What specific metrics does this skill track?

It tracks review coverage, time-to-review latency, comment acceptance rates, comment volume per pull request, and review approval percentages.

Can I automate these reports?

Yes, the skill includes a GitHub Actions workflow template that generates weekly metrics summaries directly in your repository's job summaries.

How do I fix low CodeRabbit review coverage?

The skill helps identify gaps and suggests checking your .coderabbit.yaml configuration, specifically the base_branches and ignore_title_keywords settings.

Does this require specific permissions?

It requires the GitHub CLI (gh) to be authenticated with repository access and permissions to read pull request and review data via the REST API.

Can it help reduce review noise?

By analyzing the comment acceptance rate, the skill provides recommendations on when to switch between 'chill' and 'assertive' profiles to improve signal-to-noise.

CodeRabbit Observability

Name: CodeRabbit Observability
Author: jeremylongshore

byjeremylongshore

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1,901

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分析与监控

Monitors and analyzes CodeRabbit AI code review performance through metrics, automated dashboards, and real-time alerts.

This skill provides a comprehensive framework for measuring the effectiveness of CodeRabbit AI code reviews within your development workflow. It enables teams to track critical KPIs such as review coverage, time-to-first-review, and comment acceptance rates. By identifying signal-to-noise ratios and automating metrics reporting through GitHub Actions, it helps engineering leaders optimize AI review settings and ensure that automated code audits are providing maximum value without creating developer fatigue.

主要功能

01Configure real-time alerts for delayed or missing AI reviews

02Identify trends in review latency to maintain developer flow

031,901 GitHub stars

04Calculate PR review coverage and approval rates across repositories

05Analyze comment volume and acceptance to tune AI review sensitivity

06Automate weekly metrics dashboards using GitHub Actions summaries

使用场景

01Optimizing CodeRabbit profiles (Chill vs. Assertive) based on data-driven acceptance rates

02Reporting AI adoption and code quality metrics to engineering management

03Detecting configuration gaps where PRs are bypassing AI review audits

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills coderabbit-observability

For use in Claude.ai and ChatGPT

主要功能

01Configure real-time alerts for delayed or missing AI reviews

02Identify trends in review latency to maintain developer flow

031,901 GitHub stars

04Calculate PR review coverage and approval rates across repositories

05Analyze comment volume and acceptance to tune AI review sensitivity

06Automate weekly metrics dashboards using GitHub Actions summaries

使用场景

01Optimizing CodeRabbit profiles (Chill vs. Assertive) based on data-driven acceptance rates

02Reporting AI adoption and code quality metrics to engineering management

03Detecting configuration gaps where PRs are bypassing AI review audits

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills coderabbit-observability

For use in Claude.ai and ChatGPT