Menu

Individual skill

agent-observability

Instrument AI agents with tracing, token metrics, latency, and cost visibility. Use for reliability and debugging.

devops/ai/agent-observability/SKILL.md

Read pinned source

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.

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

# Agent Observability

Monitor AI agent behavior with logs, traces, metrics, and cost telemetry. This skill covers the full observability stack for LLM-powered applications: from raw Prometheus counters to Grafana dashboards, OpenTelemetry tracing, structured logging, cost tracking, SLO definition, and PII redaction.

---

## When to Use

Apply this skill whenever you operate:

- **Autonomous AI agents** that make multi-step tool calls (e.g., coding agents, support agents, data-pipeline agents).
- **LLM-backed APIs** serving chat completions, summarisation, or classification behind a REST or gRPC gateway.
- **RAG pipelines** where a retriever fetches context from a vector store before prompting a model.
- **Multi-agent orchestrations** (crew-style or graph-based) where several agents collaborate on a single task.