claude-image-generation: Connect Claude to image generation with Agent Skills

by hassancs91 · Agent Tool · ★ 79

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

Security audit verdict: SAFE · quality 55/100

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. Full audit →

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.

agent-skillsai-imagesclaudeclaude-codecloudflare-workersdiffusion-modelsfluximage-generationstorybookthreejs

Quick Facts

Stars79
Forks55
LanguageHTML
CategoryAgent Tool
LicenseMIT
Quality Score55/100
Last Updated2026-08-18
Created2026-07-09
Platformsclaude-code
Est. Tokens~15k

About claude-image-generation

Claude × Image Generation Connect Claude to image generation with Claude Agent Skills — from zero-cost, code-only rendering up to a real diffusion model, then composed into a full app: an AI Storybook pipeline that turns a plain-English story into an illustrated, narrated, self-contained HTML book.

Compatible Skills

These tools work well together with claude-image-generation for enhanced workflows:

  • mcp-memory — semantic(0.25)+complementary+shared_fw(cloudflare)+same_lang+similar_pop+shared_platform (67%)

claude-image-generation alternative? Top 6 similar tools

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  • claudepro-directory by JSONbored · ⭐ 217

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  • mcp-image by shinpr · ⭐ 181

    MCP server for AI image generation and editing with automatic prompt optimization and quality presets. Support

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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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