Integration playbook for the @darkhunt-security/telemetry SDK — wires LLM tracing, generations, and spans into a Node/TypeScript service. Auto-invokes when you ask Claude to add Darkhunt telemetry / observability to a service.
Observability suite — metrics: Prometheus, Grafana Mimir, and Grafana reference for agents querying metrics, writing PromQL, building and fixing dashboards, and reasoning about SLOs, KPIs, and burn-rate alerting, plus the community, air-gapped mimir-distributed Helm upgrade methodology (chart↔app co-pinned ladder, the classic-vs-ingest-storage/Kafka decision, the nginx→gateway rename that silently moves the proxy's DNS name, rollout-operator sequencing and abort levers, per-hop verification, and air-gap image/CRD/egress staging); and logs: the kube-logging logging-operator (16-CRD Fluent Bit→fluentd/syslog-ng pipeline, JSON/CRI parsing, routing, buffers, upgrade floor 6.7.0) plus rancher-logging-exit — the air-gap-first migration off Rancher's frozen bundled rancher-logging chart (CVE-2026-54680, release-secret cutover, CR compatibility); and hardware metrics: snmp-exporter — Prometheus snmp_exporter v0.30.x best practices (generator.yml module curation, the never-walk-a-whole-enterprise-subtree rule, SNMPv2c/v3 auth, timeout math, Kubernetes Probe/ScrapeConfig deployment, local docker testing, worked device references for Dell iDRAC 9/10, Cisco CBS/Catalyst, NVIDIA/Mellanox Onyx, Ubiquiti UniFi).
Agent session telemetry for Claude Code — captures structured events from 14 hook lifecycle events with msgpack compression, optional encryption, and a real-time terminal dashboard.
Integration playbook for the darkhunt-telemetry Python SDK — wires LLM tracing, generations, and spans into a Python service. Auto-invokes when you ask Claude to add Darkhunt telemetry / observability to a Python service.
Tsuga observability plugin: querying Tsuga data (TQL, aggregation bodies, PromQL, docs lookup) and running the `tsuga` CLI; investigation of incidents, service health, errors, latency and traces; configuration audits; building dashboards, monitors, SLOs, routing and other assets; getting telemetry in with OpenTelemetry SDKs, the Collector and OTTL; designing what to measure and how to verify it; and meta-skills for building and validating skill bundles.
Observe and author Claude Code Workflow runs. Bundles an MCP server (list/inspect runs, read declared designs, draft workflows into the human's builder) and a /workflow-studio:dashboard command to open the visual dashboard.
Langfuse observability - query traces, debug exceptions, analyze sessions, manage prompts and datasets via MCP tools. First LLM observability skill for Claude Code and Codex.
Lower your Splunk, Datadog, Elastic, CloudWatch or ClickHouse log bill and keep every line. The 10x engine runs beside the log forwarder you already have and compacts, tiers down or offloads logs pattern by pattern; this plugin gives Claude the controls: what each pattern costs and where it goes. Log data never reaches log10x.
Skills for managing Grepr jobs and pipelines, building grok parsers, querying log data, and debugging log reduction. Requires the Grepr CLI (npm install -g @grepr/cli).
Instrument Python LLM applications with the neatlogs SDK — tracing, semantic spans, supported wrappers and framework integrations for OpenAI, Anthropic, LangChain, CrewAI, and more.
Instrument TypeScript/Node.js LLM applications with the neatlogs SDK — semantic spans, supported wrappers and framework integrations for OpenAI, Anthropic, LangChain, Mastra, Vercel AI SDK, and more.