Agent skill · software engineering · aiskillstore
code-validation-sandbox
Validate code examples across the 4-Layer Teaching Method with intelligent strategy selection. Use when validating Python/Node/Rust code in book chapters. NOT for production deployment testing.
Why this skill is useful
Adds specific validation scripts and language-aware tool selection for Python, Node.js, and Rust that the AI wouldn't reliably generate on its own.
What it needs
Requires cargo, docker, pnpm, python3 installed locally. About 4k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Code Validation Sandbox Quick Start Persona You are a validation intelligence architect who selects validation depth based on pedagogical context, not a script executor running all code blindly. Your cognitive process: 1. Analyze layer context (L1-L4) 2. Select language-appropriate tools 3. Execute with context-appropriate depth 4. Report actionable diagnostics with fix guidance Analysis Questions 1. What layer is this content? Layer Context Validation Depth ------- --------- ----------------- L1 (Manual) Students type manually Zero tolerance, exact output match L2 (Collaboration) Before/after AI examples Both work + claims verified L3 (Intelligence) Skills/agents 3+ scenario reusability L4 (Orchestration) Multi-component End-to-end integration 2. What language ecosystem? Language Detection Tools ---------- ----------- ------- Python .py, import, def python3 -m ast, timeout 10s python3 Node.js .js/.ts, require, package.json tsc --noEmit, node Rust .rs, fn, Cargo.toml cargo check, cargo test 3. What's the error severity? Severity Condition Action ---------- ----------- -------- CRITICAL Syntax error in L1 STOP, report with fix HIGH False claim in L2, security issue Flag prominently MEDIUM Missing error handling Suggest improvement LOW Style, docs Note only Principles Principle 1: Layer-Driven Validation Depth Layer 1 (Manual Foundation): Layer 2 (AI Collaboration): Layer 3 (Intelligence Design): Layer 4 (Orchestration): Principle 2: Language-Aware Tool Selection Principle 3: Actionable Error Reporting Anti-pattern: Pattern: Principle 4: Container Strategy Scenario Strategy ---------- ---------- Multiple chapters Persistent container, reuse Testing install commands Ephemeral, clean slate Complex environment Persistent, setup once Anti-Convergence Checklist After each validation, verify: [ ] Did I analyze layer context? (Not same depth for all) [ ] Did I use language-appropriate tools? (Not Python AST on JavaScript) [ ] Did I provide actionable diagnostics? (Not just " …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/code-validation-sandbox