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LangChain Observability Setup
langchain-observability
jeremylongshore/claude-code-plugins-plus-skills
493
Guide for instrumenting LangChain applications with LangSmith tracing, Prometheus metrics, OpenTelemetry spans, structured logging, Grafana dashboards, and alerting to monitor health and performance in staging or production.
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Mistral Observability Stack
mistral-observability
jeremylongshore/claude-code-plugins-plus-skills
178
Instrument Mistral AI clients, expose Prometheus metrics, configure alerts, and build Grafana dashboards to keep API usage, latency, cost, and errors in check.
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WMI Persistence Hunting
hunting-for-persistence-via-wmi-subscriptions
mukul975/Anthropic-Cybersecurity-Skills
460
Monitor and analyze Windows Management Instrumentation event subscriptions (filters, consumers, bindings) to detect and investigate fileless persistence mechanisms and attacker activity triggered via WMI, especially when other persistence traces are absent.
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Eval-Driven Python QA
eval-driven-dev
github/awesome-copilot
445
Builds an eval-driven QA pipeline for Python LLM apps, instrumenting execution, inserting controlled inputs, running pixie test to score responses via evaluators, and iterating on failures to ensure quality.
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Phoenix LLM Tracing
phoenix-tracing
github/awesome-copilot
72
Guides hooking Phoenix AI services with OpenInference tracing, covering setup, spans, instrumentation, and production deployment for LLM workflows using Python or TypeScript.
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