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    Incident Recovery & Operational Follow-Through Review

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    Incident Recovery Process & Operational Follow-Through Review is a bounded ToolForge Labs workflow.

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    Incident Recovery & Operational Follow-Through Review

    Incident Recovery & Operational Follow-Through Review

    Example session with this skill installed

    A production incident was marked resolved after traffic recovered, but a later audit found stale data, an emergency feature flag still enabled, and an unowned manual reconciliation task. Review the recovery process.

    • Read your context and instructions
    • Compiled the incident recovery

    The likely issue is a contract or lifecycle mismatch around incident recovery process, service restoration, data reconciliation, temporary mitigations, follow-up ownership, verification, cleanup, communication, and recurrence prevention. I would first state the invariant: Recovery is complete only when service health, data correctness, temporary mitigation cleanup, follow-up ownership, and customer-impact evidence are explicitly verified. Then I would map VERIFIED evidence against the owning boundary, keep LIKELY/UNKNOWN state explicit, apply or propose the narrowest repair, and add deterministic normal, boundary, interruption, retry/cancellation, and recovery tests. With repository/workspace access, findings can map to exact paths and focused local validation; with partial evidence, the result remains a bounded evidence map with no invented execution claims.

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

    About this skill

    Incident Recovery Process & Operational Follow-Through Review is a bounded ToolForge Labs workflow. Diagnose, review, and repair incident recovery process, service restoration, data reconciliation, temporary mitigations, follow-up ownership, verification, cleanup, communication, and recurrence prevention. Works from repositories/workspaces or partial supplied evidence. Produces bounded fixes or evidence gates with deterministic validation while preserving authorization, security, public interfaces, user-visible behavior, and documented ownership, and never invents executed work. It works from a full repository/workspace or partial evidence such as snippets, logs, configuration, traces, documents, tickets, sample data, and architecture notes. The skill separates verified facts from assumptions, avoids invented execution claims, and produces concrete repair/review steps with focused deterministic validation or traceable evidence.

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

    Cannot access live production systems; requires logs, snippets, or repository access to verify claims. Will not pretend to execute commands in restricted environments.

    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

    Terminal / Shell
    Read Files
    Write Files

    Use a clean branch or controlled review workspace. Supply repository/workspace files, logs, traces, configuration, documents, sample data, or evidence needed for the task. Review patches/findings before merge or operational action; keep production credentials and destructive production actions out of the workflow.

    Listed1 month ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill provides a structured framework to diagnose and repair post-incident workflows, ensuring service restoration is complete, data is reconciled, and permanent recurrence preventions are implemented without inventing false progress.

    The skill is highly flexible, capable of analyzing full code repositories and workspaces or working from partial evidence like log snippets, system traces, architecture notes, and incident tickets.

    No, the skill is strictly designed to preserve authorization protocols, security configurations, and public interfaces while ensuring all proposed fixes maintain user-visible behavior and documented ownership.

    Every output includes deterministic validation steps or evidence gates, ensuring that proposed repairs are verifiable and that verified facts are clearly separated from assumptions.

    The skill is a bounded ToolForge Labs workflow compatible with major AI agents that support repository access or document processing; setup typically involves connecting your workspace or uploading relevant incident artifacts.

    You receive the complete ToolForge Labs workflow, including the diagnostic logic, evidence gate templates, and the deterministic validation framework for post-incident follow-through.

    New in DevOps & Cloud