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    Repair GitLab Runner Docker Cache Mixup

    1

    Isolate CI container layer cache leakage across runners

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    Repair GitLab Runner Docker Cache Mixup

    Repair GitLab Runner Docker Cache Mixup

    Example session with this skill installed

    Two runners share a remote cache and a signed release includes stale compiler output.

    Available evidence: source/config revision (partial). Additional evidence requested: reproduction logs, dependency/runtime versions, CI or service trace. 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 gitlab runner

    Repair GitLab Runner Docker Cache Mixup — EVIDENCE-LIMITED REVIEW

    Scenario received

    Two runners share a remote cache and a signed release includes stale compiler output.

    Source register

    • S1: source/config revision — PARTIAL SOURCE PROVIDED.
    • S2: reproduction logs — NOT PROVIDED; REQUIRED TO VERIFY.
    • S3: dependency/runtime versions — NOT PROVIDED; REQUIRED TO VERIFY.
    • S4: CI or service trace — NOT PROVIDED; REQUIRED TO VERIFY.

    Concrete checks

    1. compare runner image digests — PRELIMINARY, NOT VERIFIED.
    2. trace cache namespace use — AWAITING CORROBORATING EVIDENCE.
    3. verify artifact provenance — AWAITING CORROBORATING EVIDENCE.
    4. propose immutable build gate — AWAITING CORROBORATING EVIDENCE.

    Deliverables / acceptance gates

    • runner cache map: DRAFT / INCOMPLETE until evidence is validated.
    • rebuild impact list: DRAFT / INCOMPLETE until evidence is validated.
    • cache segregation test: 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

    Repair GitLab Runner Docker Cache Mixup is a ToolForge Labs ChatGPT Skill workflow. Isolate CI container layer cache leakage across runners.

    What this skill checks

    1. compare runner image digests.
    2. trace cache namespace use.
    3. verify artifact provenance.
    4. propose immutable build gate.

    What to provide

    • source/config revision.
    • reproduction logs.
    • dependency/runtime versions.
    • CI or service trace.

    Deliverables

    • runner cache map.
    • rebuild impact list.
    • cache segregation test.

    Evidence policy Only supplied, authorized evidence is used. The skill distinguishes facts from assumptions and missing inputs; no unperformed live tests, external changes, or approvals are claimed.

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

    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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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scan

    Security scan passed 23 days ago

    Permissions

    Read Files

    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

    Isolate CI container layer cache leakage across runners

    This skill uses the open SKILL.md standard. Use it through an MCP-compatible agent connected to Agensi, and check the compatibility information on this page for confirmed agents and required capabilities.

    Connect your AI agent to Agensi through MCP, then ask it to use Repair GitLab Runner Docker Cache Mixup on your task. Your agent loads the latest approved version each time. Paid skills require a purchase or active subscription. Skill files are not available for download; your licence does not allow you to save, copy or export any part of a skill.