
"properties": {
"success": { "type": "boolean" },
"invariants": { "type": "array" },
"preconditions": { "type": "array" },
"postconditions": { "type": "array" },
"proofOutline": { "type": "string" }
},
"required": ["success"]
}
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