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Age Gating Services

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mukul975
age-gating-services

Implements age-gating mechanisms for online services to restrict access based on user age. Covers hard gates versus soft gates, neutral age prompts, re-verification triggers, circumvention prevention, and regulatory requirements under GDPR, COPPA, UK Online Safety Act, and DSA. Keywords: age gate, age restriction, neutral prompt, children, online services, access control.

Overview

Publishermukul975
RepositoryPrivacy-Data-Protection-Skills
Skill nameage-gating-services
Stars
279
Forks
59
Bundled files
4
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mukul975 on GitHub. Read the source before you install it.

Installation

Install the Age Gating Services AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mukul975/Privacy-Data-Protection-Skills.git /tmp/Privacy-Data-Protection-Skills
mkdir -p .claude/skills
cp -r /tmp/Privacy-Data-Protection-Skills/plugins/children-privacy-skills/skills/age-gating-services .claude/skills/age-gating-services
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Age Gating Services in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Age Gating Services on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Age Gating Services is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Age-Gating Implementation for Online Services

Overview

Age-gating is the practice of restricting or adapting access to an online service based on the user's age. It serves as the enforcement mechanism that translates age verification results into access control decisions. Age-gating can take the form of a hard gate (complete denial of access below a specified age), a soft gate (modified experience with reduced features or enhanced protections for younger users), or an adaptive gate (progressively adjusting the service experience based on age brackets). Effective age-gating must balance child protection, user experience, accessibility, and compliance with GDPR Art. 8, COPPA, the UK Online Safety Act 2023, the EU Digital Services Act Art. 28, and the UK AADC Standard 3.

Types of Age Gates

Hard Gate — Complete Access Denial

Description: Users below a specified age are entirely prevented from accessing the service.

When to Use:

  • Age-restricted products and services regulated by law (gambling: 18+, alcohol sales: 18+/21+, adult content: 18+)
  • Services where the risk to children cannot be adequately mitigated through design measures
  • Where the business model is fundamentally incompatible with child safety (e.g., real-money trading, cryptocurrency exchanges)

Implementation Requirements:

  • Display a clear message explaining why access is denied: "This service is only for people aged 18 and older"
  • Do not collect or retain the personal data of users who are denied access (beyond what is needed for the gate)
  • Provide information about alternative age-appropriate services where possible
  • Do not use the denied user's data for any purpose including analytics

Regulatory Basis:

  • UK Gambling Act 2005: Age verification mandatory for remote gambling operators
  • UK Online Safety Act 2023 Section 11: Providers must prevent children from encountering primary priority harmful content
  • EU DSA Art. 28(1): Online platforms accessible to minors must implement age-appropriate measures

Soft Gate — Modified Experience

Description: Users identified as below a certain age are permitted access to the service but with modified features, enhanced privacy protections, or restricted content.

When to Use:

  • Services with mixed audiences (adults and children)
  • Services where children benefit from access but require additional protections
  • Educational platforms, social media platforms, and content-sharing services

Implementation:

  • Define age tiers with specific feature sets for each tier
  • Apply the UK AADC "high privacy by default" standard for child users
  • Disable features that pose elevated risks to children (direct messaging with strangers, public profiles, behavioural advertising)
  • Enable features appropriate to the age group (moderated forums, educational content, age-appropriate recommendations)

Example (BrightPath Learning):

FeatureUnder 88-1213-1516-1718+
Account creationParent-managed onlyParent-approvedIndependent with parental notificationIndependentIndependent
Profile visibilityNot applicablePrivate onlyPrivate (default), friends-only availablePrivate (default), public availableUser choice
Direct messagingDisabledPre-set messages onlyModerated text with contacts onlyUnmoderated with contactsUnrestricted
Content recommendationsCurated by editorsContent-based algorithmContent-based algorithmContent + behavioural (opt-in)Full personalisation
Data sharingNoneNoneNone (default)Optional with consentPer privacy policy
AdvertisingNoneNoneContextual onlyContextual onlyBehavioural (with consent)

Adaptive Gate — Progressive Access

Description: The service dynamically adjusts the user experience based on the estimated or verified age of the user, applying progressively fewer restrictions as the user ages.

