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 18534516725 · Codex Skill · ★ 164
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is llm-api-setup-guides safe to install? View the security audit →
[](htt
| Stars | 164 |
| Forks | 15 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 57.9427472489075/100 |
| Last Updated | 2026-09-21 |
| Created | 2026-07-14 |
| Platforms | browser, claude-code, cli, codex, gemini, python |
| Est. Tokens | ~16k |
Looking for a llm-api-setup-guides alternative? If you're comparing llm-api-setup-guides with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Ultimate LLM API Integration Cookbook 2026 for Cursor & AI Agents
Elevate vibe coding to vibe engineering: Get consistent Github Copilot custom instructions, Cursor, Roo Code,
Local-first Rust TUI/CLI for auditing AI coding-agent sessions: cost, tokens, latency, failures, and health｜本地
The hivemind for AI coding agents — persistent team context recorded once and recalled across agents, machines
Use your Claude and ChatGPT subscriptions in Cursor, Cline, Aider, Claude Code and the Agent SDK: one local en
Multi-agent orchestration platform for Gemini CLI, Claude Code, Codex, and Qwen Code — 39 specialists, paralle
Explore other popular codex skill tools:
llm-api-setup-guides is 88篇中文 AI API中转站与工具配置教程：Codex API、Claude Code API、OpenAI-compatible API、Base URL、Cursor、Cherry Studio、计费验证与错误排查。. It is categorized as a Codex Skill with 164 GitHub stars.
llm-api-setup-guides is primarily written in Python. It covers topics such as ai-api, api-proxy, api-relay.
You can find installation instructions and usage details in the llm-api-setup-guides GitHub repository at github.com/18534516725/llm-api-setup-guides. The project has 164 stars and 15 forks, indicating an active community.
llm-api-setup-guides is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to llm-api-setup-guides on Agent Skills Hub include api-model-playground-cookbook, rulebook-ai, agenttrace. 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: