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 dontriskit · Agent Tool · ★ 6.2k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is awesome-ai-system-prompts safe to install? View the security audit →
Crafting Effective Prompts for Agentic AI Systems: Patterns and Practices Table of Contents Introduction: The Blueprint of Agentic AI The Foundation: Core Principles of Agentic Prompts Clear Role Definition and Scope Structured Instructions and Organization Explicit Tool Integration and Usage Guidelines Step-by-Step Reasoning and Planning Environment and Context Awareness Domain-Specific Expertise and Constraints Safety, Alignment, and Refusal Protocols Consistent Tone and Interaction Style Case Studies: Analyzing Real-World Prompts Vercel v0: UI Generation & Component Tooling same.new: Agentic Pair Programming & Strict Tooling Manus: General Purpose Agent & Explicit Loop [OpenAI ChatGPT (GPT-4.5/4o): I
| Stars | 6,218 |
| Forks | 910 |
| Language | TypeScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 60.757722158849/100 |
| Open Issues | 27 |
| Last Updated | 2026-02-20 |
| Created | 2025-03-05 |
| Platforms | claude-code, node |
| Est. Tokens | ~26k |
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awesome-ai-system-prompts is 🧠 Curated collection of system prompts for top AI tools. Perfect for AI agent builders and prompt engineers. Incuding: ChatGPT, Claude, Perplexity, Manus, Claude-Code, Loveable, v0, Grok, same new, w. It is categorized as a Agent Tool with 6.2k GitHub stars.
awesome-ai-system-prompts is primarily written in TypeScript.
You can find installation instructions and usage details in the awesome-ai-system-prompts GitHub repository at github.com/dontriskit/awesome-ai-system-prompts. The project has 6.2k stars and 910 forks, indicating an active community.
awesome-ai-system-prompts is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to awesome-ai-system-prompts on Agent Skills Hub include open-saas, notebooklm-skill, agent-skills. 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: