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How well do you know Codex?

Answer 15 multiple-choice questions on context, tools, permissions, and verification.

15focused questions
4knowledge dimensions
1clear level

Good outcomes start before the prompt

The assessment looks at the operating habits that turn Codex from a code generator into a reliable engineering collaborator.

Context

Give Codex the right files, constraints, and definition of done.

Recognize when missing context makes even polished output unreliable.

AGENTS.md

Encode durable repository guidance close to the code it governs.

Know how scoped instructions shape work across directories and tasks.

Tools and permissions

Match tool access and approval boundaries to the task's actual risk.

Distinguish read-only discovery from actions that change files or external systems.

Tests and human review

Treat generated changes as a proposal that still needs evidence and judgment.

Select focused tests, inspect diffs, and keep people accountable for the final decision.

Try one question

Choose the strongest workflow, then review the reasoning behind it.

Codex proposes a change that touches authentication and adds a new dependency. What is the strongest next step before merging?
Single choice

A practical path from prompting to engineering

Your level describes the habits you can apply consistently. It is not a claim about speed or seniority.

Starter

You can frame a bounded task and inspect a straightforward result.

  • States the desired outcome
  • Shares the relevant file or error
  • Reads the generated diff

Practiced

You can guide Codex with repository context and choose useful checks.

  • Adds constraints and acceptance criteria
  • Uses AGENTS.md as durable guidance
  • Runs focused validation

Advanced

You can delegate multi-step work while controlling risk and feedback loops.

  • Scopes tools and permissions
  • Breaks work into reviewable changes
  • Responds to test evidence

Expert

You can design repeatable Codex workflows that improve a team's engineering system.

  • Builds clear repository conventions
  • Matches verification depth to risk
  • Keeps final accountability with people

A result you can use on the next task

The assessment turns fuzzy confidence into specific learning priorities.

Find your baseline

See which operating habits are already reliable and which ones are still guesswork.

Name the gaps

Separate prompting issues from context, permission, and verification issues.

Improve deliberately

Use the level description to choose a focused next practice instead of collecting random tips.

Questions before you begin

What the assessment covers, how it works, and what the result means.

What does the test cover?

It covers context design, AGENTS.md instructions, tool and permission choices, testing, and human review. It focuses on how you work with Codex, not language syntax trivia.

What is the question format?

The test contains 15 single-choice questions. Each asks you to identify the strongest action or workflow for a realistic Codex scenario.

What can I do with the result?

Use it as a learning baseline. Your level highlights capability patterns and useful areas to practice, not a professional certification or hiring score.

How is the content kept current?

Questions are reviewed against publicly available OpenAI guidance and Codex CLI documentation, then revised as documented workflows and controls change.

Is Codex Level an official OpenAI product?

No. Codex Level is an independent community project and is not affiliated with, endorsed by, or operated by OpenAI.

Turn intuition into a working baseline

Fifteen questions. One clear picture of how you currently work with Codex.

Start test

Codex Level is an independent community project. It is not affiliated with, endorsed by, or operated by OpenAI.

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