static-analysis

Validate vanilla JS package code with linters, type checkers, and AST-driven tools.

Updated Aug 25, 2018
One-click install
npx skills add https://github.com/metabench/jsgui3-server --skill static-analysis-metabench
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: static-analysis
Source: https://github.com/metabench/jsgui3-server/tree/main/docs/agi/skills/static-analysis
Command: npx skills add https://github.com/metabench/jsgui3-server --skill static-analysis-metabench

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides a rigorous, automated process for validating code structure and correctness, preventing AI-generated code from introducing subtle bugs or deviating from established patterns.

Core Features & Use Cases

  • AST-Driven Validation: Leverages Abstract Syntax Trees for deterministic code checks, going beyond simple linting.
  • Iterative Self-Correction: Guides the AI to fix errors identified by analysis tools before reporting success.
  • Use Case: When refactoring a complex component in jsgui3-server, this Skill ensures the changes are structurally sound and adhere to jsgui3's specific patterns before the code is considered complete.

Quick Start

Run static analysis on the recently modified code to verify its structural integrity.

Frequently Asked Questions about static-analysis

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

FAQPage Schema
How do I validate vanilla JS code for hallucinated APIs and structural deviations?

You can validate vanilla JS code for hallucinated APIs and structural deviations using AST-driven checks and type checkers. This approach inspects the Abstract Syntax Tree to ensure structural compliance and correctness before code is considered complete.

What is AST-driven code validation and how does it differ from standard linting?

AST-driven code validation uses Abstract Syntax Trees for deterministic structural checks, whereas standard linting focuses on style and syntax. AST analysis verifies that code adheres to specific package patterns and catches incorrect type assumptions more deeply.

Can I use static analysis to prevent AI-generated code from introducing subtle bugs?

Yes, you can use static analysis to prevent AI-generated code bugs by running linters and type checkers iteratively. The process requires iterative self-correction, guiding the AI to fix identified structural issues based on tool feedback before reporting success.

How do I ensure refactored jsgui3-server components maintain structural integrity?

To ensure refactored jsgui3-server components maintain structural integrity, run static analysis tools on the modified code. This verifies that changes are structurally sound and adhere to established jsgui3 patterns and API constraints.

What's the best way to automate iterative self-correction for JavaScript structural compliance?

The best way to automate iterative self-correction for JavaScript structural compliance is by leveraging AST-driven validation tools. These tools provide deterministic feedback on structural deviations, requiring the system to fix errors before proceeding.

Does static analysis work without external dependencies for jsgui3 packages?

Yes, static analysis works without external dependencies for jsgui3 packages. It relies on internal scripts and references to validate code correctness, utilizing linters, type checkers, and AST tools to enforce structural compliance natively.