No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by cxuu · Codex Skill · ★ 139
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is golang-skills safe to install? View the security audit →
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, 48 reference files load on demand via progressive disclosure, 8 bundled scripts automate common checks, and 4 asset templates ensure consistent output. Skills Included API boundary
| Stars | 139 |
| Forks | 17 |
| Language | HTML |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 70.393015917622/100 |
| Last Updated | 2026-06-20 |
| Created | 2026-01-27 |
| Platforms | claude-code, codex |
| Est. Tokens | ~17k |
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golang-skills is AI Agent Skills for idiomatic, production-ready Go code, distilled from Google, Uber, Community. It is categorized as a Codex Skill with 139 GitHub stars.
golang-skills is primarily written in HTML. It covers topics such as agent-skills, ai-agent, ai-assistant.
You can find installation instructions and usage details in the golang-skills GitHub repository at github.com/cxuu/golang-skills. The project has 139 stars and 17 forks, indicating an active community.
golang-skills is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to golang-skills on Agent Skills Hub include Overture, skillport, deterministic-agent-control-protocol. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: