dotfiles: Computer setup and settings. Apple Silicon ready

by br3ndonland · Codex Skill · ★ 84

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

Security audit verdict: CAUTION · quality 58/100

Flagged: sudo usage. 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.

aiapple-siliconclaude-codecodexdotfileshomebrewmacosopencodestrap

Quick Facts

Stars84
Forks12
LanguageStarlark
CategoryCodex Skill
LicenseMIT
Quality Score58/100
Last Updated2026-10-18
Created2019-03-13
Platformsclaude-code, codex
Est. Tokens~27k

About dotfiles

Dotfiles Brendon Smith (br3ndonland) Table of Contents Overview What Why How Hardware macOS Homebrew package management mise-en-place Git Shell Text editors VSCode desktop VSCode browser Fonts Language-specific setup JavaScript Python PGP GPG Keybase Proton Mail SSH Key generation Connecting to GitHub SSH agent forwarding 1Password SSH features General productivity Media Science Overview What...

Compatible Skills

These tools work well together with dotfiles for enhanced workflows:

  • code-notify — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • unsloth-buddy — semantic(0.39)+complementary+rare_topics+similar_pop+shared_platform (58%)
  • vggt-mps — semantic(0.53)+complementary+rare_topics+similar_pop+shared_platform (58%)
  • dotfiles — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)

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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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