shots: Claude Code/Agent Skill for making App Store Screenshot generator with GPT Image 2

by hypersocialinc · Agent Tool · ★ 233

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

How to install shots

npx skills add hypersocialinc/shots
npx skills add hypersocialinc/shots --global

Taken from the project's README on GitHub. Check the security audit before running it.

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. 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.

app-store-screenshotsgpt-imagegpt-image-2

Quick Facts

Stars233
Forks21
LanguageJavaScript
CategoryAgent Tool
Quality Score66/100
Last Updated2026-04-27
Created2026-04-25
Platformsclaude-code, node
Est. Tokens~509k

About shots

/shots Claude Code & Agent Skill to generate Upload-ready App Store screenshots that drive installs — powered by GPT-Image 2. Demo — from App Store URL to finished screenshots Type /shots in Claude Code.

Compatible Skills

These tools work well together with shots for enhanced workflows:

  • aso-skills — semantic(0.57)+complementary+similar_pop+shared_platform (60%)
  • ios-marketing-capture — semantic(0.42)+complementary+similar_pop+shared_platform (55%)
  • claude-image — semantic(0.37)+complementary+rare_topics+similar_pop+shared_platform (53%)

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Looking for a shots alternative? If you're comparing shots with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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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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