swift-bylaws: Architectural linting for Swift developers and coding agents

by theblixguy · Codex Skill · ★ 52

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

Security audit verdict: SAFE · quality 63/100

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.

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.

aiarchitecturebazelclaudeclaude-codeclicode-qualitycode-reviewcodexcopilot

Quick Facts

Stars52
Forks2
LanguageSwift
CategoryCodex Skill
LicenseMIT
Quality Score63/100
Open Issues6
Last Updated2026-11-06
Created2026-08-24
Platformsclaude-code, cli, codex, gemini
Est. Tokens~22k

About swift-bylaws

Bylaws Bylaws is an architectural linter for Swift, built for developers and coding agents. [![Swift versions][Swift versions badge]][Swift Package Index] [![Platforms][Platforms badge]][Swift Package Index] [![CI][CI badge]][CI] https://github.com/user-attachments/assets/6e900ccc-5033-43ed-9179-19ce325ebe08 Read the [documentation] for guides and the API reference.

Compatible Skills

These tools work well together with swift-bylaws for enhanced workflows:

  • swift-claude-code — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • swift-coding-agent — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (62%)
  • workflow-audit — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)

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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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