spotkit: A Claude Code skill that turns a feature description into minimal, abstract SVG product illustrations

by Devesh-Shirsath · Claude Skill · ★ 79

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 66/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

ai-toolsanthropicclaude-codeclaude-skilldesign-automationdesign-systemdesign-toolsempty-statefigmagenerative-design

Quick Facts

Stars79
Forks9
LanguageHTML
CategoryClaude Skill
LicenseMIT
Quality Score66/100
Open Issues2
Last Updated2026-10-08
Created2026-09-08
Platformsclaude-code
Est. Tokens~17k

About spotkit

Spotkit A Claude Code skill that turns a feature description into a clean, abstract product illustration — as real SVG, not a picture of one. Twelve features, twelve layouts, one set of rules — and the same twelve files in both themes, from twelve CSS variables. What it does You say: Create an illustration for API version management.

Compatible Skills

These tools work well together with spotkit for enhanced workflows:

  • xiaohu-ip-studio — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (67%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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