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Stylekit Style Prompts

Listed
anxforever·vlatest·ai-ml·MIT

Generates creative image prompts based on StyleKit styles for diverse artistic outputs and rapid visual exploration.

Repository

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This skill no longer installs under the name stylekit-style-prompts. anxforever/stylekit-skill has no skill named "stylekit-style-prompts" any more. It was renamed, moved or deleted upstream.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-07. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

anxforever

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 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: stylekit.top, www.stylekit.top.

    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

    www.stylekit.topundeclaredapi.openai.commodel providercodeload.github.comsource hoststylekit.topundeclared127.0.0.1local

    What it found (3 of 7)

    • scripts/benchmark.py:71contacts www.stylekit.top
      def fetch_spec(slug: str, base_url: str = "https://www.stylekit.top/api/styles") -> dict:
    • scripts/benchmark.py:150contacts www.stylekit.top
      def run_task(task: dict, llm: bool = False, model: str = "gpt-4o-mini", base_url: str = "https://www.stylekit.top/api/styles") -> dict:
    • scripts/benchmark.py:195contacts www.stylekit.top
      parser.add_argument("--base-url", default="https://www.stylekit.top/api/styles", help="StyleKit API base used to fetch specs")

  • 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 anxforever/stylekit-style-prompts-skill at ab36d80198.

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

Commit
ab36d80198
Manifest
SKILL.md
Scanned
22 files, 4,685 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.
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About this skill

What it does

The stylekit-style-prompts skill provides pre-defined prompt templates for various design styles. It allows users to quickly generate prompts suitable for image generation models, streamlining the creative process and ensuring consistent aesthetic results. This skill simplifies creating visually appealing content across different artistic directions.

When to use it

  • Generating marketing materials: Quickly create prompts for social media posts or advertisements with a specific visual style (e.g., "retro," "cyberpunk").
  • Creating concept art: Explore different artistic styles for character design, environment concepts, or product mockups.
  • Prototyping UI/UX designs: Generate visual representations of user interfaces using prompts tailored to modern or minimalist aesthetics.
  • Experimenting with AI image generation: Easily test and compare the output of various prompt templates to discover new creative possibilities.

Key capabilities

  • Pre-defined style templates
  • Prompt generation for image models
  • Consistent aesthetic results
  • Streamlined creative workflow

Example prompts

  • "Generate a prompt for a futuristic cityscape in a 'cyberpunk' style."
  • "Create a prompt for a portrait of a woman with a 'renaissance painting' look."
  • "Give me a prompt for a product shot using the 'minimalist' style."

Tips & gotchas

This skill relies on an underlying image generation model. The quality and interpretation of the generated prompts will depend heavily on the capabilities of that external model.