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codex-readiness-integration-test

Orchestrate end-to-end Codex readiness integration tests with multi-stage agentic loops.

Updated Feb 4, 2026
Search Tags:#codex#evidence#integration-testing#agentic-loop#build-test#llm-eval
One-click install
npx skills add https://github.com/pchemguy/Dummy --skill codex-readiness-integration-test-pchemguy
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: codex-readiness-integration-test
Source: https://github.com/pchemguy/Dummy/tree/main/docs/AgentSkills/openai/skills/skills/.experimental/codex-readiness-integration-test
Command: npx skills add https://github.com/pchemguy/Dummy --skill codex-readiness-integration-test-pchemguy

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Codex readiness integration test coordinates end-to-end evaluation of agentic loops, tying together planning, execution, results collection, and scoring into a reproducible workflow.

Core Features & Use Cases

  • Orchestrates a multi-stage agentic loop: planning, execution, evidence gathering, and deterministic/LLM evaluation.
  • Generates and stores artifacts such as agentic_summary.json, logs, llm_results.json, and execution/evidence outputs for auditing.
  • Use Case: A team validating new agent behaviors can run this skill to verify that changes pass a predefined integration workflow and produce a comprehensive report.

Quick Start

Run the integration test to execute a full agentic loop with build/test scoring and output artifacts.

Frequently Asked Questions about codex-readiness-integration-test

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

FAQPage Schema
How do I run an end-to-end agentic loop integration test?▼

To run an agentic loop integration test, you orchestrate a multi-stage workflow that coordinates planning, execution, evidence collection, and scoring to evaluate agent behaviors comprehensively.

What is agentic loop evaluation and when do I need it?▼

Agentic loop evaluation is the process of validating agent behaviors through deterministic and LLM scoring. You need it when verifying that repository changes pass predefined workflows and produce structured evaluation outputs.

How do I collect evidence and artifacts during an integration test?▼

Collect evidence and artifacts during integration testing by orchestrating a workflow that generates and stores structured files like agentic_summary.json, execution logs, and llm_results.json for auditing.

Can I use LLM evaluation for build and test scoring in my repository?▼

Yes, you can apply LLM evaluation alongside deterministic scoring to assess build and test results within your repository, ensuring outputs are structured with clear provenance for agentic_loop_eval and change_quality_eval.

What's the best way to ensure reproducible workflows for agent validation?▼

The best way to ensure reproducible agent validation workflows is to use an orchestration skill that ties execution, results collection, and scoring together, generating comprehensive reports and stored artifacts for every run.

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