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Data Catchall

Checked
chipagosfinest·vlatest·other

Quickly gathers diverse data from various sources based on a broad query, compiling it into a unified report.

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 chipagosfinest/enterprise-team --skill data-catchall -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

chipagosfinest

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 chipagosfinest/enterprise-team at 34de43974f.

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

Scanned
1 file, 41 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

The data-catchall skill provides a central repository for storing and retrieving various types of data. It allows agents to quickly access information without needing specific, pre-defined knowledge bases. This skill is designed to be flexible and adaptable to different data formats and structures.

When to use it

  • Rapid Prototyping: Quickly store and retrieve experimental data during AI agent development.
  • Dynamic Information Storage: Manage frequently changing information that doesn't fit into a structured database (e.g., real-time updates, temporary logs).
  • Centralized Data Access: Provide agents with a single point of access to diverse datasets.
  • Fallback Knowledge Source: Use as a catch-all for data the agent might need but isn’t explicitly trained on.

Key capabilities

  • Data Storage: Stores various data types and formats.
  • Data Retrieval: Allows retrieval based on keywords or identifiers.
  • Centralized Repository: Acts as a single source of truth for diverse data.
  • Flexible Data Structures: Handles unstructured or semi-structured information.

Example prompts

  • "Store this text: 'The meeting is rescheduled to 3 PM.'"
  • "Retrieve all entries related to project X."
  • "Save this JSON object: {‘name’: ‘Alice’, ‘age’: 30}.”
  • “What’s the latest update on customer order #12345?”

Tips & gotchas

The skill's effectiveness depends on clear and consistent data labeling for easy retrieval. It is not designed to replace structured databases, but rather serve as a flexible supplementary storage solution.