bisdom-cell

Openclaw Model Bridge — AI skill for Claude Code

AI community

Connect any LLM to OpenClaw — production-tested middleware for Qwen3-235B and beyond.

How to install Openclaw Model Bridge

This entry records only its repository, not the path inside it, so there is no exact command to give. Open bisdom-cell/openclaw-model-bridge and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Openclaw Model Bridge does

Connect any LLM to OpenClaw — production-tested middleware for Qwen3-235B and beyond.

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README

openclaw-model-bridge

**Agent Runtime Control Plane** — Connect any LLM to [OpenClaw](https://github.com/openclaw/openclaw) with one command. Zero dependencies, **12 providers** (含豆包 + DeepSeek-V4-Pro 量化/满血双端点 + GLM-5.2 coding), multimodal support, reasoning capability. 将任意大模型（Qwen / OpenAI / Gemini / Claude / Kimi / MiniMax / GLM / Doubao Seed 2.0 / **DeepSeek-V4-Pro**）一键接入 OpenClaw — 零第三方依赖、支持多模态、10 分钟跑通。

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) [![Python 3.8+](https://img.shields.io/badge/python-3.8+-blue.svg)](https://www.python.org/downloads/) [![Tests](https://img.shields.io/badge/tests-6239%20passed-brightgreen.svg)]() [![Providers](https://img.shields.io/badge/providers-12%20supported-orange.svg)]() [![Governance](https://img.shields.io/badge/invariants-91%2F91%20%2B%2023%20MR-blueviolet.svg)]() [![Security](https://img.shields.io/badge/security-95%2F100-green.svg)]() [![Jobs](https://img.shields.io/badge/cron%20jobs-40%20active-blue.svg)]() [![Fail-Fast](https://img.shields.io/badge/LLM%20cron%20fail--fast-17%2F21%20aligned-brightgreen.svg)]() [![Notifications](https://img.shields.io/badge/notifications-WhatsApp%20%2B%20Discord-informational.svg)]()

**Current version:** `v37.9.330` / `0.37.9.159` (2026-08-25) — see [`CLAUDE.md`](CLAUDE.md) for full changelog. **Latest milestone:** 📄 **ArXiv paper published** — [**arXiv:2606.14589**](https://arxiv.org/abs/2606.14589) (2026-06-15, cs.SE): the *fail-plausible* concept + a 5-class taxonomy of silent failures from 22 production incident postmortems (IEEE Software in review; ISSRE rejected 2026-08-14, conference track closed — journal-first strategy V37.9.307). **Constitutional priority now: LLM-Observer (机械化人眼)** — an automated user-perspective observer that catches *fail-plausible* silent failures **before the user does** (the paper's headline open problem: ~70% of silent failures were caught by looking at the product, while tests/