# NeekChaw/RIPER-5

神级Cursor Rule

Repository: https://github.com/NeekChaw/RIPER-5
Canonical: https://ross.abutalabs.com/products/riper-5
License Family: other
Last push: 2025-10-05T08:25:52+00:00

## Health v2 (maintenance only)
Score: 39/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 45, release rhythm 35, longevity 32
- inputs: {"age_days": 460, "days_push": 332, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2623, forks 359 (observed 2026-08-28T04:07:05.127108+00:00)

## What it is
A curated collection of AI prompt engineering resources, centered on RIPER-5, a structured behavioral protocol that constrains AI coding assistants (like Cursor) into safe, phased workflows. It also includes optimized prompts and workflows for Claude Code covering code review, refactoring, and requirements planning.

## Use cases
- make Cursor AI follow a disciplined coding workflow
- stop AI coding assistants from making uncontrolled changes
- find good prompts for Claude Code
- structure AI-assisted development into phases
- review and refactor code with an AI persona
- turn vague ideas into requirements and implementation plans with AI

## When to choose
- you use Cursor, Claude Code, or similar IDE-integrated AI assistants and want more reliable, controlled behavior
- you want ready-made prompt templates for coding workflows

## When to avoid
- you need runnable software or a library rather than prompt text
- your AI tooling does not support custom rules or system prompts

## Facets
- artifact type: learning-resource
- maturity: active
- function: prompt-engineering, developer-tools, workflow-automation
- domain: large-language-models, developer-tools, tutorials
- platform: cross-platform
- tags: cursor-rules, claude-code, ai-coding-workflow, prompts, behavior-protocol, ai-agents

## Member repositories
- NeekChaw/RIPER-5 (main) score 39

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:05.127108+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:19:53.911483+00:00, confidence not recorded.
  - readme: https://github.com/NeekChaw/RIPER-5 (fetched 2026-08-28T04:07:05.127108+00:00, sha d1fff9793ae5)
- Data as of 2026-08-30T08:39:29.467469+00:00.