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Effect Ts

Checked
kastalien-research·vlatest·agents

Effect Ts allows you to precisely control and manipulate game effects by tokenizing their properties for granular adjustments and automation.

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 kastalien-research/thoughtbox-dot-claude --skill effect-ts -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

kastalien-research

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

    Only contacts known or declared hosts: json-schema.org.

    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

    json-schema.orgstandards

  • 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 kastalien-research/thoughtbox-dot-claude at baa5b82e1e.

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

Commit
baa5b82e1e
Manifest
.claude/skills/effect-ts/SKILL.md
Scanned
1 file, 308 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 effect-ts skill provides functional reactive programming capabilities to AI agents. It enables the creation of data streams and transformations, allowing for asynchronous operations and side effects to be managed in a predictable and composable way. This facilitates building more complex agent behaviors that react to changes in data or environment over time.

When to use it

  • Real-time Data Processing: When your agent needs to respond to continuously updating information, like stock prices or sensor readings.
  • Asynchronous Task Management: To orchestrate multiple asynchronous operations (e.g., API calls) and handle their results gracefully.
  • Building Reactive UIs: When creating user interfaces where elements need to update automatically based on data changes.
  • Managing Side Effects: To control and coordinate actions that affect the external world, such as writing to a database or sending notifications.

Key capabilities

  • Functional reactive programming (FRP)
  • Data stream creation and transformation
  • Asynchronous operation handling
  • Side effect management
  • Composable operators for data processing

Example prompts

  • "Create a stream of temperature readings from the sensor, and alert me when it exceeds 30 degrees Celsius."
  • "Combine two API calls – one to get user details and another to fetch their order history – and display them together."
  • “Transform this list of strings into uppercase letters.”

Tips & gotchas

The skill requires a basic understanding of functional programming concepts. While powerful, complex reactive chains can become difficult to debug if not carefully structured.