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Result

Checked
parallel-web·vlatest·data·MIT

This skill extracts key results from text, streamlining information retrieval and boosting productivity for quick data analysis.

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 parallel-web/parallel-agent-skills --skill result -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

parallel-web

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 parallel-web/parallel-agent-skills at 8fc1fc426e.

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

Commit
8fc1fc426e
Manifest
skills/result/SKILL.md
Scanned
1 file, 20 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

The result skill provides a mechanism for AI agents to explicitly return or output specific data structures, ensuring that complex outputs are delivered in a standardized, machine-readable format rather than as unstructured text. It allows agents to finalize interactions by presenting calculated values, lists, or objects directly to the user or downstream systems.

When to use it

  • You need an agent to return precise numerical calculations, such as financial summaries or statistical averages.
  • The workflow requires passing structured data (like JSON objects) between different AI steps or external APIs.
  • You want to ensure consistent output formatting for parsing by scripts or other automation tools.
  • The task involves generating a definitive list of items that must be strictly adhered to without conversational fluff.

Key capabilities

  • Explicitly outputs defined data structures (e.g., objects, arrays, primitives).
  • Enforces strict formatting rules for returned values.
  • Facilitates direct data handoff between agent components.

Example prompts

  • "Calculate the total cost of these items and return the result as a JSON object with 'total' and 'currency' keys."
  • "List all active users in the system and output the result as an array of user IDs."
  • "Run this analysis and provide the final score as a single integer value using the result skill."

Tips & gotchas

Ensure your agent is configured to recognize when a specific data structure is requested versus natural language conversation. This skill is best used for terminal outputs or structured data exchange rather than open-ended dialogue.