eval

Score uncommitted changes against codebase conventions into a markdown scorecard.

Updated Mar 30, 2026
One-click install
npx skills add https://github.com/jwadhwa2259/codescope --skill eval-jwadhwa2259
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: eval
Source: https://github.com/jwadhwa2259/codescope/tree/main/skills/eval
Command: npx skills add https://github.com/jwadhwa2259/codescope --skill eval-jwadhwa2259

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Score uncommitted changes against codebase conventions and generate a deterministic scorecard to help you assess risk before changes are merged.

Core Features & Use Cases

  • Deterministic scoring of uncommitted changes using local data, without relying on AI models.
  • Supports multiple modes: score current changes, run a task and score, or benchmark.
  • Produces a four-metric scorecard with actionable guidance for improvements.

Quick Start

Run /codescope:eval to score your current uncommitted changes.

Frequently Asked Questions about eval

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

FAQPage Schema
How do I score uncommitted code changes against codebase conventions?▼

You can score uncommitted changes by running a deterministic evaluation that parses your local diffs and generates a markdown scorecard grading conformity, risk, and import health before review.

What is deterministic code scoring and how does it evaluate risk?▼

Deterministic code scoring uses local data and predefined codebase conventions to quantify risk and conformity for uncommitted changes, producing a four-metric scorecard without relying on AI models.

Can I benchmark code changes or run a task and score the results automatically?▼

Yes, the evaluation supports multiple modes including scoring current uncommitted changes, running a specified task and scoring the results, or benchmarking to produce a deterministic scorecard.

Do I need AI models to generate a code quality scorecard for uncommitted changes?▼

No, the scorecard is generated deterministically using local data and codebase conventions, meaning no AI models are required to quantify conformity, risk, or import health.

What metrics are included in a deterministic code change scorecard?▼

The scorecard features four equal-weighted metrics covering conformity, risk, and import health, which combine to produce a composite grade with actionable guidance for improvements.