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Prospero Types Skill

Listed
prospero-digital·vlatest·agents

This skill analyzes text to determine its primary type (e.g., news, blog, technical) for improved content understanding and categorization.

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 prospero-digital/prospero-types --skill prospero-types-skill -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

prospero-digital

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 4 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: feross.org, opencollective.com, patreon.com, www.patreon.com.

    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.

    Hosts contacted

    opencollective.comundeclaredgithub.comsource hostwww.patreon.comundeclaredfeross.orgundeclaredpatreon.comundeclared

    What it found (3 of 6)

    • package-lock.json:258contacts opencollective.com
      "url": "https://opencollective.com/js-sdsl"
    • package-lock.json:570contacts www.patreon.com
      "url": "https://www.patreon.com/feross"
    • package-lock.json:1745contacts www.patreon.com
      "url": "https://www.patreon.com/feross"

  • 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 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 prospero-digital/prospero-types at 0c461226fe.

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

Commit
0c461226fe
Manifest
SKILL.md
Scanned
60 files, 6,499 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 provides access to a collection of custom data types for use within AI agents. It allows users to define and utilize structured information, improving the agent's ability to reason about complex concepts and relationships. The skill facilitates creating more sophisticated workflows by enabling agents to interact with specialized datasets in a predictable manner.

When to use it

  • Complex Data Handling: When your agent needs to process data beyond simple text or numbers, such as structured product catalogs or scientific measurements.
  • Workflow Automation: To build automated processes that require specific data structures and validation rules.
  • Knowledge Representation: When you want the AI agent to understand and reason about relationships between entities in a more formal way than free-form text allows.
  • Custom Data Integration: When integrating with external systems or APIs that return data in custom formats.

Key capabilities

  • Definition of custom data types
  • Data validation based on type definitions
  • Structured data interaction
  • Type inference for data processing

Example prompts

  • "Define a 'Product' data type with fields: name, price, description."
  • "Create an agent workflow that uses the 'Product' data type to find products under $50."
  • "Validate this data against the 'Customer' data type: [customer data]"

Tips & gotchas

This skill requires a foundational understanding of data structures and how AI agents process information. Ensure your data types are clearly defined for optimal performance and accuracy; ambiguous definitions can lead to unexpected behavior.