Invariant Analyzer Skill

SkillDev tools

Identify and verify loop invariants for correctness proofs

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Invariant Analyzer Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/algorithms-optimization/skills/invariant-analyzer/SKILL.md and read by ahel’s review.

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

  1. Initialization: True before first iteration
  2. Maintenance: If true before iteration, true after
  3. 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"]
}

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
invariant-analyzer
Source
github.com/a5c-ai/babysitter