TopRank Skills

Home / Claw Skills / Git / GitHub / Model Failover Guard
Official OpenClaw rules 36%

Model Failover Guard

OpenClaw Model Failover Guard

Stars

0

Installs

0

Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 Model Failover Guard 技能。 若已安装,则直接安装 Model Failover Guard 技能。

Overview

Skill Key
bovmanth/model-failover-guard
Author
bovmanth
Source Repo
openclaw/skills
Version
-
Source Path
skills/bovmanth/model-failover-guard
Latest Commit SHA
8c8d12f4e8eec81b0d6bf32e0c27471c53e2b537

Extracted Content

SKILL.md excerpt

# OpenClaw Model Failover Guard

Automatic model failover + failback guard for OpenClaw.

## Description

When your primary model becomes unstable, this guard can switch to an available fallback model automatically, then switch back to the primary after stability is restored.

## Features

- Monitor model health on an interval
- If primary fails N times consecutively → failover
- Fallback is selected from **all configured models**
- Supports preferred fallback provider
- After fallback is stable for N checks → try failback
- If failback test fails → revert to fallback immediately

## Install

```bash
npx skills add BovmantH/openclaw-model-failover-guard --skill model-failover-guard
```

## Usage

```bash
# Run once
python3 skills/model-failover-guard/scripts/failover.py once

# Run as daemon
python3 skills/model-failover-guard/scripts/failover.py loop
```

## Configuration

Copy `skills/model-failover-guard/config.example.json` to `config.json` and adjust settings.

| Key | Description |
|-----|-------------|
| `primaryModel` | Primary model to monitor |
| `failThreshold` | Consecutive failures before failover |
| `recoverThreshold` | Stable checks before failback |
| `checkIntervalSec` | Health check interval (seconds) |

## Author

- Owner: BovmantH
- Version: 1.0.0

## License

MIT

README excerpt

# OpenClaw Model Failover Guard

[English](#english) | [中文](#中文)

<a id="english"></a>

```mermaid
flowchart LR
  A[Primary Model Healthy] -->|Check Interval| B{Primary Failures >= Threshold?}
  B -->|No| A
  B -->|Yes| C[Pick Fallback from Configured Models]
  C --> D[Switch + Restart Gateway]
  D --> E{Fallback Stable >= Recover Threshold?}
  E -->|No| D
  E -->|Yes| F[Try Failback to Primary]
  F -->|Success| A
  F -->|Fail| D
```

---

## English

Automatic model failover + failback guard for OpenClaw.

When your primary model becomes unstable, this guard can switch to an available fallback model automatically, then switch back to the primary after stability is restored.

### Overview

- Monitor model health on an interval
- If primary fails N times consecutively → failover
- Fallback is selected from **all configured models**
- Supports preferred fallback provider
- After fallback is stable for N checks → try failback
- If failback test fails → revert to fallback immediately

### Install

```bash
npx skills add https://github.com/BovmantH/openclaw-model-failover-guard.git --skill model-failover-guard
```

### Files

| Path | Purpose |
|---|---|
| `skills/model-failover-guard/SKILL.md` | Skill definition |
| `skills/model-failover-guard/config.example.json` | Config template |
| `skills/model-failover-guard/scripts/failover.py` | Runtime guard script |

### Config

Copy `config.example.json` to `config.json`.

| Key | Description |
|---|---|
| `primaryModel` | Optional. Empty = use OpenClaw current default model |
| `preferredFallbackProvider` | Optional preferred fallback provider |
| `excludedProviders` | Providers excluded from fallback candidates |
| `failThreshold` | Consecutive failures before failover |
| `recoverThreshold` | Stable checks before failback |
| `checkIntervalSec` | Health check interval (seconds) |
| `testTimeoutSec` | Single test timeout (seconds) |

### Run

```bash
python3 skills/model-failover-guard/scripts/failover.py once
python3...

Related Claw Skills

heyixuan2

bambu-studio-ai

★ 41

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pipeline: search → generate → analyze → colorize → preview → open BS → user slice → print → monitor. Supports all 9 Bambu Lab printers (A1 Mini, A1, P1S, P2S, X1C, X1E, H2C, H2S, H2D).

capt-marbles

geo-optimization

★ 1

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discoverability and citation.

carlulsoe

parakeet-stt

★ 0

Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.

carlzhao007

feishu-process-feedback

★ 0

飞书消息自动处理与进度反馈技能。安装后后台运行,监听飞书任务消息并自动创建独立进程处理。 在处理前后发送实时进度反馈(任务确认、进度百分比、完成通知)。 支持任务类型识别、智能解析、错误重试、并发控制、状态持久化。 使用场景:飞书自动化工作流、任务进度追踪、批量任务处理、需要实时反馈的场景。

cartoonitunes

bottyfans

★ 0

BottyFans agent skill for autonomous creator monetization. Lets AI agents register, build a profile, publish posts (public, subscriber-only, or pay-to-unlock), upload media, accept USDC subscriptions and tips on Base, send and receive DMs, track earnings, and appear on the creator leaderboard. Use this skill when an agent needs to monetize content, interact with fans, manage a creator profile, handle payments in USDC, or operate as an autonomous creator on the BottyFans platform.

camopel

arxivkb

★ 0

Local arXiv paper manager with semantic search. Crawls arXiv categories, downloads PDFs, chunks content, and indexes with FAISS + Ollama embeddings. No cloud API keys required — everything runs locally.