bama: Build Any Mac App

by daveebbelaar · Codex Skill · ★ 718

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

How to install bama

npx skills@latest add daveebbelaar/bama
/plugin marketplace add daveebbelaar/bama

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

Security audit verdict: SAFE · quality 69/100

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-agentsapp-cloneclaude-codeclaude-code-plugincodexcomputer-useliquid-glassmacosmacos-app

Quick Facts

Stars718
Forks107
LanguageSwift
CategoryCodex Skill
LicenseMIT
Quality Score69/100
Last Updated2026-10-29
Created2026-10-24
Platformsclaude-code, codex
Est. Tokens~17k

About bama

See an app you like. Rebuild it as your own native Mac app. Agent skills that take a native macOS app from idea to your Dock. Swift and SwiftUI. Local data. No Xcode GUI. Quick start · How it works · Skills · Specs · Install Quick start Then ask your agent: Not sure

Compatible Skills

These tools work well together with bama for enhanced workflows:

  • muster — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (66%)
  • SkillDeck — semantic(0.49)+complementary+same_lang+similar_pop (62%)
  • Claude-Usage-Monitor — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • poirot — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (62%)

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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:

View on GitHub → Browse Codex Skill tools