okdt

okdt / claude-code-hardening-cheatsheet

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A minimal, opinionated security hardening template for Claude Code settings.json

11
1
100% credibility
Found Mar 27, 2026 at 11 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This repository provides a Japanese cheatsheet and configuration samples for hardening and securely operating Claude Code, covering sandbox settings, permissions, hooks, and operational best practices with an English version included.

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AI-Generated Review

What is claude-code-hardening-cheatsheet?

This minimal, opinionated cheatsheet distills security hardening principles into ready-to-use settings.json templates for Claude Code, covering sandbox isolation, permission policies with deny/ask/allow rules, and custom hooks. It solves the problem of running AI code tools unsafely by providing progressive configs—from safe defaults for beginners to advanced checks—without needing official Anthropic docs deep dives. Users get copy-paste JSON snippets and Markdown guides in English and Japanese for immediate Claude Code lockdown.

Why is it gaining traction?

Unlike verbose official docs, this stands out as a github minimal template: concise, practical examples organized by risk, with logging for denied ops and OWASP-inspired notes on least privilege. Devs hook into it for quick wins like enabling sandbox in seconds, plus platform notes for macOS, Linux, and Windows. Its CC BY-SA license and related Codex CLI cheatsheet make it a go-to for opinionated security baselines.

Who should use this?

Security engineers integrating Claude Code into workflows who need deny lists for high-risk ops like network access. DevOps teams on macOS or WSL enforcing Human-In-The-Loop without enterprise DLP overhead. AI practitioners prompt-engineering code gen who want hooks for custom threat detection beyond pattern matching.

Verdict

Grab it if you're using Claude Code—solid docs and templates punch above the 11 stars and 1.0% credibility score, though it's early-stage with version-specific caveats. Test in non-prod first; pairs well with official refs for production hardening.

(178 words)

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