Individual skill
rag-observability-evals
Monitor and evaluate RAG systems with retrieval quality metrics, groundedness checks, hallucination detection, and continuous regression testing.
devops/ai/rag-observability-evals/SKILL.md
Source commit 0365f57a079b1332f95cf26e31dd2d5332a8399f
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 3, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 1,196
- Repository last updated
- May 22, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- cheatsheets Repository topic
- devops Repository topic
- infrastructure-as-code Repository topic
- kubernetes Repository topic
- security Repository topic
- sre Repository topic
- terraform Repository topic
- testing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# RAG Observability and Evaluations
Run retrieval-augmented generation like a measurable production system, not a black box.
## When to Use This Skill
- Deploying a RAG system to production and need quality monitoring
- Setting up automated evaluation pipelines for retrieval and generation
- Debugging hallucination or relevance regressions
- Building dashboards for RAG-specific golden signals
- Establishing quality gates for RAG pipeline changes
## Prerequisites
