quality-review

Evaluate ODA project evaluation reports against KOICA Evaluation Guidelines v2.

3|Updated Jun 7, 2026
One-click install
npx skills add https://github.com/amnotyoung/dev-eval-agents --skill quality-review-amnotyoung
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: quality-review
Source: https://github.com/amnotyoung/dev-eval-agents/tree/main/skills/quality-review
Command: npx skills add https://github.com/amnotyoung/dev-eval-agents --skill quality-review-amnotyoung

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill addresses the inconsistency and human error in evaluating the quality of ODA project reports by providing a structured, evidence-based meta-evaluation framework.

Core Features & Use Cases

  • Standardized Quality Scoring: Evaluates reports against the KOICA Evaluation Guidelines (v2) using a 100-point scale across 10 specific criteria.
  • Numerical Consistency Check: Automatically detects arithmetic errors and discrepancies between summary, table, and body text data.
  • Use Case: A project manager needs to verify if a final evaluation report meets the mandatory quality threshold (Pass/Non-Pass) before submission to the evaluation panel.

Quick Start

Ask the quality review skill to perform a quality inspection on the evaluation report file named final-report.md.

Frequently Asked Questions about quality-review

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

FAQPage Schema
How do I evaluate an ODA project evaluation report against KOICA standards?

To evaluate an ODA project evaluation report against KOICA standards, provide the report file to the skill to perform a meta-evaluation of its structure, methodology, and logical consistency across 10 specific quality criteria.

What is included in the KOICA evaluation report quality review process?

The KOICA evaluation report quality review process includes standardized quality scoring on a 100-point scale, automated numerical consistency checks, and citation verification to ensure report integrity and institutional compliance.

Does the ODA report evaluation check for numerical consistency between tables and text?

Yes, the ODA report evaluation automatically detects arithmetic errors and discrepancies between summary, table, and body text data to ensure complete numerical consistency and report integrity.

Can I use this quality review skill for ODA reports to verify a pass or non-pass threshold?

You can use this quality review skill for ODA reports to verify a mandatory quality threshold before submission, generating a structured Pass or Non-Pass meta-evaluation based on the KOICA Evaluation Guidelines v2.

What do I need to run an automated quality inspection on an evaluation report?

To run an automated quality inspection on an evaluation report, you need a Python3 environment and the report file, such as final-report.md, to initiate the structured evidence-based evaluation framework.