clauderipple: Use GPT, DeepSeek, GLM, Gemini, Kimi and 400+ models in Claude Desktop's own model picker and in Claude Code

by PBJ-2 · Claude Skill · ★ 68

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

How to install clauderipple

npm install -g clauderipple
npm install -g clauderipple@latest

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 60/100

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. Full audit →

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.

anthropic-proxychatgpt-subscriptionclaude-codeclaude-code-modclaude-code-pluginclaude-code-proxyclaude-code-routerclaude-desktopclaude-maxcodex-cli

Quick Facts

Stars68
Forks16
LanguageTypeScript
CategoryClaude Skill
LicenseGPL-3.0
Quality Score60/100
Open Issues10
Last Updated2026-10-23
Created2026-09-13
Platformsclaude-code, cli, codex, gemini, node
Est. Tokens~19k

About clauderipple

ClaudeRipple English · 한국어 Chat stays Claude. Only Code becomes GPT. Claude Desktop's own setting for other models switches the whole app — chat, phone Remote Control and connectors go with it.ClaudeRipple turns nothing off: you stay signed in to your Claude subscription while GPT, DeepSeek, Kimi, Grokor 400+ other models answer in the Code tab. Claude inside the Codex app and Codex CLI too.

Compatible Skills

These tools work well together with clauderipple for enhanced workflows:

  • chat2claude — semantic(0.22)+complementary+shared_fw(anthropic,openai)+same_lang+similar_pop+shared_platform (74%)

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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