CO

coderabbit-observability

Implements observability for CodeRabbit integrations to track PR coverage, latency, and comment quality.

Install

mkdir -p .claude/skills/coderabbit-observability && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/6309" && unzip -o skill.zip -d .claude/skills/coderabbit-observability && rm skill.zip

Installs to .claude/skills/coderabbit-observability

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Monitor CodeRabbit review effectiveness with metrics, dashboards, and
69 charsno explicit “when” trigger
Advanced

Key capabilities

  • →Measure PR review coverage
  • →Track comment acceptance rates
  • →Calculate time-to-first-review
  • →Generate weekly metrics dashboards
  • →Alert on missing review coverage

How it works

The skill uses GitHub CLI and API scripts to aggregate PR review data, calculating coverage and comment metrics. It provides templates for GitHub Actions to automate weekly reporting and alerting.

Inputs & outputs

You give it
GitHub repository metadata and PR review history
You get back
Metrics summary and observability dashboard

When to use coderabbit-observability

  • →Measure PR review coverage
  • →Track review latency trends
  • →Monitor comment acceptance rates
  • →Build team-wide review dashboards

About this skill

CodeRabbit Observability

Overview

Use documented metric definitions and preserve denominators. Avoid scraping bot comments as a substitute for authoritative reporting.

Prerequisites

  • Identify the CodeRabbit organization, Git provider, repository, plan, and accountable owner.
  • Read references/official-docs.md and re-check any time-sensitive contract before execution.
  • Use synthetic or read-only evidence until the approval boundary is satisfied.
  • Preserve the repository's independent CI, security, and human-review requirements.

Current Contract

  • Git-platform and IDE or CLI metrics have separate definitions.
  • The Usage dashboard explains events, limits, and the Review Log.
  • Data export supports offline analysis.
  • Authenticated metrics APIs depend on plan and permissions.

Authentication

Treat Git-provider sessions, CodeRabbit web sessions, CLI credentials, and CodeRabbit API keys as separate credentials. Use only an already-approved session or secret-manager reference, never print a secret, and do not place credentials in .coderabbit.yaml, source files, logs, or deliverables.

Instructions

  1. Define decision, population, provider, repositories, UTC window, and metrics.

  2. Export with timestamps, filters, pagination, and exclusions.

  3. Compute coverage, response, resolution, and usage with denominators.

  4. Compare cohorts and publish thresholds only after baseline evidence.

Tool Discipline

  • Use Glob to locate candidate configuration and evidence files without widening scope.
  • Use Grep to find relevant fields, commands, identifiers, and stale claims.
  • Use Read to inspect the smallest required files and authoritative evidence.
  • Use Write only for a new approved local draft or evidence artifact.
  • Use Edit only for a bounded approved change whose rollback is known.
  • Do not use these file tools as a substitute for authenticated CodeRabbit or provider operations.

Approval Boundaries

Require data-owner approval before user-level exports, scheduled reports, or API credentials. Keep analysis and drafts local until approval is explicit, and record who approved the action and its scope.

Output

A reproducible metric spec, source receipt, dataset summary, dashboard, anomalies, and actions. Include source dates, unknowns, and the exact boundary between observed fact and recommendation.

Error Handling

ConditionResponse
Current contract is unclear or docs disagreeStop mutation, cite both sources, and request owner resolution.
Required access or approval is missingProduce a draft and evidence plan only.
Validation or pilot behavior differs from expectationRestore the prior state and retain the failed evidence.
Output contains secrets or private codeStop, quarantine the artifact, redact it, and notify the data owner.

Examples

Example 1

Compare coverage before and after central config rollout.

Example 2

Reconcile CLI use with Review Log before buying credits.

Validation

  • Confirm every claim against the dated sources in references/official-docs.md.
  • Verify the requested scope, owner, approval, happy path, failure path, and rollback.
  • Re-read the effective configuration or provider state after any approved change.
  • Report unsupported fields, undocumented endpoints, and unverified assumptions as failures.

Resources

When not to use it

  • →Managing CodeRabbit account billing

Prerequisites

CodeRabbit installed on GitHub/GitLab organizationGitHub CLI (gh) authenticatedAccess to CodeRabbit dashboard

Limitations

  • →API rate limits may affect large repository analysis
  • →Requires consistent PR naming and tagging for accurate metrics

How it compares

This method provides quantitative team-wide insights into AI review effectiveness, rather than just individual PR feedback.

Compared to similar skills

coderabbit-observability side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
coderabbit-observability (this skill)12moReviewAdvanced
opentelemetry-instrumentation-extension38moReviewAdvanced
phoenix-observability38moReviewIntermediate
phoenix-tracing12moReviewAdvanced

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