More screenshots

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    📱 App Privacy Manifest Consistency Gate

    1

    Reconcile SDK, required-reason API, data-use, privacy-manifest, and questionnaire evidence before an App Store release.

    $19

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned
    📱 App Privacy Manifest Consistency Gate

    📱 App Privacy Manifest Consistency Gate

    Example session with this skill installed

    An ads SDK has no shipped manifest, requires disk-space APIs, collects device identifiers, and the saved questionnaire says tracking while the app manifest says no tracking.

    • Read your context and instructions
    • Compiled the app privacy manifest

    Gate: BLOCK. Missing SDK manifest, undeclared API category, unapproved reason, data-type mismatch, tracking conflict, and unresolved identity-linkage review.

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

    About this skill

    App Privacy Manifest Consistency Gate compares a normalized Apple privacy manifest export with SDK inventory, required-reason API usage, a supplied approved-reason policy, and a saved questionnaire snapshot. It blocks missing SDK manifests, undeclared categories, unapproved reasons, data-type mismatches, tracking conflicts, and unreviewed identity-linkage judgments. It never guesses privacy answers or submits a release.

    What it produces

    • Cross-file privacy findings CSV
    • JSON owner-submission gate with trust boundary
    • Review memo for developer and privacy owner
    • Counts for SDK, API usage, and declared data types

    Use cases

    • Review a release before App Store submission
    • Catch SDK-required API categories absent from the app manifest
    • Compare collected-data declarations with the questionnaire snapshot
    • Keep owner-only privacy judgments unresolved instead of guessed

    Known limitations

    • The tool uses normalized evidence and does not scan compiled binaries or arbitrary source trees.
    • The approved-reason policy must be refreshed against current Apple documentation by the owner.
    • A consistent result does not guarantee App Store acceptance or legal compliance.

    The tool uses normalized evidence and does not scan compiled binaries or arbitrary source trees. The approved-reason policy must be refreshed against current Apple documentation by the owner. A consistent result does not guarantee App Store acceptance or legal compliance.

    Open docs

    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.

    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 16 days ago

    Permissions

    Terminal / Shell
    Read Files
    Write Files

    File Scopes

    manifest.json
    sdks.csv
    api-usage.csv
    questionnaire.json
    policy.json
    privacy-audit/**

    The deterministic helper reads supplied local evidence and writes only to the selected audit output directory.

    Listed3 months ago

    What's inside

    Frequently Asked Questions

    This skill acts as a pre-submission validator that identifies discrepancies between your app's declared privacy manifest, your actual SDK inventory, and Apple's required-reason API usage to prevent rejection or auditing issues.

    No, this tool does not scan raw source code or binaries; it processes normalized JSON/CSV evidence exports from your build pipeline to perform its cross-reference analysis.

    You get the core logic for the consistency gate, a template for the approved-reason policy, and the schema for the JSON owner-submission gate used to finalize privacy judgments.

    This skill is designed for modular mobile DevOps agents and can be integrated into CI/CD workflows that support JSON-based evidence processing and LLM-driven analysis.

    While the gate tracks technical consistency, you must manually update your internal approved-reason policy whenever Apple introduces new API requirements or privacy category changes.

    The skill blocks the release process by flagging missing manifests or data-type mismatches, ensuring a human privacy owner makes the final judgment rather than allowing the AI to guess answers.

    New in Mobile Development