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.zipInstalls 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, andKey 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
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.mdand 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
-
Define decision, population, provider, repositories, UTC window, and metrics.
-
Export with timestamps, filters, pagination, and exclusions.
-
Compute coverage, response, resolution, and usage with denominators.
-
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
| Condition | Response |
|---|---|
| Current contract is unclear or docs disagree | Stop mutation, cite both sources, and request owner resolution. |
| Required access or approval is missing | Produce a draft and evidence plan only. |
| Validation or pilot behavior differs from expectation | Restore the prior state and retain the failed evidence. |
| Output contains secrets or private code | Stop, 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
- Official documentation and contract notes
- Re-check the dated contract before any live operation.
- Treat unresolved or changed vendor behavior as a stop condition.
When not to use it
- →Managing CodeRabbit account billing
Prerequisites
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.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| coderabbit-observability (this skill) | 1 | 2mo | Review | Advanced |
| opentelemetry-instrumentation-extension | 3 | 8mo | Review | Advanced |
| phoenix-observability | 3 | 8mo | Review | Intermediate |
| phoenix-tracing | 1 | 2mo | Review | Advanced |
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Example prompts that trigger this skill in your AI assistant.
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