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    Make Privacy Deletion Complete

    1

    Repair privacy deletion workflows that leave personal data behind in files, caches, search, analytics, logs, or third-party systems.

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    Make Privacy Deletion Complete

    Make Privacy Deletion Complete

    Example session with this skill installed

    Identify where user data lives in our Node/Postgres stack and help us implement a durable deletion worker that also hits our S3 buckets and search index.

    • Read your context and instructions
    • Compiled the make privacy deletion

    Project Detected: Node.js, PostgreSQL, AWS S3, Elasticsearch.

    Subject Boundary

    • Subject: User
    • Stable identity: user_id (UUID)
    • Tenant scope: organization_id
    • Authorization path: middleware/auth.js

    Data Inventory

    • Primary records: users, profiles, billing_methods
    • Derived data: activity_logs, audit_trail
    • Files and indexes: s3://uploads/user-{id}, es_index/users
    • External systems: Stripe, Postmark
    • Backups and logs: CloudWatch logs (retention: 90 days)

    Incomplete Erasure Found

    • S3 objects remain after DB row deletion
    • Data remaining: Profile images, CSV exports
    • Destination: AWS S3
    • Exposure or recreation risk: Publicly accessible signed URLs persist until expiration.

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

    About this skill

    The problem

    Standard account deletion often leaves fragments of personal data behind in search indexes, object storage, background job payloads, and third-party logs. Relying on simple database cascades fails to handle asynchronous systems, partial failures, or distributed data footprints.

    What it does

    • Traces personal data across relational databases, document stores, caches, and message queues.
    • Builds durable orchestration to manage multi-system erasure with idempotent retries.
    • Implements write barriers and tombstones to prevent data recreation from delayed processes.
    • Coordinates de-identification for shared business records and retained audit evidence.
    • Generates independent verification steps to prove data absence across every destination.

    Frameworks & tools

    Compatible with standard relational and document databases, S3-compatible object storage, Redis, Elasticsearch, and third-party API providers like Stripe, Segment, or SendGrid.

    Why this beats prompting it yourself

    Handling erasure manually often misses derived data in dead-letter queues or versioned storage buckets. This skill enforces a strict state model and subject-identity rules that prevent cross-tenant deletion and survive worker restarts, ensuring technical compliance that simple scripts cannot guarantee.

    Use cases

    • Repairing incomplete deletion logic that leaves orphaned files in object storage.
    • Implementing durable erasure workflows that handle third-party API rate limits.
    • Scrubbing personal identifiers from analytics events and log traces.
    • Preventing account recreation from repopulating search indexes with stale data.

    Known limitations

    Cannot rewrite immutable backups or physical archives. Does not provide legal advice or determine statutory retention periods.

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

    Cannot rewrite immutable backups. Requires existing technical evidence for data discovery. Does not determine legal retention obligations.

    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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    Recently published to Agensi

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    Trust & safety

    Security scan

    Security scan passed 3 months ago

    Software
    prismaNode.js

    Permissions

    Terminal / Shell
    Read Files
    Write Files

    Permissions are limited to the active local workspace and are used to inspect user-supplied or local workspace files; create or modify bounded local fixes, tests, documentation, or review artifacts; run repository-supported local tests, checks, builds, or parsing commands. The skill package does not require bundled credentials, unrestricted external network access, or automatic production changes.

    Listed3 months ago
    Updated9 days ago

    What's inside

    Frequently Asked Questions

    This skill automates the discovery and removal of data fragments that standard 'DELETE' commands miss, such as residues in S3 buckets, Redis caches, Elasticsearch indexes, and external API logs.

    It integrates with any AI agent capable of executing code or interacting with APIs, providing a structured state machine to manage multi-step erasure workflows across your stack.

    You will receive the pre-configured orchestration logic, identity mapping schemas, and the state model needed to handle idempotent retries across distributed systems.

    No, this skill is designed to target specific user identifiers; it uses strict identity rules and write barriers to ensure only the requested user's data is purged without affecting system-wide stability.

    Setup involves connecting your data source schemas and API credentials; the skill then maps your data footprint to its orchestration engine to begin managing erasure tasks.

    While it can scrub active logs and searchable indexes, it cannot modify immutable physical backups or WORM (Write Once, Read Many) storage due to the inherent nature of those systems.

    New in Agents & Orchestration