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    Policy Exception Evidence Review

    1

    This skill enforces a rigorous review process for rationale, authority, and compensating controls to ensure every exception is justified and tracked.

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    Policy Exception Evidence Review

    Policy Exception Evidence Review

    Example session with this skill installed

    A production access exception was approved for one release weekend. Three weeks later the access remains enabled, the original approver has left the team, the compensating monitoring rule was disabled, and the ticket has no expiry or closure evidence.

    • Read your context and instructions
    • Compiled the policy exception evidence

    POLICY EXCEPTION EVIDENCE REVIEW

    Case analyzed

    A production access exception was approved for one release weekend. Three weeks later the access remains enabled, the original approver has left the team, the compensating monitoring rule was disabled, and the ticket has no expiry or closure evidence.

    This review uses only the supplied facts. It does not assume access to production systems, private records, customer systems, vendor portals, or approvals that were not provided.

    Verdict

    NOT READY TO CLOSE. The case contains a material control or evidence gap that must be resolved before the workflow can be treated as complete.

    Verified evidence

    • VERIFIED: The scenario and constraints above were explicitly supplied.
    • VERIFIED: At least one required ownership, sequencing, evidence, or validation condition is missing or inconsistent.
    • VERIFIED: No additional approval or successful execution was supplied.
    • UNKNOWN: Any fact not present in the case remains unknown and must not be invented.

    Concrete findings

    1. The supplied case contains enough evidence to identify a material control or readiness gap, but not enough to claim the workflow is safe or complete.
    2. The highest risk is the mismatch between the stated operating intent and the evidence or state described in the case.
    3. Any remediation must preserve the historical record and keep verified facts separate from assumptions introduced during repair.
    4. Closure must depend on deterministic evidence tied to this exact case rather than a status field, optimistic label, or verbal confirmation.

    The controlling rule for this case is

    A policy exception is controlled only when its reason, authorized scope, compensating controls, owner, expiry, residual risk, and closure evidence are explicit and current.

    Required actions

    1. Capture the current state for exception rationale and identify the accountable owner.
    2. Reconcile approval authority and scope against the intended rule and document every material mismatch.
    3. Create a bounded correction for compensating controls without rewriting or inventing historical evidence.
    4. Validate expiry and ownership using a repeatable check tied to the supplied scenario.
    5. Do not close the case until residual risk and closure evidence has explicit evidence and any remaining exception is named.

    Deterministic validation

    • A reviewer can reproduce the conclusion from the supplied evidence without relying on private context.
    • Every material mismatch has an owner and a specific corrective action.
    • Unknown facts remain labeled UNKNOWN rather than being inferred as completed work.
    • The final state can be checked independently against the stated acceptance condition.
    • No production verification, approval, customer acceptance, or execution result is claimed unless it was actually supplied.

    Evidence boundaries

    • UNKNOWN: Details not explicitly present in the supplied case.
    • UNKNOWN: Whether proposed corrections have been executed.
    • UNKNOWN: Whether downstream owners have accepted the repaired state.
    • UNKNOWN: Whether production behavior matches the intended control.

    These unknowns define the exact evidence required before closure without guessing.

    Decision and handoff

    Keep the case open until the required evidence is attached, the responsible owner is identifiable, and the acceptance condition is demonstrably satisfied. Preserve the original record and append corrections rather than silently rewriting history.

    If the workflow changes later, retain the superseded reasoning and link the new decision to the evidence that caused the change. A later reviewer should be able to reconstruct the chain from request to evidence, decision, action, and verification.

    Closure rule

    Close only when the requested result is supported by evidence. A completed status, saved form, successful navigation, or verbal assurance is not sufficient on its own. The closure record must show what was checked, what changed, who owns the result, and which condition was actually satisfied.

    Acceptance detail

    The final review should explicitly revisit these dimensions: exception rationale, approval authority and scope, compensating controls, expiry and ownership, residual risk and closure evidence. For each one, record the source evidence, current state, expected state, difference, owner, and validation result. If any dimension remains unknown, keep it open or record a bounded exception with an expiry and owner.

    Final conclusion

    The correct disposition for this supplied case is to continue remediation, not to declare success. The evidence is sufficient to identify the gap and define the next actions, but it is not sufficient to claim the repaired state already exists.

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    About this skill

    Policy exceptions often linger without proper oversight, creating hidden security debts and compliance gaps. This skill enforces a rigorous review process for rationale, authority, and compensating controls to ensure every exception is justified and tracked.

    What it does

    • Evidence extraction identifies concrete facts, constraints, and unknowns from supplied documentation.
    • Authority validation checks if the approval scope and ownership align with organizational policy boundaries.
    • Control assessment evaluates the effectiveness and current status of mandated compensating controls.
    • Risk analysis calculates residual risk and defines the specific evidence required for closure or renewal.
    • Actionable remediation identifies bounded corrective actions and assigns accountable owners for resolution.

    How it works

    1. Provide the specific policy exception text, evidence logs, or workspace files for analysis.
    2. The skill extracts raw facts and identifies missing authorization or expired control data.
    3. It generates a case-specific conclusion followed by verified findings and deterministic validation steps.
    4. It outputs a structured report detailing corrective actions and the specific rules required for closure.

    Frameworks & tools

    This skill is designed for GRC (Governance, Risk, and Compliance) workflows and works with standard policy documentation, security control logs, and internal audit evidence.

    Why this beats prompting it yourself

    Generic prompts often return high-level advice or blank frameworks that require manual filling. This skill follows a strict execution contract to produce deterministic, case-specific conclusions tied directly to provided evidence without hallucinating system access.

    Use cases

    • Reviewing legacy firewall rule exceptions for valid business rationale and expiry.
    • Auditing temporary administrative access grants against compensating controls.
    • Validating evidence submitted to close out internal audit findings.
    • Analyzing residual risk in multi-cloud environments where standard policies cannot be met.

    Known limitations

    Does not perform live system testing or external API calls. Analysis is strictly limited to provided evidence or accessible workspace files.

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

    Cannot verify external systems or facts not present in supplied evidence. With partial context it returns explicit evidence gaps instead of fabricated outcomes.

    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 controlled workspace or supplied evidence. Review owner decisions and proposed changes before operational action.

    Listed1 month ago
    Updated8 days ago

    What's inside

    Frequently Asked Questions

    This skill automates the labor-intensive process of auditing policy exceptions by verifying that every waiver has a valid business justification, authorized sign-off, and active compensating controls. It helps GRC teams eliminate 'hidden security debt' and ensures exceptions don't become permanent vulnerabilities.

    This skill is compatible with most major AI agent platforms that support file uploads or workspace context, including ChatGPT, Claude, and internal enterprise LLM environments. It works by processing your uploaded policy documents and evidence logs directly within the agent's interface.

    Upon purchase, you receive the production-ready skill configuration and a detailed implementation guide. This includes the logic for evidence extraction, authority validation frameworks, and the structured reporting templates used for audit-ready outputs.

    Setup is near-instant; once the skill is added to your agent's workspace, you simply need to provide your internal policy text or evidence logs. No complex API integrations are required, as the skill operates on the documentation you provide for each review.

    To maintain data privacy and audit integrity, this skill does not connect to live systems or external databases. It performs a deterministic analysis strictly based on the logs and documentation you upload, ensuring it never 'hallucinates' access to your private infrastructure.

    Purchasing this skill grants you access to future updates, including refinements to the risk analysis logic and updated reporting structures. You will receive notifications through the marketplace when a new version is available for deployment.

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