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dataeq·vlatest·other

This skill applies a specified transformation to input tokens, streamlining workflows and automating consistent data manipulation.

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 dataeq/go-people-skills --skill apply -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

dataeq

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • No undeclared network calls: failed

    Contacts 1 host that is neither well-known infrastructure nor declared in the skill's frontmatter: go-people.goodoutcomes.ai.

    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.

    Hosts contacted

    go-people.goodoutcomes.aiundeclared

    What it found

    • plugins/apply-to-good-outcomes/skills/apply/references/openapi.yaml:7contacts go-people.goodoutcomes.ai
      - url: https://go-people.goodoutcomes.ai

  • 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 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 dataeq/go-people-skills at 0b142b555d.

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

Commit
0b142b555d
Manifest
plugins/apply-to-good-outcomes/skills/apply/SKILL.md
Scanned
2 files, 440 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 execute application logic, specifically designed for managing people-related workflows within the dataeq/go-people-skills ecosystem. It allows agents to trigger actions that simulate or automate human resource processes directly through code execution.

When to use it

  • Automating routine onboarding tasks like generating welcome emails or setting up user profiles.
  • Processing employee data updates in real-time based on specific triggers.
  • Executing batch operations for managing large lists of personnel records.
  • Integrating HR logic into broader automation pipelines without manual intervention.

Key capabilities

  • Direct execution of application logic via Go-based skills.
  • Specialized functionality for people and human resources management.
  • Seamless integration within the dataeq/go-people-skills framework.
  • Support for complex workflow automation scenarios.

Example prompts

  • "Use the apply skill to onboard a new employee by creating their profile and sending a welcome message."
  • "Execute an update on all active staff records to reflect the latest department changes."
  • "Run a batch process to generate access badges for the upcoming conference attendees."

Tips & gotchas

Ensure your AI agent has proper permissions within the dataeq/go-people-skills environment before attempting to modify personnel data. This skill is tightly coupled with the underlying Go infrastructure, so verify compatibility if integrating with external HR systems.