ObservabilityAndInstrumentation:让 Agent 按流程完成可观测性与埋点

ObservabilityAndInstrumentation 是 SkillHub 社区 Skill(@user_3c6cb52e/observability-and-instrumentation-sh-k1xmdy,v1.0.0,it-ops-security,无需 API Key)。包内 SKILL.md 指导 Agent 在上线前定义值班问题,按 RED/USE 落地结构化日志、指标、OpenTelemetry 链路与症状型告警,并用验收清单验证遥测。可通过 skillhub CLI 安装到 Cursor、Claude Code、Codex 等 skills 目录。本文基于官方页面与注册表下载包核对功能与安装命令。

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dsh-otel: Exporting DeepSeek Harness Sessions as OpenTelemetry Spans

dsh-otel is a DeepSeek Harness plugin that translates session logs into OpenTelemetry spans, enabling DSH data to be integrated into existing tracing systems. The plugin is disabled by default and requires manually configuring an exporter; it supports OTLP/HTTP and stdout export. It focuses on one-way data conversion, does not depend on an SDK runtime, and includes only names, IDs, timestamps, token counts, and metadata, making it suitable for developers who need to connect DSH debug data to their existing observability stack.

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dsh-o11y-plugin: Unified plugin-level observability for deepseek-harness

dsh-o11y-plugin is an observability plugin designed specifically for deepseek-harness (dsh), aiming to unify telemetry management at the plugin level. By registering global OpenTelemetry providers, it enables plugins based on the standard @opentelemetry/api to conveniently export traces, metrics, and logs, while bridging DSH session telemetry into OTel logs. The plugin supports both headless and web profiles, exporting data via OTLP/HTTP endpoints; if no endpoint is configured or it is unreachable, data will be silently discarded. Stateless by design, the plugin requires no data cleanup upon removal, does not write to files or store credentials, and ensures telemetry data resides in memory only before export.

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dsh-observability: Export OpenTelemetry traces for DeepSeek Harness sessions

dsh-observability is an MIT-licensed community plugin maintained by CodePrometheus, serving as the OpenTelemetry traces backend for DeepSeek Harness. By implementing the public telemetry Service Definition, it collapses turns, model steps, and tool calls within an Agent session into an OTLP span tree and sends them to a collector that accepts OTLP/HTTP. The plugin only observes the session flow and does not interfere with model requests. Core features include support for three modes: FULL, FEEDBACK_ONLY, and DISABLED (disabled by default), and adds GenAI semantics.

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