coderabbit-data-handling
Defines rules for CodeRabbit data handling, focusing on secret detection and file exclusions for compliance.
Install
mkdir -p .claude/skills/coderabbit-data-handling && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8768" && unzip -o skill.zip -d .claude/skills/coderabbit-data-handling && rm skill.zipInstalls to .claude/skills/coderabbit-data-handling
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.
Implement CodeRabbit PII handling, data retention, and GDPR/CCPA complianceKey capabilities
- →Exclude sensitive files from AI review using path filters
- →Configure secret detection patterns for pull requests
- →Limit AI review scope to specific source code directories
- →Implement security-focused path instructions for database and auth code
- →Define data retention and privacy compliance patterns
How it works
The skill uses a .coderabbit.yaml configuration file to define path filters and instructions that control which files the AI engine accesses and how it flags security-sensitive patterns during pull request reviews.
Inputs & outputs
When to use coderabbit-data-handling
- →Exclude sensitive files from AI review
- →Configure secret detection in PRs
- →Implement GDPR data retention policies
- →Set up PII redaction rules
About this skill
CodeRabbit Data Handling
Overview
Map what CodeRabbit may read, retain, cache, and export before changing controls. Exclusions do not replace source-control secret prevention.
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
- Cached data is documented as never used for training and expiring within one week.
- Cached data is encrypted except for open-source projects.
- Organizations can disable cache or data retention.
- Path filters change review surfaces, not Git history or provider access.
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
-
Classify repositories and paths by sensitivity and contractual requirements.
-
Record installation scope, filters, cache, retention, exports, and reports.
-
Design access minimization, secret prevention, exclusions, retention, and custody.
-
Pilot on synthetic data and confirm coverage and incident ownership.
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 security and privacy approval before changing retention, exporting data, or expanding access. Keep analysis and drafts local until approval is explicit, and record who approved the action and its scope.
Output
A data-flow register, classification map, control matrix, patch, and residual-risk statement. 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
Disable cache for a regulated repository and verify effective settings.
Example 2
Prove a fixture exclusion does not replace provider secret scanning.
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
- →Reviewing draft pull requests if drafts are enabled
- →Reviewing large generated files or data fixtures
- →Handling non-source code files like CSV or JSON
Prerequisites
Limitations
- →Secret detection requires manual addition of patterns to path_filters
- →Large diffs may require exclusion of generated file paths
- →Sensitive fixture data must be explicitly excluded
How it compares
Unlike generic review tools, this workflow explicitly integrates PII protection and secret detection directly into the AI review pipeline via repository-level configuration.
Compared to similar skills
coderabbit-data-handling side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| coderabbit-data-handling (this skill) | 0 | 2mo | Review | Intermediate |
| software-security | 21 | 8mo | No flags | Intermediate |
| fix-dependabot-alerts | 18 | 8mo | Review | Intermediate |
| backend-security-coder | 24 | 5mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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