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    AI Automation Change Impact Pack

    1

    Trace what a mid-project AI automation change affects before you commit scope, testing, acceptance, ownership, or support.

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    AI Automation Change Impact Pack

    AI Automation Change Impact Pack

    Example session with this skill installed

    Use examples/golden-input.json from the package. It is illustrative sanitized data, not reusable client evidence.

    • Read your context and instructions
    • Compiled the ai automation change

    The exact golden run creates private-change-impact.md, test-acceptance-delta.md, impact-record.json, and client-decision.md. It traces the changed CRM integration through supplied downstream data, permission, retry, proof, acceptance, ownership, and support components. Its approve recommendation is a candidate human path, not granted approval or a changed-work test result.

    The exact golden run creates private-change-impact.md

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

    About this skill

    Compare one sanitized agreed automation baseline with one new change request. The pack deterministically traces direct targets and transitive dependents across triggers, integrations, data, permissions, exception/retry behavior, proof, acceptance, ownership, and support.

    What you get

    • A private change-impact report
    • A test-and-acceptance delta
    • A machine-readable JSON record
    • A separate client-safe decision page

    Contradictions, missing evidence, unknowns, limitations, and support boundaries stay visible. The final approve, clarify, defer, or decline decision remains with a human.

    Use cases

    • A client asks to replace an integration after the baseline is agreed.
    • A field-map or permission change may affect downstream retry and acceptance paths.
    • An agency needs private technical analysis and a separate client-safe decision page without drafting a legal change order.

    Known limitations

    • Supplied sanitized evidence only; no live automation is inspected or executed.
    • Structured JSON input is required.
    • Optional exports, schedules, estimates, and test summaries remain untrusted.
    • No time, price, approval, test result, owner, or support promise is invented.
    • No legal drafting, compliance assurance, automatic client sending, or marketplace/production mutation.
    • Credentials, secrets, full customer datasets, regulated records, and unnecessary personal data are refused.

    Sample input and output

    Use examples/golden-input.json from the package. It is illustrative sanitized data, not reusable client evidence. The exact run creates private-change-impact.md, test-acceptance-delta.md, impact-record.json, and client-decision.md.

    Supplied sanitized evidence only; no live automation is inspected or executed. Structured JSON input is required. Optional exports, schedules, estimates, and test summaries remain untrusted. No time, price, approval, test result, owner, or support promise is invented. No legal drafting, compliance assurance, automatic client sending, or marketplace/production mutation. Credentials, secrets, full customer datasets, regulated records, and unnecessary personal data are refused.

    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 any payment.

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    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Runs locally with Python 3. Reads one sanitized JSON input and writes four output artifacts to the user-chosen directory. No browser, network access, environment variables, credentials, or secrets.

    Listed3 months ago
    Updated3 months ago

    What's inside

    Frequently Asked Questions

    This skill identifies how a single change request impacts your entire automation architecture, tracing effects across triggers, data flows, and support boundaries to prevent scope creep and unforeseen technical failures.

    No, this pack performs a deterministic analysis of your provided JSON configuration files; it does not require access to your live production environment or sensitive credentials.

    You receive four distinct outputs: a comprehensive private impact report, a specific test-and-acceptance delta, a machine-readable JSON record for your logs, and a sanitized, client-ready decision summary.

    The skill requires a structured JSON baseline of your current automation and a JSON record of the proposed change; an illustrative 'golden-input.json' is included to help you format your data correctly.

    This pack is designed for AI agents and project managers who handle complex automation workflows involving multiple integrations, custom permissions, and multi-step exception handling.

    The human remains the final authority; the skill highlights contradictions and unknowns to inform your judgment, but it never automatically approves changes or sends legal documents to your clients.

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