prompt-challenges — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

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 erweixin · MCP Server · ★ 50

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is prompt-challenges safe to install? View the security audit →

About prompt-challenges

Prompt Challenges A learning path for everyday users: from one-shot chatbot queries to Cursor-style IDE collaboration and OpenClaw-style local agent governance with MCP, Skills, and harness thinking. Built with Astro 5, deployed for Cloudflare Pages (static pages + Worker for ). Live content lives in (Markdown + frontmatter; organized by , with bilingual readings and practices across the full path). Learning resources on the home page are grouped by stage: structured prompting, tools / IDE collaboration, MCP, local agents, Skills, harnesses, and safety. Legacy Next.js site is in (reference only). Archived old questions are in . Scripts Scoring API Practice pages call . Set the same key as before: For Cloudflare Pages, add in the project Environment variables (production / preview). Optional: if you use a different OpenAI-compatible base URL. Local Worker emulation: Cloudflare Pages Build command

llmprompt-engineeringprompt-learningprompt-toolkitprompts

Quick Facts

Stars50
Forks6
LanguageTypeScript
CategoryMCP Server
Quality Score63.9548134565173/100
Last Updated2026-04-10
Created2025-04-02
Platformsmcp, node
Est. Tokens~41k

prompt-challenges alternative? Top 6 similar tools

Looking for a prompt-challenges alternative? If you're comparing prompt-challenges with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • promptdesk by promptdesk · ⭐ 100

    Promptdesk is a tool designed for effectively creating, organizing, and evaluating prompts and large language

  • lagune by wellwelwel · ⭐ 159

    🌊 Lagune is your security copilot as you build, your Blue Team when you audit, whether you're a developer or

  • banks by masci · ⭐ 128

    LLM prompt language based on Jinja. Banks provides tools and functions to build prompts text and chat messages

  • blue-spec by wellwelwel · ⭐ 69

    🌊 Your security copilot as you build, your Blue Team when you audit, whether you're a developer or not.

  • TagForge by SiliconeShojo · ⭐ 68

    Advanced AI tagging and prompt generation studio.

  • agent-skills by jdrhyne · ⭐ 241

    A collection of AI agent skills for Clawdbot, Claude Code, Codex

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Frequently Asked Questions

What is prompt-challenges?

prompt-challenges is A practical LLM learning path from clear prompting to tool use, IDE collaboration, MCP, Skills, and harness-driven agent workflows.. It is categorized as a MCP Server with 50 GitHub stars.

What programming language is prompt-challenges written in?

prompt-challenges is primarily written in TypeScript. It covers topics such as llm, prompt-engineering, prompt-learning.

How do I install or use prompt-challenges?

You can find installation instructions and usage details in the prompt-challenges GitHub repository at github.com/erweixin/prompt-challenges. The project has 50 stars and 6 forks, indicating an active community.

What are the best alternatives to prompt-challenges?

The top alternatives to prompt-challenges on Agent Skills Hub include promptdesk, lagune, banks. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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