本文へ移動
cccskills
無料GitHub で公開

dsar-intake-system

Builds a multi-channel DSAR intake system supporting web form, email, phone, and in-person requests with identity verification tiers, automated routing logic, SLA tracking, and response generation. Activate for DSAR intake, rights request portal, multi-channel intake, SLA tracking, request management queries.

インストール方法を見る

含まれるファイル(5)

  • SKILL.md9.4 KB
  • assets/template.md4.4 KB
  • references/standards.md2.4 KB
  • references/workflows.md4.8 KB
  • scripts/process.py11.2 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Building a Universal DSAR Intake System

Overview

A universal DSAR intake system centralises the receipt, verification, routing, and tracking of all data subject rights requests across multiple channels. This skill provides the architectural design, identity verification framework, routing logic, SLA management, and response generation capabilities needed to operate a compliant and efficient rights request management programme.

System Architecture

Multi-Channel Intake

The intake system must accept requests from all channels through which data subjects may contact the organisation:

ChannelIntake MethodProcessing
Web formDedicated privacy rights portal at meridiananalytics.co.uk/privacy/rightsAutomated capture, structured data, immediate acknowledgement
Emaildsar@meridiananalytics.co.uk (dedicated monitored inbox)Semi-automated: email parser extracts key fields, manual triage
TelephonePrivacy hotline: +44 20 7946 0958 (staffed Mon-Fri 09:00-17:00 GMT)Agent-assisted: agent completes intake form during call
Postal mailData Protection Office, 47 Canary Wharf Tower, London E14 5ABManual: scanned, digitised, entered into system within 2 business days
In-personReception desk at registered officeAgent-assisted: staff member completes intake form
Social mediaDirect messages on official channelsRedirect to formal channel; do not process rights requests via social media

Central Request Register

All requests from all channels feed into a single central register with the following record structure:

FieldDescription
ReferenceAuto-generated: [TYPE]-YYYY-NNNN (e.g., DSAR-2026-0142)
Receipt dateUTC timestamp of initial receipt
ChannelSource channel
Request typeAccess (Art. 15), Erasure (Art. 17), Portability (Art. 20), Restriction (Art. 18), Rectification (Art. 16), Object (Art. 21), Marketing opt-out (Art. 21(2)), Automated decision (Art. 22), CCPA know, CCPA delete, CCPA opt-out
Data subject nameAs provided by requester
Data subject identifiersEmail, account number, other identifiers provided
Verification statusPending / Verified / Failed
Verification tierLow / Medium / High
AssigneePrivacy team member responsible
PriorityStandard / Complex / Urgent
StatusReceived / Acknowledged / Verifying / Processing / QA Review / Delivered / Closed
DeadlineCalculated response deadline
ExtensionWhether extension has been applied
NotesFree text for processing notes

Identity Verification Framework

Tiered Verification

TierWhen AppliedRequirementsClock Behaviour
Tier 1 — Low RiskRequest from authenticated account (logged-in portal, verified email)Confirm account ownership via existing authenticationClock starts immediately
Tier 2 — Medium RiskRequest from known email address (matches records) but not authenticatedProvide 2 of: date of birth, account number, postal code, last 4 digits of payment methodClock starts on verification
Tier 3 — High RiskRequest from unknown channel, or request on behalf of another personGovernment-issued photo ID + one additional identifier. Third-party requests: signed authorisation from data subject + ID for bothClock starts on verification

Verification Workflow

[Request Received]
         │
         ▼
[Determine Verification Tier]
   │
   ├── Authenticated channel? ──► Tier 1 (auto-verified)
   ├── Known identifier matches? ──► Tier 2 (request 2 data points)
   └── Unknown channel / third party? ──► Tier 3 (request ID + authorisation)
         │
         ▼
[Verification Request Sent (within 3 business days)]
         │
         ▼
[Verification Response Received?]
   ├── Yes ──► [Data Points Match?]
   │             ├── Yes ──► Mark Verified, start clock
   │             └── No ──► Request additional info (one retry)
   │                          ├── Second attempt matches ──► Verified
   │                          └── Second attempt fails ──► Close as Unverified
   │
   └── No response (30 days) ──► Close as Abandoned

Routing Logic

Automated Request Classification

Upon intake, the system classifies and routes requests based on:

  1. Request type (extracted from web form selection or email keywords):

    • Access/DSAR → DSAR team
    • Erasure/Deletion → Erasure team
    • Portability/Export → Portability team
    • Marketing opt-out → Marketing Operations (immediate processing)
    • CCPA requests → US Privacy team
    • Regulatory complaint → DPO + Legal
  2. Complexity assessment:

    • Standard: single request type, single jurisdiction, < 5 data systems
    • Complex: multiple request types, cross-border, > 5 data systems, or involving exemptions
    • Urgent: regulatory enquiry, legal deadline, or data subject facing imminent harm
  3. Jurisdiction detection:

    • UK/EU data subject → GDPR workflow (30-day deadline)
    • California resident → CCPA workflow (45-day deadline)
    • Other US state → Applicable state privacy law workflow
    • Other jurisdiction → Assess applicable law, default to GDPR standard

Routing Matrix

Request TypeAssigneePrioritySLA
DSAR (Art. 15) — StandardPrivacy AnalystStandard30 days
DSAR (Art. 15) — ComplexSenior Privacy AnalystComplex30 days (extendable to 90)
Erasure (Art. 17)Privacy AnalystStandard30 days
Portability (Art. 20)Data Engineer + Privacy AnalystStandard30 days
Rectification (Art. 16)Privacy AnalystStandard30 days
Restriction (Art. 18)Senior Privacy AnalystStandard30 days + 72h implementation
Object (Art. 21)DPOComplex30 days + immediate cessation
Marketing opt-out (Art. 21(2))Marketing OperationsUrgent24 hours
Automated decision (Art. 22)DPO + Technical LeadComplex30 days
CCPA KnowPrivacy AnalystStandard45 days
CCPA DeletePrivacy AnalystStandard45 days
CCPA Opt-OutMarketing OperationsUrgent15 business days
Regulatory complaintDPO + General CounselUrgentPer DPA deadline

SLA Tracking

Dashboard Metrics

MetricTargetMeasurement
Acknowledgement within 3 business days100%(Acknowledged requests / Total requests) within 3 business days
Response within statutory deadline100%(On-time responses / Total responses)
Average response time< 20 calendar daysSum of response days / Number of completed requests
Verification completion rate> 95%(Verified requests / Total requests requiring verification)
Extension rate< 15%(Extended requests / Total requests)
First-contact resolution (marketing opt-out)100% within 24h(Resolved within 24h / Total marketing opt-outs)

Escalation Rules

ConditionEscalation
20 days elapsed, response not deliveredAlert to assignee and team lead
25 days elapsed, response not deliveredAlert to DPO
28 days elapsed, response not deliveredAlert to DPO + General Counsel (emergency priority)
Extension notification not sent by day 28Alert to DPO (compliance risk)
Verification pending > 14 daysAlert to assignee (follow up with data subject)

Response Generation

Automated Response Components

The system generates responses by assembling modular components:

  1. Cover letter: Standard header, addressee, reference number, opening paragraph.
  2. Right-specific content: Template paragraph for each right type.
  3. Data compilation: System-generated data extract (for access requests).
  4. Supplementary information: Art. 15(1)(a)-(h) information block (for access requests).
  5. Redaction log: Automatically generated from redaction flags (for access requests with exemptions).
  6. Third-party notification log: Recipients notified under Art. 19 (for erasure/rectification/restriction).
  7. Rights information: Standard block listing the data subject's other rights and complaint mechanisms.
  8. Sign-off: DPO name and contact details.

Quality Assurance Checklist

Before any response is sent, the QA reviewer verifies:

  • Response addresses all elements of the relevant GDPR article
  • Data extract is complete (all identified systems queried)
  • Redactions are legally justified and documented
  • Response deadline has been met (or extension properly communicated)
  • Response is in clear, plain language per Art. 12
  • Delivery method is secure (encryption, secure portal, or registered post)
  • DPO sign-off obtained

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Implements 42 CFR Part 2 protections for substance use disorder patient records. Covers written consent requirements stricter than HIPAA, re-disclosure prohibition, court order procedures, qualified service organization agreements, and 2024 amendments aligning Part 2 with HIPAA. Keywords: 42 CFR Part 2, substance use disorder, SUD records, re-disclosure, consent, Part 2 amendments.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Guides assessment of third-country adequacy decisions under GDPR Article 45 for international data transfers. Covers the current EC adequacy decisions list, adequacy assessment criteria, partial adequacy handling, and monitoring of adequacy decision reviews. Keywords: adequacy decision, Article 45, third country, adequate protection, EC adequacy list.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

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.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Evaluates and implements age estimation and verification technologies for online services. Covers facial age estimation, digital ID verification, self-declaration with risk assessment, AI-based age estimation, and the accuracy versus privacy tradeoff. Includes ICO guidance and euCONSENT framework. Keywords: age verification, age estimation, facial analysis, digital ID, children, online safety.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Preparing EU AI Act compliance documentation for high-risk AI systems. Covers Annex III classification, technical documentation under Art. 11, conformity assessment, risk management systems, and CE marking requirements. Keywords: EU AI Act, high-risk AI, Annex III, conformity assessment, CE marking.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

Implements GDPR Art. 22 automated decision-making and AI Act Art. 14 human oversight requirements for AI systems. Covers identification of solely automated decisions, meaningful human intervention design, logic explanation mechanisms, and contestation procedures. Keywords: Art. 22, automated decision, human oversight, AI Act, profiling, contestation.

日本語の概要は準備中です。原文の説明を表示しています。

mukul975/Privacy-Data-Protection-Skills3032026年3月17日 更新

mukul975 のスキルをすべて見る

このスキルの問題を報告する