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 rand · Claude Skill · ★ 126
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cc-polymath safe to install? View the security audit →
Atomic Skills for Claude Code Context-efficient development knowledge via progressive skill discovery New? Start Here Install in 30 seconds: Your first 3 commands: Learn more: 📖 Getting Started Guide - 5-minute quick start 💬 Example Conversations - See it in action 🆘 Troubleshooting - Common issues & solutions ❓ FAQ - Quick answers This repository solves a tradeoff problem: how to give Claude Code access to comprehensive development knowledge without overwhelming its context window on boot. The solution is atomic, composable skills organized through a multi-tier discovery system. The Problem: Context vs Coverage Using the default mechanism with many atomic skills yields a dilemma: Load everything upfront → 25K+ tokens consumed before any real
| Stars | 126 |
| Forks | 7 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68.6761169251858/100 |
| Open Issues | 2 |
| Last Updated | 2026-02-28 |
| Created | 2025-10-18 |
| Platforms | claude-code, python |
| Est. Tokens | ~572k |
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cc-polymath is Claude Code skills and workflows, optimized for context-efficiency and skill quality. Skills ranging from cloud infrastructure to design to advanced maths.. It is categorized as a Claude Skill with 126 GitHub stars.
cc-polymath is primarily written in Python. It covers topics such as ai, claude-code, skills.
You can find installation instructions and usage details in the cc-polymath GitHub repository at github.com/rand/cc-polymath. The project has 126 stars and 7 forks, indicating an active community.
cc-polymath is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cc-polymath on Agent Skills Hub include n8n-claw, open-skills, agents. 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: