eval-coding-agent

Identify and quantify failure modes in coding agent outputs.

Updated Apr 19, 2026
One-click install
npx skills add https://github.com/majidraza1228/eval-framework --skill eval-coding-agent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: eval-coding-agent
Source: https://github.com/majidraza1228/eval-framework/tree/main/skills/eval-coding-agent
Command: npx skills add https://github.com/majidraza1228/eval-framework --skill eval-coding-agent

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Coding agent outputs can be error-prone and require structured evaluation to improve reliability and safety. This Skill provides a formal framework to detect, categorize, and remediate common failure modes in code-generation and editing tasks, including correctness, scope creep, instruction following, and security.

Core Features & Use Cases

  • Automated failure-mode taxonomy for coding agents, enabling repeatable evaluation.
  • Integrated checks for correctness, scope creep, instruction following, and security across code-generation workflows.
  • Suitable for validating Claude-powered coding assistants, code-review bots, and code-generation pipelines to accelerate safe iteration.

Quick Start

Run automated checks against the coding agent’s outputs to identify and mitigate key failure modes.

Frequently Asked Questions about eval-coding-agent

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

FAQPage Schema
How do I evaluate coding agent outputs for correctness and security?

Coding agent evaluation identifies and quantifies failure modes by integrating unit tests, diff checks, and security scanning into validation pipelines to ensure correctness and safety.

What are common failure modes in code generation workflows?

Common failure modes in code generation include correctness errors, scope creep, poor instruction following, and security vulnerabilities, which require structured diff analysis to detect and remediate.

How do I automate code review for Claude-powered coding assistants?

Automate code review by running structured checks against coding assistant outputs to identify and mitigate failure modes like scope creep and security vulnerabilities, accelerating safe iteration.

Does this coding agent evaluation framework work with code editors and evaluation pipelines?

Yes, the evaluation framework applies across code generation workflows, code editors, and evaluation pipelines where automated validation and subjective judgments are needed for agent outputs.

What is the best way to validate code generation outputs for instruction following?

The best way to validate code generation outputs is using a formal failure-mode taxonomy that integrates diff analysis and automated checks to systematically assess instruction following and scope creep.