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Clojure Dev

Checked
octave-commons·vlatest·backend

This skill assists with Clojure development tasks like code generation and debugging, streamlining workflows for Clojure developers.

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 octave-commons/gates-of-aker --skill clojure-dev -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

octave-commons

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 octave-commons/gates-of-aker at a9a7b5658d.

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

Commit
a9a7b5658d
Manifest
.opencode/skills.disabled/clojure-dev/SKILL.md
Scanned
1 file, 52 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 enables AI agents to understand and generate Clojure code. It can be used for tasks like writing simple programs, debugging existing code snippets, or explaining complex Clojure concepts. The agent leverages its knowledge of Clojure syntax and semantics to produce functional and idiomatic code.

When to use it

  • Generating a basic Clojure function based on a description (e.g., "Write a function that calculates the factorial of a number").
  • Debugging a provided Clojure code snippet, identifying errors, and suggesting corrections.
  • Explaining what a specific Clojure expression does in plain English.
  • Translating an algorithm described in natural language into functional Clojure code.

Key capabilities

  • Clojure code generation
  • Clojure debugging
  • Code explanation
  • Algorithm translation to Clojure

Example prompts

  • "Write a Clojure function that reverses a string."
  • "Explain what this Clojure code does: (map inc [1 2 3])"
  • "Debug the following Clojure code and suggest fixes: (defn my-func [x] (+ x 1)) (my-func 'a')"

Tips & gotchas

The agent's performance is dependent on the complexity of the requested Clojure task. For more complex tasks, providing clear specifications or examples can improve the quality of the generated code.