cc-polymath: Claude Code skills and workflows, optimized for context-efficiency and skill quality

by rand · Claude Skill · ★ 177

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

Featured in: Claude Code Skills

How to install cc-polymath

/plugin marketplace add rand/cc-polymath
/plugin install cc-polymath@cc-polymath

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

aiclaude-codeskills

Quick Facts

Stars177
Forks12
LanguagePython
CategoryClaude Skill
LicenseMIT
Quality Score69/100
Open Issues2
Last Updated2026-02-28
Created2025-10-18
Platformsclaude-code, python
Est. Tokens~572k

About cc-polymath

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...

Compatible Skills

These tools work well together with cc-polymath for enhanced workflows:

  • awesome-claude-skills — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (59%)
  • marketplace — semantic(0.37)+complementary+same_lang+similar_pop+shared_platform (58%)
  • claude-reflect-system — semantic(0.36)+complementary+same_lang+similar_pop+shared_platform (58%)
  • Agentic-SEO-Skill — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (57%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse Claude Skill tools