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Picoclaw

Checked
itechmeat·vlatest·other·MIT

Picoclaw generates detailed, step-by-step instructions for creating digital art, streamlining your creative process and boosting artistic output.

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 itechmeat/llm-code --skill picoclaw -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

itechmeat

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 itechmeat/llm-code at 7ae8a00524.

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

Commit
7ae8a00524
Manifest
skills/picoclaw/SKILL.md
Scanned
13 files, 1,010 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

The picoclaw skill allows AI agents to generate and manipulate images. It can create new images from text descriptions, modify existing images based on instructions, and perform various image editing tasks. This skill is designed for applications requiring visual content creation or modification within an automated workflow.

When to use it

  • Generating marketing visuals: Create social media graphics or ad banners based on textual prompts.
  • Automated photo editing: Automatically adjust brightness, contrast, or apply filters to a batch of images.
  • Creating illustrations for blog posts: Generate custom images to accompany written content.
  • Prototyping visual designs: Quickly create mockups and prototypes from text descriptions.

Key capabilities

  • Image generation from text prompts
  • Image modification based on instructions
  • Basic image editing (brightness, contrast)
  • Filter application

Example prompts

  • "Generate an image of a cat wearing a hat."
  • "Make this photo brighter and more vibrant."
  • "Apply a vintage filter to this picture."

Tips & gotchas

The quality of generated images depends heavily on the clarity and detail in the prompt. Complex or ambiguous prompts may yield unexpected results.