@bryan-cmf/dsh-infra-observability

DSH-Plugin: structural observability layer — real tool/skill usage recording (tools/result), skill-catalog audit, and a watchdog with health/error events. No model self-reporting.

AI 분석

核心用途是提供非模型自汇报的真实工具执行与技能调用审计。适合需要监控 Agent 运行稳定性、排查工具调用错误及进行系统健康度分析的开发者。支持主机组合或 Agent 预设配置。

skills에이전트

패키지: @bryan-cmf/dsh-infra-observability
버전: 0.1.0-alpha.0
라이선스: MIT
최근 업데이트: 2026. 8. 15.

설치

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-infra-observability

문서

전체 README 읽기 ↗

Configuration

Key	Default	Meaning
`maxRecords`	`5000`	Ring-buffer cap for recent execution records
`healthIntervalMs`	`60000`	Watchdog check interval
`errorAlertThreshold`	`5`	Alert at ≥ this many agent errors per 5-minute window