agentsclimarketplace

Invariant analyzer

Skill a5c-ai/babysitter/library/specializations/algorithms-optimization/skills/invariant-analyzer

Identify and verify loop invariants for correctness proofsFrom its SKILL.md

Install
npx -y skills add a5c-ai/babysitter --skill invariant-analyzer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

1.8 KB, 375 tokens by cl100k_base, as published. Nobody here has run it

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

  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"]
}

What ships with it: 1 file

581 B alongside SKILL.md

Keep looking

Skills are one crate of 326,059. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.