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synthesis-code-audit

Audit code diffs across 10 dimensions and produce PASS/WARNING/FAIL scores.

15|2|Updated Mar 17, 2026
Search Tags:#audit#quality#review#diff#code#pr-review#dimensions
One-click install
npx skills add https://github.com/synthesisengineering/synthesis-skills --skill synthesis-code-audit-synthesisengineering
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: synthesis-code-audit
Source: https://github.com/synthesisengineering/synthesis-skills/tree/main/synthesis-code-audit
Command: npx skills add https://github.com/synthesisengineering/synthesis-skills --skill synthesis-code-audit-synthesisengineering

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Systematic evaluation of code diffs across 10 dimensions to surface quality issues before merging, producing a machine-readable overall result and enabling PR-review cross-references.

Core Features & Use Cases

  • 10-dimension scoring: independently evaluate code changes across ten orthogonal quality aspects.
  • PR-review integration: cross-reference findings with reviewer comments to streamline gating.
  • Actionable guidance: highlights where changes may impact quality, helping reviewers decide next steps.

Quick Start

Run the audit on the latest diff to generate a findings report.

Frequently Asked Questions about synthesis-code-audit

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

FAQPage Schema
How do I audit code diffs for quality before merging a pull request?▼

Code diff audits evaluate changes across a 10-dimension quality framework before merging. This process highlights where modifications impact quality, helping reviewers decide next steps and streamlining PR gating.

What is a multi-dimension code review framework?▼

A multi-dimension code review framework evaluates diffs across orthogonal quality aspects. It independently scores changes to produce per-dimension PASS/WARNING/FAIL ratings and a machine-readable overall result for systematic evaluation.

Can I cross-reference automated code audit findings with reviewer comments?▼

Automated code audit findings can be cross-referenced with reviewer comments. This integration streamlines pull request gating by aligning machine-generated quality scores with human feedback to guide merge decisions.

How do I generate a machine-readable code quality report from a diff?▼

Generating a machine-readable code quality report requires running an audit on the latest diff. The evaluation produces per-dimension PASS/WARNING/FAIL scores and an overall result to guide automated review decisions.

What is the best way to systematically evaluate pull request changes?▼

Systematically evaluating pull request changes involves applying a 10-dimension quality audit to the diff. This surfaces actionable findings across orthogonal aspects, producing standardized scores to guide review and gating.

When do I need to run a 10-dimension code audit on my changes?▼

Run a 10-dimension code audit when preparing code diffs for merge to surface quality issues early. This systematic evaluation is needed before PR gating to ensure changes meet orthogonal quality standards.

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