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Agent Output Formats

Checked
akaszubski·vlatest·agents

Defines structured output formats (JSON, CSV, XML) for akaszubski's agent to ensure consistent data delivery.

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 akaszubski/autonomous-dev --skill agent-output-formats -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

akaszubski

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 akaszubski/autonomous-dev at 34311ec486.

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

Commit
34311ec486
Manifest
plugins/autonomous-dev/skills/archived/agent-output-formats/SKILL.md
Scanned
1 file, 374 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 structure their output in specific, predefined formats. It enables consistent data delivery for downstream tools and processes. The agent can generate outputs as JSON, CSV, or Markdown, ensuring compatibility with various applications and workflows.

When to use it

  • Data Extraction & Reporting: When an agent needs to extract information from a website and present it in a structured format for analysis (e.g., generating a CSV of product prices).
  • Content Creation Pipelines: To produce content like blog posts or documentation that adheres to specific formatting requirements (e.g., Markdown for a static site generator).
  • API Integration: When an agent's output needs to be consumed by another application via an API, ensuring the data is in a compatible format (e.g., JSON for a web service).
  • Automated Task Execution: To provide structured results from automated tasks that can then trigger subsequent actions or workflows.

Key capabilities

  • JSON output generation
  • CSV output generation
  • Markdown output generation
  • Predefined format templates

Example prompts

  • "Generate a JSON object containing the title and description of this article."
  • "Create a CSV file with the names and prices of these products."
  • "Format the following text as Markdown for inclusion in a blog post."

Tips & gotchas

The agent's ability to generate correctly formatted output depends on clear instructions and well-defined templates. Ensure the desired format is explicitly specified in the prompt for optimal results.