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 nokonoko1203 · Codex Skill · ★ 93
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-settings safe to install? View the security audit →
Claude Code Settings Best Practices English | 日本語 A repository collecting best practices for Claude Code settings and customization. We will continue to update and improve this repository to make it even better. Note: Some settings in this repository are specifically configured for Japanese users. Please use LLM to translate and adapt them appropriately to your environment. The configuration files in this repository are designed to be placed under directory. By placing these configuration files in the appropriate locations, you can customize Claude Code's behavior and build an efficient development environment. Approach Models are powerful enough now that complex configuration is unnecessary. Over-configuring can actually be counterproductive. This repository focuses on a few high-impact areas only. Claude Code has a rich set of slash commands. Master these first — add custom configuration later.
| Stars | 93 |
| Forks | 15 |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 66.1522869498054/100 |
| Last Updated | 2026-03-04 |
| Created | 2025-07-17 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~15k |
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claude-code-settings is Best Practices for Claude Code Configuration. It is categorized as a Codex Skill with 93 GitHub stars.
You can find installation instructions and usage details in the claude-code-settings GitHub repository at github.com/nokonoko1203/claude-code-settings. The project has 93 stars and 15 forks, indicating an active community.
claude-code-settings is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-code-settings on Agent Skills Hub include agnix, deepcontext-mcp, CodexFlow. 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: