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mtsatryan
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autospec

Synthesize formal specifications with confidence scores and verification status from code behavior.

1|Updated Apr 23, 2026
Search Tags:#specification#preconditions#postconditions#theorem-proving#formal-verification#loop-invariants
One-click install
npx skills add https://github.com/mtsatryan/openclaw-ai-agents --skill autospec
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: autospec
Source: https://github.com/mtsatryan/openclaw-ai-agents/tree/main/autospec
Command: npx skills add https://github.com/mtsatryan/openclaw-ai-agents --skill autospec

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

AutoSpec automates the generation of formal specifications such as preconditions, postconditions, loop invariants, and formal contracts to support verification-driven development.

Core Features & Use Cases

  • Automatic precondition synthesis
  • Postcondition generation from code behavior
  • Loop invariant inference
  • Formal contract specification and verification-driven development
  • Supports multiple verification tools (Dafny, Frama-C, SPARK Ada, JML, Spec#)
  • Applies to languages like Java, C/C++, Python, Rust, Ada
  • Use Case: A software team wants to derive specs for a legacy codebase to enable formal verification.

Quick Start

Provide a codebase context to AutoSpec and run the synthesis to generate and verify formal specifications.

Frequently Asked Questions about autospec

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically generate formal specifications from existing source code?▼

Synthesizing loop invariants and formal contracts for legacy codebases enables verification-driven development by analyzing code behavior to output preconditions and postconditions. AutoSpec provides these generated specifications alongside verification status to guide integration and testing.

Does formal specification synthesis work with C, Python, and Java codebases?▼

Formal specification synthesis supports Java, C/C++, Python, Rust, and Ada codebases. AutoSpec targets contract-based design workflows across these languages and integrates with verification tools including Dafny, Frama-C, SPARK Ada, JML, and Spec#.

What are preconditions and postconditions in verification-driven development?▼

Preconditions and postconditions in verification-driven development are formal contracts defining required input states and guaranteed output states. AutoSpec automates synthesizing these contracts, alongside loop invariants, from code behavior to enable formal verification for safety-critical systems.

How do I verify loop invariants for safety-critical systems using formal contracts?▼

Verifying loop invariants for safety-critical systems using formal contracts involves synthesizing specifications from code behavior and checking them against verification tools. AutoSpec outputs specs with confidence scores, coverage metrics, and verification status to guide this contract-based design workflow.

Can I use Dafny or Frama-C for automated precondition and postcondition generation?▼

You can use Dafny, Frama-C, SPARK Ada, JML, and Spec# for automated precondition and postcondition generation workflows. AutoSpec supports these verification tools to synthesize formal contracts from code behavior across multiple programming languages.

What are the limitations of automated formal specification synthesis?▼

Limitations of automated formal specification synthesis include the need for sufficient codebase context to infer accurate loop invariants and contracts. AutoSpec mitigates this by providing confidence scores, coverage metrics, and verification status to guide integration and testing of the generated specifications.

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