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Data Retention Archiving Planner

Checked
patricio0312rev·vlatest·productivity·MIT

Automatically plans optimal data retention and archiving schedules to minimize storage costs and ensure compliance.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add patricio0312rev/skills --skill data-retention-archiving-planner -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

patricio0312rev

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned patricio0312rev/skills at 79ea6af485.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
1 file, 411 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

data-retention-archiving-planner

What it does

This skill assists AI agents in generating structured plans for managing data lifecycle policies, specifically focusing on retention periods and archiving strategies. It helps organize complex compliance requirements into actionable steps for storage management.

When to use it

  • Defining legal hold periods for sensitive customer records in regulated industries.
  • Creating schedules for moving inactive logs from primary databases to cold storage.
  • Drafting procedures for securely deleting data that exceeds statutory retention limits.
  • Mapping file types to specific archival formats based on access frequency.

Key capabilities

  • Analyzes organizational data types to recommend appropriate retention windows.
  • Structures archiving workflows to ensure compliance with privacy regulations.
  • Identifies risks associated with premature data deletion or indefinite storage costs.

Example prompts

  • "Create a 30-day implementation plan for archiving email records older than five years."
  • "Outline the steps required to transition our financial logs to a secure, read-only archive."
  • "Generate a checklist for verifying that our current data retention policies meet GDPR standards."

Tips & gotchas

Ensure you provide specific regulatory contexts (e.g., HIPAA, GDPR) when requesting plans, as generic advice may not satisfy legal requirements. Always validate the generated archiving schedule with your organization's IT security team before execution.