When to Use:

  • Services designed for long-term user relationships where the user will age through multiple tiers
  • Platforms that want to provide a seamless experience without sharp access changes

Implementation:

  • Define age-linked feature unlocking schedule
  • Notify the user (and parent, if applicable) when new features become available due to ageing
  • Require re-verification of age at key threshold transitions (e.g., when a user reaches 13, 16, or 18)
  • Document the rationale for each feature unlock in terms of the child's best interests

Neutral Age Prompt Design

A neutral age prompt collects the user's age without signalling the "correct" answer or the age threshold being applied. This is critical to preventing trivial circumvention.

Design Principles

  1. Do not reveal the threshold: The prompt must not indicate what age is required. Avoid: "You must be 13 or older to use this service. Enter your date of birth." Instead: "Enter your date of birth."

  2. Use a date-of-birth field, not an age field: Date of birth is harder to game than a simple "How old are you?" field, which children can answer with any number above the threshold.

  3. Use a scrollable date picker with a neutral default: The date picker should not default to a date that suggests the "correct" answer. Default to no selection or to the current date (which would result in age 0, prompting a genuine entry).

  4. Do not provide immediate feedback: If the user enters a date that makes them below the threshold, do not immediately display "You are too young." This teaches the child to re-enter with a false date. Instead, complete the registration flow and then inform the parent.

  5. Implement cooling-off periods: If a user is denied access due to age, set a cookie or device fingerprint that prevents immediate re-attempt with a different date. A 24-hour cooling-off period is a common minimum.

  6. Do not ask leading questions: Avoid "Are you 13 or older?" which tells the child exactly what to say. Use "What year were you born?" or "Enter your date of birth."

ICO Guidance on Neutral Prompts

The ICO's Age Assurance guidance (published alongside the AADC) states: "If you use age self-declaration you should not design it in a way that encourages, or makes it easy for, a child to input a false age. Your age gate should not present the age required, or make it obvious what a child should enter to circumvent the gate."

COPPA FTC Guidance

The FTC has stated in enforcement actions (e.g., Musical.ly/TikTok 2019) that age gates must be designed so that "the age screen does not encourage the child to enter a false age." The FTC views a non-neutral age gate as evidence of actual knowledge that the service is collecting data from children.

Circumvention Prevention

Technical Measures

MeasureDescriptionEffectiveness
Cookie-based lockoutSet a persistent cookie when a user fails the age gate, preventing re-attempt for 24-72 hoursModerate — cookies can be cleared
Device fingerprintingUse browser/device characteristics to identify re-attempts from the same deviceModerate-High — more difficult to circumvent than cookies
IP-based rate limitingLimit the number of age gate attempts from the same IP address within a time windowLow — IP addresses change; shared IPs (schools) create false positives
Email verification loopRequire email verification before account creation; underage users who fail the gate cannot reuse the same emailModerate — children can create new email addresses
Progressive escalationAfter a failed self-declaration, require a higher-assurance verification method for subsequent attemptsHigh — escalates the difficulty of circumvention
Parental consent as backstopEven if a child circumvents the gate, parental consent is required before meaningful data collection beginsHigh — shifts the verification burden to the parent

Organisational Measures

  1. Staff training: Customer support staff must be trained to handle age-related inquiries without revealing the age threshold
  2. Monitoring: Regularly analyse registration data for patterns suggesting circumvention (e.g., disproportionate number of users declaring exactly the minimum age)
  3. Complaint handling: Establish a process for parents to report that their child has circumvented the age gate
  4. Periodic re-verification: At key milestones (annual account review, feature unlock), re-verify the user's age

Re-Verification Triggers

Age gates should not be a one-time check. The following events should trigger re-verification:

TriggerActionRationale
User reaches a new age tier (e.g., turns 13, 16, 18)Confirm age and unlock/modify featuresEnsures age-appropriate experience as user matures
Account recoveryVerify age before restoring accessPrevents account sharing or transfer to a younger user
Request to change date of birthRequire parental verification for changes to age dataPrevents children from aging themselves up
Suspicious activity patternsEscalate to higher-assurance verificationBehavioural signals inconsistent with declared age
Annual account reviewConfirm continued accuracy of age declarationRegular hygiene check
Feature upgrade requestVerify age if the feature is restricted to older usersPrevents premature access to age-restricted features

