Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
55
65%
Does it follow best practices?
Impact
54%
1.80xAverage score across 10 eval scenarios
Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./resources/skills/algorithmic-art/SKILL.mdThe canonical home for this skill is algorithmic-art in anthropics/skills
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill fetches instructions or code from an external URL at runtime, and the fetched content directly controls the agent’s prompts or executes code. This dynamic dependency allows the external source to modify the agent’s behavior without any changes to the skill itself.
Potentially malicious external URL detected (high risk: 0.70). The skill's generated HTML artifact loads and executes the external p5.js runtime from the CDN (https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.7.0/p5.min.js) at runtime and the artifact explicitly requires that library to run, so this remote script is a runtime-executed dependency.
b8dbc89
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