productionos-agentic-eval

Evaluate plans, codebases, or research outputs using the CLEAR v2.0 framework.

8|Updated Mar 17, 2026

Search Tags:#codebase #codex #evaluation #agentic #structured-analysis #decision-trees #clear-v2

Ready to run

npx skills add https://github.com/ShaheerKhawaja/ProductionOS --skill productionos-agentic-eval

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: productionos-agentic-eval
Source: https://github.com/ShaheerKhawaja/ProductionOS/tree/main/codex-skills/productionos-agentic-eval
Command: npx skills add https://github.com/ShaheerKhawaja/ProductionOS --skill productionos-agentic-eval

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates rigorous agentic evaluation of plans, codebases, or research outputs using the CLEAR v2.0 framework to surface structured insights and improvement opportunities.

Core Features & Use Cases

Codex-native wrapper that preserves source command semantics while delivering formal, auditable evaluations.
Produces evidence-backed assessments and actionable recommendations for software projects, research work, and strategic initiatives.
Generates artifacts and guardrails aligned with the source workflow to ensure reproducibility and safety.

Quick Start

Invoke this workflow with a target plan, codebase, or document path to run a Codex-native agentic evaluation.

Frequently Asked Questions about productionos-agentic-eval

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

FAQPage Schema

How do I run a structured agentic evaluation on a codebase or research plan?▼

The CLEAR v2.0 framework provides structured agentic assessments by auditing goals, evidence, and risks. It produces evidence-backed evaluations, actionable recommendations, and artifacts aligned with the source workflow to ensure reproducibility and safety.

Can I use this agentic evaluation wrapper for strategic initiatives and research outputs?▼

Yes, this agentic evaluation wrapper is applicable to software projects, research tasks, and strategic initiatives. It evaluates plans and outputs while preserving source command semantics and guardrails through a Codex-native execution environment.

What inputs do I need to provide to perform a Codex-native agentic evaluation?▼

Performing a Codex-native agentic evaluation requires a target input path, access to the source command spec, and parity notes. This preserves guardrails, artifacts, and verification intent during the assessment.

What is the best way to audit goals, evidence, and risks in a software project?▼

The best way to audit goals, evidence, and risks is using the CLEAR v2.0 framework through a Codex-native wrapper. This approach automates rigorous evaluation to surface structured insights and improvement opportunities for codebases.

Does the evaluation framework generate artifacts and guardrails for reproducibility?▼

Yes, the evaluation framework generates artifacts and guardrails aligned with the source workflow. This ensures reproducibility and safety while preserving the source command semantics during the agentic assessment process.