coderabbit-data-handling

v2026.09.24

Define code, cache, retention, export, and sensitive-path controls for a repository or organization. Use when this operator task needs a current, evidence-backed CodeRabbit workflow. Trigger with "audit CodeRabbit data handling".

GitHub
安装命令
npx skhub add jeremylongshore/coderabbit-data-handling
Markdown
SKILL.md

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.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

  • 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

  1. Classify repositories and paths by sensitivity and contractual requirements.

  2. Record installation scope, filters, cache, retention, exports, and reports.

  3. Design access minimization, secret prevention, exclusions, retention, and custody.

  4. 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

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

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

发现
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版本
最新版本元数据

版本

v2026.09.24

发布时间

Sep 24, 2026

分类

未分类

许可证

MIT

源路径

skills/.curated/coderabbit-data-handling

默认分支

main

最新提交

e5a6c3b

Tree SHA

c2dc8e8