langchain-otel-observability
langchain-otel-observability is an LLM evaluation & observability skill for AI agents, published by jeremylongshore in the claude-code-plugins-plus-skills repository on GitHub. Skillspace rates langchain-otel-observability C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Wire LangChain 1.0 / LangGraph 1.0 traces into an OpenTelemetry-native backend (Jaeger, Honeycomb, Grafana Tempo, Datadog) with LLM-specific SLOs, safe prompt-content policy, and subgraph-aware span propagation. Use when LangSmith is not the right fit (existing OTEL stack, compliance, multi-cloud) or alongside LangSmith for deep-system traces. Trigger with "langchain OTEL", "langchain opentelemetry", "langchain jaeger", "langchain honeycomb", "langchain SLO", "LLM span", "langchain tempo", "langchain datadog tracing".
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 2,518
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 83 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- Low-risk patterns
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 2 collections
- Scope
- Vendor-specific: built around one product. Wiring LangChain/LangGraph traces into OpenTelemetry backends
What the scanner flagged
- over-broad allowed-tools ('*')
- mentions secrets in text
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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