codegen-disciplined

Coordinate sandboxed code edits with read-before-edit, planning, and verification.

9|3|Updated Nov 1, 2025
One-click install
npx skills add https://github.com/AltairaLabs/PromptKit --skill codegen-disciplined
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: codegen-disciplined
Source: https://github.com/AltairaLabs/PromptKit/tree/main/benchmarks/codegen-eval/skills/codegen-disciplined
Command: npx skills add https://github.com/AltairaLabs/PromptKit --skill codegen-disciplined

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a disciplined workflow for generating and modifying code inside a container sandbox, ensuring safe edits and reproducible results for agents.

Core Features & Use Cases

  • Read before Edit: Inspect files before making changes to prevent unintended edits.
  • Plan multi-step work: Break complex tasks into ordered steps and track progress.
  • Verify before done: Run tests, lint, and type checks to confirm correctness before completion.
  • Controlled workflow: Enforce red-team style verification and deterministic tool calls within a sandbox to reduce regression risk.

Quick Start

Seed the task, edit code inside the sandbox, then run tests and verify results.

Frequently Asked Questions about codegen-disciplined

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

FAQPage Schema
How do I prevent unintended edits when using AI code generation in a sandbox?

Disciplined code generation enforces a read-before-edit rule, multi-step planning, and post-change verification using tests, lint, and type checks. This red/green verification cycle prevents unsafe edits and reduces regression risk inside a sandboxed environment.

How do I verify code correctness before declaring an AI codegen task done?

Verify code correctness before completion by running tests, lint, and type checks within the sandbox. This red/green verification cycle confirms that changes produce small, focused diffs without introducing regressions before the task is marked done.

What is the best way to plan complex code modification tasks for an AI agent?

Break complex code modification tasks into ordered, multi-step work and track progress systematically. This disciplined workflow enforces deterministic tool calls within a sandbox, reducing regression risk and ensuring small, focused diffs.

Does disciplined code generation work without a sandbox environment?

Disciplined code generation is designed to coordinate workflows inside a container sandbox to prevent unsafe edits. Without a sandboxed environment, the controlled workflow and deterministic tool calls required for safe, reproducible results are not guaranteed.

Why do I need to read files before editing code in a sandbox?

Reading files before editing prevents unintended edits and ensures safe modifications. This read-before-edit rule is a core feature of the disciplined code generation workflow, enabling reproducible results for agents operating inside a sandbox.