audit evidence request pack builder

    1

    Converts audit scopes into structured evidence maps, PBC request packs, and traceability trackers.

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    audit evidence request pack builder

    Example session with this skill installed

    Build an evidence request pack for a SOC2 Access Control audit covering Q3 2023. Systems involved: OKTA and AWS. Focus on quarterly access reviews and MFA enforcement.

    • Read your context and instructions
    • Compiled the audit evidence request

    I have decomposed the SOC2 Access Control scope for Q3 2023 into a structured evidence map and PBC request pack. The plan includes a 3R-filtered list of requirements, owner assignments for OKTA and AWS administrators, and a master tracker with escalation thresholds.

    SOC2 Access Control Evidence Map (Q3 2023)

    Req IDAudit RequirementEvidence ItemSource SystemOwnerPeriodPriority
    AC-01Quarterly access reviews performedQ3 User Access Review Sign-offOKTAIT AdminJuly-Sept 2023High
    AC-02MFA enabled for all administrative usersMFA Config Report (JSON/PDF)AWS IAMCloud OpsPoint-in-timeHigh
    AC-03Terminated users removed within 24hrsOffboarding logs vs HR Term listOKTA / HRISIT AdminJuly-Sept 2023Medium
    AC-04Privileged access approval workflowJira ticket samples for admin rolesJiraIT ManagerJuly-Sept 2023Medium

    PBC Request: PBC-001 (OKTA Admin)

    Description: Provide the Q3 User Access Review sign-off report.
    Required Format: PDF with digital signature or system-generated timestamp.
    Period: 2023-07-01 to 2023-09-30.
    Handling: Confidential. Upload to Secure Audit Portal. Do not email.
    Due Date: 5 days prior to audit start.

    Master Tracker & Escalation Path

    • Level 1 (Due -5 days): Automated reminder to IT Admin/Cloud Ops.
    • Level 2 (Due +2 days): Notification to IT Manager and Infrastructure Lead.
    • Level 3 (Due +5 days): Escalation to Audit Sponsor (CISO).

    3R Filter Minimization Log:

    • Excluded: Full system audit logs for Q3. Rationale: Access reviews (AC-01) provide sufficient evidence of control operation; full logs are not "Right-sized" for this requirement.

    Next steps

    1. Review the Evidence Map with the OKTA and AWS administrators to confirm data availability.
    2. Distribute the PBC Request documents via the approved secure transfer channel.
    3. Initialize the Master Tracker to monitor incoming submissions against the Q3 timeline.

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

    About this skill

    The problem

    Audit planning often results in "data dumping" where teams collect massive amounts of redundant or irrelevant files. This creates bottlenecks, increases security risks for sensitive data, and leaves auditors with gaps in traceability between requirements and evidence.

    What it does

    • Decomposes high-level audit scopes into discrete, testable audit requirements mapped to specific evidence types.
    • Applies a 3R filter (Relevant, Required, Right-sized) to minimize unnecessary data collection and document exclusion rationales.
    • Generates structured PBC (Provided by Client) request packs with specific IDs, owners, time periods, and handling instructions.
    • Builds a master tracker with automated escalation paths based on due-date thresholds.
    • Performs post-collection validation to ensure coverage, traceability, and audit usability before submission.

    Why this beats prompting it yourself

    General prompts often miss the nuances of audit defensibility, such as period-specific evidence or data classification handling. This skill enforces a rigorous mapping architecture that prevents "orphan evidence" and ensures every file requested is tied to a specific control requirement, saving hours of manual reconciliation.

    Use cases

    • Preparing for SOC2 or ISO 27001 external audits to ensure no gaps in control evidence.
    • Structuring internal audit workflows for new systems or departments.
    • Developing evidence-collection playbooks for regulatory compliance reviews.

    Known limitations

    Does not provide legal advice on data privacy regulations. Requires a defined audit scope or list of objectives to begin decomposition.

    Requires an initial audit scope or set of objectives. Does not automate the actual extraction of files from source systems.

    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

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    3. 3

      Ask for what you need

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    Listed2 months ago

    What's inside

    Frequently Asked Questions

    It solves 'data dumping' by converting broad audit scopes into discrete, testable requirements, applying a 3R filter (Relevant, Required, Right-sized) to ensure you only collect evidence that is directly mapped to a control.

    You will receive the 'Audit Evidence Request Pack Builder' skill, which includes the logic for generating structured PBC request lists, traceability trackers, and automated escalation workflows.

    This skill is designed to work with any AI agent platform that supports structured workflow automation; simply import the skill file and provide your audit scope or control list to begin the decomposition process.

    Yes, the skill is highly effective for structuring internal reviews and developing standardized evidence-collection playbooks for new departments or regulatory compliance frameworks.

    While the skill maps evidence to requirements, it requires a pre-defined audit scope or list of objectives to begin; it does not provide legal advice or determine which regulations apply to your specific business.

    Purchasers receive lifetime access to the current version, and you will be notified through the marketplace dashboard whenever logic updates or new compliance framework templates are released.

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