Bryan-cmf/dsh-infra-observability ↗★ 0
@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.
安装
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:Bryan-cmf/dsh-infra-observability说明文档
阅读完整 README ↗🔭 Infra Observability — DSH-Plugin
結構化觀測層:真實的工具/技能使用記錄(
tools/result)、技能目錄審計、看門狗。零模型自報——平台記什麼,報告就寫什麼。
A DeepSeek Harness host plugin that replaces model self-reporting with structural recording:
tools/resultlistener — every real tool execution (name + outcome) is recorded by the platform into a ring buffer and per-day aggregates.agent/error/agent/status— error totals and live-agent tracking.- Watchdog — timer-driven alert when agent errors spike (≥ N in 5 min).
- Three tools for the model and humans:
| Tool | What it reports |
|---|---|
usage_report | Per-day tool/skill aggregates (calls / ok / err) + recent executions |
audit_skills | Catalog totals, provider spread, warnings (missing description, non-kebab names), today's skill usage |
infra_health | Uptime, records kept, error counts, running agents, catalog size, watchdog state |
Dashboard (browser)
The client half registers an 「觀測」view tab (order 20, right of
chat / trajectory) rendering a live per-session dashboard from the infraView
session projection: turn counts, failure count, tool/skill TOP lists with
success-rate bars, and the recent execution trail. Data updates as events
commit — no refresh needed.