claude-code-riper-5 — security grade SAFE, quality 74/100

Security audit verdict: SAFE · quality 74/100

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 tony · Claude Skill · ★ 92

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

🔒 Is claude-code-riper-5 safe to install? View the security audit →

About claude-code-riper-5

RIPER Workflow for Claude Code Research • Innovate • Plan • Execute • Review A structured, context-efficient development workflow for Claude Code using custom slash commands and subagents. 🎯 Overview RIPER creates a controlled, guided flow that enforces separation between research, planning, and execution phases. This helps: Reduce context usage through specialized agents Prevent premature implementation before understanding Maintain clear documentation of decisions Enable reproducible development processes 🚀 Quick Start Installation Copy the directory to your project root: Update with your project details Customize with your tech stack and paths Optional: Add to to keep plans and reviews private: Or selectively ignore just plans and reviews while keeping memory bank structure: Note: If you accidentally commit these, remove them before merging: bash g

claude-codeclaude-subagentsriperriper-5subagentsubagents

Quick Facts

Stars92
Forks11
CategoryClaude Skill
LicenseMIT
Quality Score74.4135001663316/100
Open Issues2
Last Updated2026-08-16
Created2025-09-05
Platformsclaude-code
Est. Tokens~5k

Compatible Skills

These tools work well together with claude-code-riper-5 for enhanced workflows:

  • sub-agents.directory — semantic(0.50)+complementary+rare_topics+similar_pop+shared_platform (62%)
  • Claude-Zeroclaw — semantic(0.28)+complementary+rare_topics+similar_pop+shared_platform (54%)

claude-code-riper-5 alternative? Top 6 similar tools

Looking for a claude-code-riper-5 alternative? If you're comparing claude-code-riper-5 with other claude skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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    A CLAUDE.md Generator and Maintenance tool for for Claude Code to create high-quality CLAUDE.md instruction fi

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    Hands-on crash course for Claude Code with branch-based projects on MCP, subagents, hooks, and automation.

  • Claude-Zeroclaw by Crestdrasnip · ⭐ 181

    Claude-Zeroclaw — claude zeroclaw keyword code research. Open-source tool for automation and enhancement.

  • sub-agents.directory by ayush-that · ⭐ 144

    🐒 Sub-Agents Directory is a curated collection of 100+ sub-agent prompts and MCP servers for Claude Code.

  • learn-claude-code-rs by wulawulu · ⭐ 133

    Build an AI agent harness in Rust, from a minimal loop to tools, subagents, memory, teams, worktrees, MCP, a

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Frequently Asked Questions

What is claude-code-riper-5?

claude-code-riper-5 is Claude Code (Sub-agent, Custom Commands) for RIPER-5. It is categorized as a Claude Skill with 92 GitHub stars.

How do I install or use claude-code-riper-5?

You can find installation instructions and usage details in the claude-code-riper-5 GitHub repository at github.com/tony/claude-code-riper-5. The project has 92 stars and 11 forks, indicating an active community.

What license does claude-code-riper-5 use?

claude-code-riper-5 is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to claude-code-riper-5?

The top alternatives to claude-code-riper-5 on Agent Skills Hub include plinth, ClaudeForge, claude-code-crash-course. 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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