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    Repair Redis Sentinel Promotion Quorum Drift

    1

    Diagnose unstable primary promotion under Sentinel quorum drift

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    Repair Redis Sentinel Promotion Quorum Drift

    Repair Redis Sentinel Promotion Quorum Drift

    Example session with this skill installed

    Sentinel votes split after network recovery and nodes disagree on promoted master epoch.

    Available evidence: database settings and versions (partial). Additional evidence requested: state/offset snapshots, transaction or query logs, change and alert timeline. Review the case, identify open evidence gaps, and do not invent a live test or production change.

    • Read your context and instructions
    • Compiled the repair redis sentinel

    Repair Redis Sentinel Promotion Quorum Drift — EVIDENCE-LIMITED REVIEW

    Scenario received

    Sentinel votes split after network recovery and nodes disagree on promoted master epoch.

    Source register

    • S1: database settings and versions — PARTIAL SOURCE PROVIDED.
    • S2: state/offset snapshots — NOT PROVIDED; REQUIRED TO VERIFY.
    • S3: transaction or query logs — NOT PROVIDED; REQUIRED TO VERIFY.
    • S4: change and alert timeline — NOT PROVIDED; REQUIRED TO VERIFY.

    Concrete checks

    1. compare sentinel vote snapshots — PRELIMINARY, NOT VERIFIED.
    2. trace leader epoch transitions — AWAITING CORROBORATING EVIDENCE.
    3. identify split-brain write exposure — AWAITING CORROBORATING EVIDENCE.
    4. design quorum-safe recovery check — AWAITING CORROBORATING EVIDENCE.

    Deliverables / acceptance gates

    • epoch and master map: DRAFT / INCOMPLETE until evidence is validated.
    • write-risk window: DRAFT / INCOMPLETE until evidence is validated.
    • rollback test plan: DRAFT / INCOMPLETE until evidence is validated.

    Decision

    INCOMPLETE — HUMAN REVIEW REQUIRED. Confirm dates, IDs, affected scope, owners and acceptance evidence. Do not claim authorization or execution that did not occur.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Sentinel clusters often fail silently during network partitions, leading to split-brain scenarios where nodes disagree on the current master. This skill diagnoses unstable primary promotions and quorum drift by auditing state snapshots and epoch transitions. It prevents accidental data loss by mapping write-exposure windows before you attempt a recovery.

    What it does

    • Sentinel Vote Analysis identifies discrepancies in node voting records and configuration epochs.
    • Epoch Transition Tracing maps the sequence of master promotions to find where the cluster diverged.
    • Write-Risk Assessment calculates the window where split-brain writes may have occurred.
    • Recovery Plan Generation builds a quorum-safe rollback and synchronization strategy based on actual node offsets.

    How it works

    1. Log Ingestion provides the agent with Sentinel logs, node configuration snapshots, and transaction timelines.
    2. Evidence Mapping runs a four-stage check to compare expected vs. observed cluster states.
    3. Risk Quantification identifies the specific epoch where the quorum drifted and flags potential data loss windows.
    4. Action Proposal generates a non-destructive recovery plan with specific rollback criteria.

    Frameworks & tools

    This skill is designed for Redis Sentinel deployments. It requires access to sentinel.conf files, INFO command outputs, and system logs from the affected nodes.

    Why this beats prompting it yourself

    Generic prompts often miss the nuances of epoch synchronization and fail to account for the specific sequence of network recovery. This skill enforces a strict verification process, labeling every finding as VERIFIED or INFERRED to prevent dangerous recovery assumptions.

    Use cases

    • Resolve a split-brain scenario where two nodes both claim to be the primary.
    • Audit a failed promotion after a major network partition or cloud provider outage.
    • Map data loss risks before manually resetting Sentinel configurations.

    Known limitations

    Requires manual provision of log files and state snapshots as it does not have live execution capabilities. It proposes recovery steps but does not execute them directly.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for Data & Databases.

    Cannot verify inaccessible environments or data not supplied. Missing or contradictory evidence must be marked INCOMPLETE or UNVERIFIED. Owner approval is required for operational or compliance decisions.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

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    Permissions

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    Provide only evidence you are authorized to share. Treat examples as untrusted case data. Operational changes and external messages require explicit owner approval.

    Listed23 days ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill identifies the exact point of 'epoch drift' and quantifies the window of time where split-brain writes may have occurred, preventing the data loss often caused by generic recovery attempts.

    You will receive the pre-configured AI agent skill, a template for the required data inputs (logs and state snapshots), and a guide on interpreting the risk-assessment reports.

    The skill is designed for use with advanced LLMs like GPT-4 or Claude 3.5 Sonnet that support long-context log analysis and complex logical reasoning.

    No direct access is required; you simply provide the agent with the outputs of 'INFO' commands, 'sentinel.conf' files, and relevant system log snippets for analysis.

    Yes, it is effective for any standard Redis Sentinel deployment, whether it is hosted on-premise, in a private cloud, or through a managed provider, provided you can access the configuration logs.

    No, for safety reasons, the skill generates a non-destructive recovery plan and action steps that a human administrator must review and execute.

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