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Eve Agent Native Design

Checked
incept5·vlatest·agents·MIT

Generates Incept5-compatible agent configurations and workflows directly within the Eve ecosystem for streamlined deployment.

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 incept5/eve-skillpacks --skill eve-agent-native-design -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

incept5

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 incept5/eve-skillpacks at d8b938d71f.

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

Scanned
2 files, 333 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

eve-agent-native-design

What it does

This skill enables AI agents to generate native design assets directly within their execution environment. It allows for the creation of visual elements that are immediately usable by applications without requiring external file transfers or manual integration steps.

When to use it

  • Rapidly prototyping UI components during a development sprint.
  • Generating custom icons or logos on the fly for specific user requests.
  • Creating visual data representations like charts or diagrams from raw text inputs.
  • Automating design asset generation for marketing materials within an agent workflow.

Key capabilities

  • Direct native asset generation within the agent context.
  • Creation of visual elements usable by applications immediately.
  • Streamlined workflow eliminating external file dependencies.

Example prompts

  • "Create a set of navigation icons for my new mobile app dashboard."
  • "Generate a line chart visualizing the sales data I just provided in the conversation."
  • "Design a simple logo concept for a coffee shop startup based on these keywords."

Tips & gotchas

Ensure your agent has the necessary permissions to write or render assets within its native environment. This skill is most effective when used in workflows where immediate visual feedback is required, rather than for high-fidelity production graphics that need extensive manual refinement.