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Effect Streams Pipelines

Checked
mepuka·vlatest·devops·MIT

Effect Streams Pipelines automates complex DevOps workflows by chaining together effect evaluations and stream transformations for efficient deployment.

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 mepuka/effect-ontology --skill effect-streams-pipelines -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

mepuka

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 mepuka/effect-ontology at c148102d57.

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

Commit
c148102d57
Manifest
.claude/skills/effect-streams-pipelines/SKILL.md
Scanned
1 file, 116 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 allows AI agents to define and manage effect streams, which are sequences of actions designed to achieve a specific outcome. It facilitates the creation of pipelines for automating complex tasks involving multiple steps and dependencies. Effect streams can be visualized and modified, enabling iterative refinement of processes.

When to use it

  • Automating repetitive workflows: Streamline tasks like data processing or report generation by defining an effect stream that executes each step automatically.
  • Orchestrating complex deployments: Manage infrastructure changes through a sequence of actions defined as an effect stream, ensuring consistent and reproducible results.
  • Building interactive tutorials: Create guided experiences where the AI agent guides a user through a series of steps by defining them in an effect stream.
  • Simulating scenarios: Model and test different sequences of events to understand their potential impact before execution.

Key capabilities

  • Definition of effect streams with sequential actions.
  • Visualization of effect stream workflows.
  • Modification and editing of existing effect streams.
  • Management of dependencies between actions within a stream.

Example prompts

  • "Create an effect stream to deploy the latest version of our application."
  • "Show me the visualization for the 'data-backup' effect stream."
  • "Modify the 'onboarding' effect stream to include a welcome email step."

Tips & gotchas

The effectiveness of this skill depends on having clearly defined actions available for the AI agent to execute within the streams. Ensure that the underlying tools and systems required by each action are accessible and configured correctly before defining an effect stream.