codex-readiness-integration-test

You can automate Codex readiness testing by orchestrating agentic loops, plan execution, and evidence collection using Python scripts and the Codex CLI to generate comprehensive run reports in CI workflows.

An agentic loop integration test validates repository readiness by orchestrating multi-stage task planning, deterministic checks, and optional LLM evaluations to produce scoring artifacts like evidence.json and report.json.

You generate evidence and evaluation reports by executing deterministic checks and optional LLM evaluation prompts, which output artifacts including evidence.json, deterministic_results.json, llm_results.json, and report.json.

Yes, to verify the end-to-end flow, you need to run the integration test against a repository that includes AGENTS.md and SKILL.md files.

Yes, you can integrate deterministic rules and optional LLM evaluation prompts to provide a balanced quality gate for validating Codex readiness in your CI pipelines.

The best way to score automated Codex readiness runs is by orchestrating agentic execution and evidence gathering, which applies deterministic checks and LLM evaluations to produce a comprehensive scoring report.