What is an AST check?

An Abstract Syntax Tree (AST) check analyzes the underlying structure of source code rather than just its text or execution output, allowing for precise verification of coding patterns and syntax.

Can I check for specific Python version features?

Yes, by using AST analysis, you can specifically check for features like the | union operator introduced in Python 3.10 versus older Optional syntax.

Why should I use AST checks for AI-generated code?

AST checks provide a programmatic way to ensure that AI-generated code follows your specific project standards, such as using modern type hints or avoiding specific anti-patterns, without manual review.

Does this skill help with testing the evaluation logic itself?

Absolutely. The skill includes a specific process for writing and running comprehensive tests for your AST helper functions to ensure your evaluation metrics are accurate.

Where are these checks typically implemented?

They are usually integrated into a dedicated evaluation directory within your project, organized into helpers, check definitions, and a main execution script.

Python AST Code Evaluator

Name: Python AST Code Evaluator
Author: jack-michaud

byjack-michaud

•

セキュリティとテスト

Automates the creation of Abstract Syntax Tree (AST) based checks to evaluate the quality and compliance of AI-generated Python code.

The writing-ast-check skill provides a standardized framework for developers to implement rigorous structural code analysis within their AI evaluation pipelines. By leveraging Abstract Syntax Tree (AST) analysis, this skill allows users to programmatically verify that generated Python code adheres to specific syntactic standards, such as modern type hinting (e.g., using union types instead of Optional) or the exclusion of deprecated patterns. It guides the user through a complete lifecycle of check definition, helper module creation, integration into evaluation results, and validation through comprehensive testing, ensuring high-quality and reliable AI-generated output.

主な機能

01Support for verifying modern Python 3.10+ syntax compliance

02Define custom syntactic acceptance criteria for Python code

03Create modular AST helper functions for deep code analysis

04Integrate automated quality checks into EvalResult reporting

05Standardized workflow for testing and validating evaluation logic

063 GitHub stars

ユースケース

01Enforcing modern Python syntax standards across AI-generated codebases

02Verifying the correct implementation of specific architectural patterns or library usage

03Building automated benchmarking tools to measure LLM code generation performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jack-michaud/faire writing-ast-check

For use in Claude.ai and ChatGPT

Download Skill