BrightPath Learning Inc. — Age-Gating Architecture

Registration Flow

User visits brightpathlearning.eu
├─ "Enter your date of birth" [scrollable date picker, no default selection]
├─ Age calculated from DOB and current date
├─ Age >= applicable threshold (country-dependent, 13-16)?
│  ├─ YES → Standard registration flow for independent user
│  │         ├─ Verification: email confirmation
│  │         └─ Experience: Standard features with AADC-compliant defaults
│  │
│  └─ NO → Child registration flow
│           ├─ "Please ask a parent or guardian to help you sign up"
│           ├─ Child enters parent's email address
│           ├─ Parent receives direct notice with consent request
│           ├─ Parent completes verification (credit card micro-transaction)
│           ├─ Parent reviews and approves processing purposes
│           └─ Child account created with age-appropriate restrictions
├─ Age < 8?
│  ├─ YES → Parent-managed-only account
│  │         ├─ Parent sets up account entirely
│  │         ├─ Child cannot modify settings
│  │         └─ Simplified interface (illustrated, limited text)
│  │
│  └─ NO → Child-managed account with parental oversight
│           ├─ Child can navigate the app independently
│           ├─ Parent dashboard shows activity and can modify settings
│           └─ Age-appropriate interface (text with icons)
└─ User enters DOB indicating age < 5?
   └─ "This app is designed for children aged 5 and older.
       Please come back when you're a bit older!"
       [No data retained from this interaction]

Circumvention Prevention Implementation

  1. Cookie lockout: If a user's entered DOB results in age below 5, a secure cookie is set preventing re-attempt for 48 hours
  2. No threshold exposure: The app never states the minimum age. The registration flow adapts seamlessly based on age
  3. Parental backstop: Even if a child enters a false DOB to skip the consent flow, the service collects only minimal data until email verification is completed. Without verified email, the account is limited to a demo mode with no persistent data
  4. Anomaly detection: Weekly automated analysis of registration data flags accounts where the declared DOB is exactly at the threshold (e.g., exactly 13 years old), prompting manual review

Regulatory Compliance Matrix

RequirementGDPR Art. 8COPPAUK AADC Std 3UK OSAEU DSA Art. 28
Age screening requiredYesYesYesYesYes
Neutral prompt requiredImpliedFTC guidanceICO guidanceOfcom codesImplied
Parental consent below thresholdYesYesRecommendedN/AN/A
Hard gate for restricted contentNoNoNoYes (harmful content)Implied
Soft gate for mixed servicesImpliedImpliedYesYesYes
Re-verification requiredImpliedImpliedRecommendedImpliedImplied
Data minimisation at gateArt. 5(1)(c)312.7Standard 8ImpliedImplied

Common Compliance Failures

  1. Non-neutral age gate: Displaying the minimum age requirement or using "Are you over 13?" prompts that teach children to lie
  2. No circumvention prevention: Allowing unlimited re-attempts with different dates of birth
  3. Collecting data before gating: Running analytics trackers, setting advertising cookies, or collecting device identifiers before the age gate is completed
  4. Hard gate when soft gate is appropriate: Denying all children access to a service that could safely serve children with modified features
  5. No re-verification: Treating the initial age declaration as permanent without any mechanism for ongoing verification
  6. Age gate as compliance theatre: Implementing an easily circumvented age gate and then treating it as full compliance with COPPA or GDPR Art. 8

Integration Points

  • Age Verification Methods: Age-gating is the enforcement layer that acts on the results of age verification or estimation
  • GDPR Parental Consent: The age gate determines whether parental consent is required and routes the user accordingly
  • UK AADC Implementation: AADC Standard 3 requires age-appropriate application, which is implemented through age-gating
  • Children's Privacy Notice: The age gate result determines which privacy notice version is displayed
  • Children's Data Minimisation: Data collection at and before the age gate must comply with data minimisation principles

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Age Gating Services AI skill do?

Implements age-gating mechanisms for online services to restrict access based on user age. Covers hard gates versus soft gates, neutral age prompts, re-verification triggers, circumvention prevention, and regulatory requirements under GDPR, COPPA, UK Online Safety Act, and DSA. Keywords: age gate, age restriction, neutral prompt, children, online services, access control.

Why use Age Gating Services on TypingMind?

Because you install it once and use it with any model. Age Gating Services is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Age Gating Services in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mukul975/Privacy-Data-Protection-Skills/tree/main/plugins/children-privacy-skills/skills/age-gating-services. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Age Gating Services?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Age Gating Services?

As many as you like. As long as a model supports skills, you can use Age Gating Services with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Age Gating Services AI skill free?

Yes. It is published on GitHub by mukul975 under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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