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.