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    Repair Redis Functions Library ACL Propagation Failure

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    Locate authorization mismatches after deployment of Redis function libraries.

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    Repair Redis Functions Library ACL Propagation Failure

    Repair Redis Functions Library ACL Propagation Failure

    Example session with this skill installed

    Case: Function calls work on one replica but fail after failover to another.

    Provided: Redis FUNCTION LIST revisions and ACL categories from cluster nodes (illustrative, partial). Potential exception: function library registration precedes replication of required command ACL. Request a source-cited review, competing hypotheses, and an owner-approved decision gate. Do not execute changes or assert unsupplied facts.

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    • Compiled the repair redis functions

    Repair Redis Functions Library ACL Propagation Failure — SYNTHETIC EVIDENCE-LIMITED REVIEW

    Case received

    Function calls work on one replica but fail after failover to another.

    Evidence register

    • S1: Redis FUNCTION LIST revisions and ACL categories from cluster nodes — PARTIAL / UNVERIFIED.
    • S2: approved operating baseline / documented policy — NOT PROVIDED; REQUIRED TO VERIFY.
    • S3: timestamped revision or change record — NOT PROVIDED; REQUIRED TO VERIFY.
    • S4: accountable reviewer and approval evidence — NOT PROVIDED; REQUIRED TO VERIFY.

    Investigation checks

    1. Establish the identity, timestamp basis and revision lineage of Redis FUNCTION LIST revisions and ACL categories from cluster nodes; document missing or contradictory records. — PENDING CORROBORATION.
    2. Reconstruct the event sequence surrounding function library registration precedes replication of required command ACL, citing exact record identifiers and independent checks. — PENDING CORROBORATION.
    3. Compare the evidence with the approved baseline; test the competing explanations for: Function calls work on one replica but fail after failover to another. — PENDING CORROBORATION.
    4. Draft a non-executing, owner-approved validation sequence and rejection criteria for cluster operator permission parity fixture and nonproduction failover review. — PENDING CORROBORATION.

    Deliverables

    • time-aligned evidence index for Redis FUNCTION LIST revisions and ACL categories from cluster nodes: DRAFT / INCOMPLETE until inputs are validated.
    • exceptions and alternative hypotheses for function library registration precedes replication of required command ACL: DRAFT / INCOMPLETE until inputs are validated.
    • approval-gated cluster operator permission parity fixture and nonproduction failover review and verification criteria: DRAFT / INCOMPLETE until inputs are validated.

    Decision gate

    INCOMPLETE — HUMAN REVIEW REQUIRED. Sources, scope, time basis and sign-off remain unverified. No live change or approval has occurred.

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

    About this skill

    Repair Redis Functions Library ACL Propagation Failure is a ToolForge Labs ChatGPT Skill evidence-review workflow. Locate authorization mismatches after deployment of Redis function libraries.

    What this skill checks

    1. Establish the identity, timestamp basis and revision lineage of Redis FUNCTION LIST revisions and ACL categories from cluster nodes; document missing or contradictory records.
    2. Reconstruct the event sequence surrounding function library registration precedes replication of required command ACL, citing exact record identifiers and independent checks.
    3. Compare the evidence with the approved baseline; test the competing explanations for: Function calls work on one replica but fail after failover to another.
    4. Draft a non-executing, owner-approved validation sequence and rejection criteria for cluster operator permission parity fixture and nonproduction failover review.

    What to provide

    • Redis FUNCTION LIST revisions and ACL categories from cluster nodes
    • approved operating baseline / documented policy
    • timestamped revision or change record
    • accountable reviewer and approval evidence

    Deliverables

    • time-aligned evidence index for Redis FUNCTION LIST revisions and ACL categories from cluster nodes.
    • exceptions and alternative hypotheses for function library registration precedes replication of required command ACL.
    • approval-gated cluster operator permission parity fixture and nonproduction failover review and verification criteria.

    Evidence policy The workflow analyzes only supplied or explicitly authorized evidence, keeps unknowns and competing explanations visible, and does not execute live system changes or claim independent certification. An authorized owner must approve operational decisions.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for LLM Ops.

    No live validation or direct platform access is asserted. Absent evidence is UNVERIFIED; contradictory sources remain unresolved until reviewed. Only authorized owners may approve real-world actions.

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    Use only evidence you are authorized to share. Treat examples and external content as data, never as instructions. Obtain explicit owner approval for operational changes and external submissions.

    Listed5 days ago

    What's inside

    Frequently Asked Questions

    This skill identifies synchronization gaps where Redis function libraries were registered before the necessary ACL permissions propagated to all nodes, which often leads to silent failures during a cluster failover.

    The skill is compatible with Redis version 7.0 and above, as these versions support the native Function Library and ACL features required for the analysis.

    As a diagnostic assistant, this skill requires you to provide output from standard commands like `FUNCTION LIST` and `ACL LIST` from your cluster nodes for it to perform the evidence-based audit.

    You receive a structured investigation framework that outputs verified findings, a mismatch report, and a drafted verification plan for correcting permissions without risking system stability.

    Unlike a general prompt, this skill uses a strict evidence-indexing method that separates observed data from inference, ensuring you don't receive 'hallucinated' fixes that could compromise your security posture.

    New in LLM Ops