Icon Generator
v1.0.0Professional icon and logo generator for apps and websites. Use when user needs to create app icons, favicons, logos, or brand marks. Supports iOS, Android,...
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by@tobewin
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
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OpenClaw
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medium confidencePurpose & Capability
Name/description align with the actual contents: a Python-based icon generator using Pillow. Requiring python3 is proportional. Minor mismatch: the SKILL.md shows 'dependencies: pip install pillow' but the inlined code imports numpy (import numpy as np) in at least one function, which is not declared in the metadata.
Instruction Scope
The instructions and included Python code stay within the scope of generating icons (drawing shapes, text, gradients, exporting multiple sizes). The code references system font paths (/System/Library/Fonts..., /usr/share/fonts/...), which is reasonable for font fallback but does access local filesystem paths for fonts. There are no instructions to read unrelated user files or transmit data to external endpoints.
Install Mechanism
This is an instruction-only skill with no install spec and no bundled executables — lowest install risk. The SKILL.md includes a dependency hint ('pip install pillow') but no automatic installer. That means any pip installs would be performed manually by the host or agent; this is normal but be cautious when running pip from unknown sources.
Credentials
No environment variables, credentials, or config paths are requested. The code only accesses local font file paths and uses filesystem for output (expected for an image generator). No excessive or unrelated secrets or tokens are required.
Persistence & Privilege
The skill is not forced always-on (always:false) and does not request elevated persistence. Agent autonomous invocation is allowed (platform default) but not combined with any other elevated access in this skill.
Assessment
This skill appears coherent and self-contained, but take these precautions before running it: 1) Review the full SKILL.md code (it’s provided) so you understand what will run. 2) The code imports numpy but the declared dependency only mentions Pillow — install numpy (and Pillow) in a virtualenv before running. 3) Run the code in an isolated environment (virtualenv or container) rather than your primary system to avoid unintended pip installs or library changes. 4) Be aware the code reads system font files for rendering (normal for graphics tools) — if you have sensitive fonts, note they may be accessed locally. 5) Prefer to manually run pip commands after inspection rather than automatically executing unknown install instructions.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
🎨 Clawdis
Binspython3