Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Monitors, classifies, intercepts errors in real-time, enforces auto-retry and circuit breaking, and ensures graceful recovery and prevention.
Monitors, classifies, intercepts errors in real-time, enforces auto-retry and circuit breaking, and ensures graceful recovery and prevention.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
实时监控错误、自动拦截、预防问题
致命错误 (立即处理) 内存溢出 磁盘满 认证失效 系统崩溃 严重错误 (快速处理) API 超时 连接失败 权限不足 警告 (记录并监控) 速率限制 临时失败 资源紧张 信息 (仅记录) 调试日志 性能指标
def detect_error_pattern(errors): # 检测重复错误 if len(set(errors[-5:])) == 1: return "repeating_error" # 检测错误累积 if error_rate() > threshold: return "error_accumulation" # 检测级联错误 if has_cascade(errors): return "cascade_failure" return "isolated_error"
IF 同一错误出现 3 次 THEN 记录并警告 暂停相关操作 进入熔断模式 END IF 错误率 > 10% THEN 降低操作频率 增加重试延迟 通知管理员 END IF 致命错误 THEN 保存完整上下文 执行优雅关闭 触发重启 END
# 执行前验证 async def pre_execution_check(command): checks = { "auth": verify_token(), "resources": check_resources(), "rate_limit": check_rate_limit(), "dependencies": check_services() } if not all(checks.values()): raise PreExecutionError("验证失败") return True
async def error_recovery(error): strategies = { "auth_error": refresh_and_retry, "timeout_error": retry_with_backoff, "rate_limit_error": wait_and_retry, "resource_error": free_resources_and_retry } strategy = strategies.get(error.type, default_retry) return await strategy(error) 🦞 辉仔 - 错误终结者
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.