awesome-llm-observability
SkillGitHubActivePython
50+ curated LLM observability tools PLUS 26 Agent Skills (several with runnable, unit-tested scripts) to build, evaluate, debug, secure & monitor reliable LLM apps. Tracing, evals, guardrails, LLMOps.
Description provenance: Original source
Measured: Oct 21, 2026 · 69 observations
Domains & Uses
- Domains
- Agents, skills and MCP
- Uses
- Agent skills, Observability
Installation
git clone https://github.com/ContextJet-ai/awesome-llm-observability ~/.claude/skills/awesome-llm-observabilityCheck at the source
Compatibility and prerequisites must be checked in the official documentation.
https://github.com/ContextJet-ai/awesome-llm-observabilityClassifications
- Nature
- Resource
Measurement history
Comparable readings are grouped by signal and unit.
Stars
42stars · Oct 21, 2026
+1 (+2.4 %)since Oct 15, 2026
Exact values · 6 readings
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