BeautifulRust: Agent Skills that teach coding agents to write, review, and port idiomatic Rust, plus a tested clippy config

by morganlinton · Claude Skill · ★ 1.1k

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

How to install BeautifulRust

claude plugin install beautiful-rust --marketplace morganlinton/BeautifulRust
/plugin marketplace add morganlinton/BeautifulRust

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-skillsclaude-codeclaude-pluginclaude-skillsclippycode-reviewcoding-agentcursorruststyle-guide

Quick Facts

Stars1,113
Forks47
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score69/100
Open Issues2
Last Updated2026-10-26
Created2026-10-23
Platformsclaude-code, cli, codex, gemini, python
Est. Tokens~14k

About BeautifulRust

Beautiful Rust A Claude Code plugin with one skill, , that teaches Claude to write idiomatic, robust, maintainable Rust. Once installed, it loads automatically whenever a task involves Rust, cargo, crates, the borrow checker, clippy, or files.

Compatible Skills

These tools work well together with BeautifulRust for enhanced workflows:

  • agentic-sop-to-work — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (63%)
  • claude-code-docs — 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 Claude Skill tools