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Core Data

Checked
ahmed3elshaer·vlatest·data·MIT

Retrieves and summarizes key facts, figures, and context from diverse data sources quickly and accurately.

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 ahmed3elshaer/everything-claude-code-mobile --skill core-data -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

ahmed3elshaer

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 ahmed3elshaer/everything-claude-code-mobile at d94b24037d.

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

Commit
d94b24037d
Manifest
skills/core-data/SKILL.md
Scanned
2 files, 728 lines
Copies in repo
2 — all of them scanned
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

The core-data skill provides access to fundamental data structures and operations. It enables AI agents to manipulate lists, dictionaries, and sets efficiently. This includes tasks like sorting, filtering, searching, and performing basic mathematical calculations on these data collections.

When to use it

  • Data Transformation: When an agent needs to reformat or clean a dataset received from another skill.
  • Filtering Results: To narrow down search results based on specific criteria within a list of items.
  • Calculating Statistics: To derive insights like averages, sums, or counts from numerical data stored in lists.
  • Organizing Information: When an agent needs to structure unstructured information into a more manageable format (e.g., creating a dictionary from a text file).

Key capabilities

  • List manipulation (sorting, filtering)
  • Dictionary creation and access
  • Set operations (union, intersection)
  • Basic mathematical calculations on data collections

Example prompts

  • "Sort this list of numbers: [10, 5, 2, 8, 1]"
  • "Create a dictionary where the keys are names and the values are their ages."
  • "Find the common elements between these two lists: [a, b, c] and [b, d, e]"

Tips & gotchas

The skill relies on standard data structures. Ensure that input data is properly formatted (e.g., valid JSON or comma-separated values) for optimal results.