golang-skills: AI Agent Skills for idiomatic, production-ready Go code, distilled from Google, Uber, Community

by cxuu · Codex Skill · ★ 173

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

Featured in: Claude Code Skills

How to install golang-skills

npx skills add cxuu/golang-skills --all
/plugin marketplace add cxuu/golang-skills

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 70/100

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.

agent-skillsai-agentai-assistantclaudeclaude-codecodexcursorgogolangllm

Quick Facts

Stars173
Forks19
LanguageHTML
CategoryCodex Skill
LicenseApache-2.0
Quality Score70/100
Last Updated2026-06-20
Created2026-01-27
Platformsclaude-code, codex
Est. Tokens~17k

About golang-skills

Agent Skills For Go AI Agent Skills for writing idiomatic, production-quality Go code. 20 modular skills teach AI coding assistants Go best practices derived from: Google Go Style Guide Effective Go Uber Go Style Guide Go Wiki CodeReviewComments Skills are tuned following agentskills.io best practices: content the agent already knows is omitted, procedural decision trees guide multi-step tasks,...

Compatible Skills

These tools work well together with golang-skills for enhanced workflows:

  • claude-code-skills — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • yume — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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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