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Relay Pagination

Checked
thebushidocollective·vlatest·backend

This skill automatically generates paginated responses for lengthy outputs, improving readability and user experience by breaking down large datasets.

Repository

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 thebushidocollective/han --skill relay-pagination -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

thebushidocollective

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 thebushidocollective/han at 19caa51d5f.

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

Commit
19caa51d5f
Manifest
plugins/frameworks/relay/skills/relay-pagination/SKILL.md
Scanned
1 file, 826 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

What it does

This skill enables AI agents to handle data retrieval with pagination, breaking large datasets into smaller, manageable chunks. It allows agents to request and process data in pages, improving efficiency and preventing memory overload when dealing with extensive information sources. The agent can specify page size and number for retrieving the desired amount of data.

When to use it

  • Fetching product listings from an e-commerce API that supports pagination.
  • Retrieving a large list of customer records from a database, displaying them in pages.
  • Downloading articles from a news website with paginated archives.
  • Processing a very long log file by reading it page by page.

Key capabilities

  • Pagination support for data retrieval
  • Specifiable page size
  • Specifiable number of pages to retrieve

Example prompts

  • "Get the first 50 products from the online store, paginated."
  • "Retrieve 10 pages of customer records from the database."
  • “Fetch articles from the news archive, showing 25 articles per page.”

Tips & gotchas

The agent needs to be aware that data is being retrieved in pages and may need to handle potential errors if a page is unavailable. Ensure the API or data source you are using actually supports pagination.