Privacy Notice Gap Checker

    1

    Privacy notices are often riddled with vague language, missing disclosures, and contradictions that create significant regulatory risk.

    $6.99

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIDeepSeekDeepSeekMuseMuse+22 more

    Privacy Notice Gap Checker

    Example session with this skill installed

    Review this draft privacy notice for a UK SaaS. It says 'we keep data as long as necessary' but our policy says 6 years. It also fails to mention our use of AWS for hosting in the US.

    • Read your context and instructions
    • Compiled the privacy notice gap

    I have completed the gap review for the UK SaaS privacy notice. The analysis identifies material inconsistencies between your internal policy and the public disclosures, specifically regarding retention periods and international transfers.

    Privacy Notice Gap Review

    1. Scope, Jurisdiction and Confidence

    • Organisation: [Name] SaaS
    • Jurisdiction: UK (UK GDPR)
    • Confidence: Medium. Retention policy provided, but specific AWS contract safeguards are unverified.

    2. Notice Coverage Map

    Disclosure TopicSupplied WordingOperational FactStatusVerification Note
    Data Retention"as long as necessary"6 years per internal policyConflictUpdate notice to reflect specific term
    Sharing/TransfersNot mentionedAWS (USA)MissingVerify transfer mechanism (IDTA/SCCs)

    3. Prioritised Gap Register

    IDIssueSourceEvidencePriorityAction
    G-001Vague retention termSection 4Policy v1.2HighReplace with specific retention criteria
    G-002Missing US transferN/ADevOps MapHighAdd AWS disclosure and US transfer basis

    4. Draft Improvements (Subject to Approval)

    Issue: G-001 (Retention)

    • Original: "We keep your personal data for as long as necessary to fulfill the purposes we collected it for."

    Proposed: "We retain your personal data for a period of six years following the termination of your account to comply with our legal and accounting obligations."

    • Confirmation Required: Confirm if any categories (e.g., logs) have shorter cycles.

    Issue: G-002 (AWS/Transfers)

    • Original: [Gap]

    Proposed: "We share your information with our hosting provider, Amazon Web Services (AWS), located in the United States. We ensure a similar degree of protection is afforded to it by [CONFIRM: UK International Data Transfer Agreement / SCCs]."

    Next steps

    • Verify the specific legal mechanism used for US data transfers with AWS.
    • Confirm if the 6-year retention period applies to all data types or just financial records.
    • Submit the draft improvements to your legal counsel for final sign-off.

    Disclaimer: This output is a preliminary gap triage and requires professional legal review before publication.

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

    About this skill

    Privacy notices are often riddled with vague language, missing disclosures, and contradictions that create significant regulatory risk. This skill reviews public-facing privacy notices to identify gaps between actual data processing activities and what is publicly disclosed. It produces a structured, evidence-based register that maps every clause to operational facts, highlighting ambiguities and omissions without inventing legal rules.

    What it does

    • Clause mapping extracts and categorizes specific notice excerpts regarding data categories, purposes, and sharing.
    • Gap identification builds a facts-to-notice crosswalk to find unsupported statements or missing operational disclosures.
    • Remediation drafting provides plain-language suggested improvements with clearly labeled conditional placeholders.
    • Triage prioritization assigns priority levels to omissions based on their impact on individual rights and transparency.
    • Action planning generates a traceable register with owner roles, verification requirements, and approval checkpoints.

    How it works

    1. Scope definition requires input of the notice text, business activities, and specific jurisdictions involved.
    2. Analysis execution compares the supplied notice against confirmed operational facts like retention schedules and recipient categories.
    3. Report generation delivers a full gap register, a prioritised action plan, and a list of outstanding legal verification questions.

    Frameworks & tools

    This tool works with any public-facing privacy notice text and internal processing records. It supports reviews for various jurisdictions including GDPR, UK GDPR, and state-specific privacy laws when provided with a user-defined checklist.

    Why this beats prompting it yourself

    Generic prompts often hallucinate legal requirements or assume a single jurisdiction applies globally. This skill enforces a strict evidence hierarchy, ensuring every finding is tied to either the notice text or a confirmed operational fact rather than a template.

    Use cases

    • Auditing an existing website privacy notice for missing third-party processor disclosures.
    • Mapping a draft notice against a newly created internal processing inventory.
    • Identifying vague retention language and drafting specific, fact-based alternatives.
    • Preparing a prioritized action list for a privacy team ahead of a formal legal review.

    Known limitations

    This is a gap-triage tool, not a legal compliance audit or certificate. It cannot select lawful bases, invent retention periods, or confirm legal applicability without user-supplied facts.

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

    Does not provide legal certification or compliance advice. Requires user-supplied processing facts and jurisdictions to be effective. Cannot invent retention periods or lawful bases.

    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.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 18 days ago

    Permissions

    Read Files
    Write Files
    Listed18 days ago

    What's inside

    Frequently Asked Questions

    The skill acts as a bridge between your actual data practices and your public disclosures; it identifies where your notice is vague, contradicts your internal records, or omits required details like specific third-party categories or retention periods.

    You will need to provide the full text of your current privacy notice and a summary of your operational facts, such as your data inventory, processing purposes, and a list of third-party vendors.

    No, the skill is framework-agnostic and will analyze your notice against whatever jurisdictional requirements or internal checklists you provide, making it suitable for GDPR, CCPA, or custom regional standards.

    Your purchase includes the specialized Privacy Notice Gap Checker skill, a template for organizing your operational facts, and a structured output format for generating your remediation action plan.

    This skill is designed to perform the heavy lifting of mapping and triage, but the final output includes a 'verification checklist' specifically for your legal team to review and approve the suggested language.

    Updates are released periodically to enhance the logic for identifying vague language and to improve the evidence-mapping hierarchy, ensuring your reports remain highly accurate as data practices evolve.

    New in Legal & Compliance