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 Piebald-AI · Claude Skill · ★ 12.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is claude-code-system-prompts safe to install? View the security audit →
Check out Piebald We've released Piebald, the ultimate agentic AI developer experience. \ Download it and try it out for free! https://piebald.ai/ Scroll down for Claude Code's system prompts. :pointdown: Claude Code System Prompts [!important] NEW (January 23, 2026): We've added all of Claude Code's 40 system reminders to this list—see System Reminders. This repository contai
| Stars | 12,815 |
| Forks | 2,039 |
| Language | JavaScript |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 57.6983022563698/100 |
| Open Issues | 9 |
| Last Updated | 2026-10-02 |
| Created | 2025-11-18 |
| Platforms | browser, claude-code, node |
| Est. Tokens | ~25k |
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claude-code-system-prompts is All parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, securit. It is categorized as a Claude Skill with 12.8k GitHub stars.
claude-code-system-prompts is primarily written in JavaScript. It covers topics such as claude-code, claude-code-system-prompts, system-prompts.
You can find installation instructions and usage details in the claude-code-system-prompts GitHub repository at github.com/Piebald-AI/claude-code-system-prompts. The project has 12.8k stars and 2039 forks, indicating an active community.
claude-code-system-prompts is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to claude-code-system-prompts on Agent Skills Hub include serena, ai-guide, claude-seo. 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: