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Effect Best Practices

Checked
makisuo·vlatest·other·MIT

Analyzes actions to ensure they align with established best practices and avoid unintended negative consequences.

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 makisuo/skills --skill effect-best-practices -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

makisuo

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 makisuo/skills at 7feda456cc.

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

Commit
7feda456cc
Manifest
effect-best-practices/SKILL.md
Scanned
10 files, 3,826 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

The effect-best-practices skill provides guidance on implementing best practices when working with effects in software development, particularly within AI agent frameworks. It helps ensure that effects—such as side effects or asynchronous operations—are handled efficiently and safely.

When to use it

  • When designing modular components that require handling side effects like API calls or state updates
  • When ensuring clean separation of concerns between business logic and effect management
  • When optimizing performance in AI agent workflows involving multiple asynchronous tasks

Key capabilities

  • Guidance on organizing effect logic for maintainability
  • Recommendations for error handling and cleanup in effects
  • Best practices for testing and debugging effects in AI agents

Example prompts

  • "How should I structure my effects to ensure they are testable?"
  • "What are the best ways to handle errors in asynchronous effects?"
  • "Can you provide a template for managing side effects in an AI agent workflow?"

Tips & gotchas

  • Ensure that your framework or environment supports effect management before applying these practices.
  • Avoid overcomplicating simple tasks with unnecessary effect layers—keep it modular but not overly abstracted.