shortcuts-playground-plugin: Shortcuts Playground: A Claude Code and Codex plugin for building, validating, signing, and remixing macOS/iOS

by viticci · Codex Skill · ★ 1.2k

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

Security audit verdict: SAFE · quality 77/100

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.

appleautomationclaudecodexiosipadosmacosshortcuts

Quick Facts

Stars1,164
Forks62
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score77/100
Open Issues15
Last Updated2026-06-15
Created2026-04-14
Platformsclaude-code, codex, python
Est. Tokens~16k

About shortcuts-playground-plugin

Shortcuts Playground Create Apple Shortcuts with natural language using Claude Code or Codex. Shortcuts Playground is a plugin for Claude Code and Codex that lets you turn any idea into a shortcut for Apple's Shortcuts app. Describe what you want in plain English; a few minutes later, you get a real, signed file ready to import into the Shortcuts app.

Compatible Skills

These tools work well together with shortcuts-playground-plugin for enhanced workflows:

  • apple-mail-mcp — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (56%)
  • generate-shortcuts-skill — semantic(0.50)+complementary+similar_pop+shared_platform (52%)
  • cc-notifier — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • apple-mail-fast-mcp — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (51%)

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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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