agent-observability is agent-read markdown (skill) from sickn33/agentic-awesome-skills: Instrument AI agents with tracing, token metrics, latency, and cost visibility..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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.
---
## Core Metrics
Define these metrics at the application layer. All examples use the Prometheus client library naming conventions.
### Latency
```python
from prometheus_client import Histogram
# Total end-to-end latency for a full agent turn (user prompt -> final response)
AGENT_LATENCY = Histogram(
"agent_request_duration_seconds",
"End-to-end latency of an agent request",
labelnames=["agent_name", "model", "status"],
buckets=(0.25, 0.5, 1, 2, 5, 10, 30, 60, 120),
)
# Latency of a single LLM API call (one completion request)
LLM_CALL_LATENCY = Histogram(
"llm_call_duration_seconds",
"Latency of an individual LLM API call",
labelnames=["model", "provider", "stream"],
buckets=(0.1, 0.25, 0.5, 1, 2, 5, 10, 30),
)
# Latency of tool/function calls executed by the agent
TOOL_CALL_LATENCY = Histogram(
…
Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
GET https://markdownregistry.com/api/v1/artifacts/art_mbdrnpx7efzywii5
GET https://markdownregistry.com/api/v1/resolve?ref=sickn33/agentic-awesome-skills/agent-observability
GET https://markdownregistry.com/api/v1/blob/08958fb3a7be38f9229f0d24d05c7fb50c26d7cd9baf205f39a3668f4e4261c4
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
sickn33/agentic-awesome-skills · plugins/agentic-awesome-skills-claude/skills/00-andruia-consultant/SKILL.md · Arquitecto de Soluciones Principal y Consultor Tecnológico de Andru.ia. Diagnostica y traza la hoja de ruta óptima para…
sickn33/agentic-awesome-skills · plugins/agentic-awesome-skills-claude/skills/10-andruia-skill-smith/SKILL.md · Ingeniero de Sistemas de Andru.ia. Diseña, redacta y despliega nuevas habilidades (skills) dentro del repositorio…
sickn33/agentic-awesome-skills · plugins/agentic-awesome-skills-claude/skills/20-andruia-niche-intelligence/SKILL.md · Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar…
sickn33/agentic-awesome-skills · plugins/agentic-awesome-skills-claude/skills/2slides-ppt-generator/SKILL.md · AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style…
sickn33/agentic-awesome-skills · plugins/agentic-awesome-skills-claude/skills/3d-web-experience/SKILL.md · Expert in building 3D experiences for the web - Three.js, React
sickn33/agentic-awesome-skills · plugins/agentic-awesome-skills-claude/skills/ab-test-setup/SKILL.md · Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify…
sickn33/agentic-awesome-skills · plugins/agentic-awesome-skills-claude/skills/ab-testing/SKILL.md · When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program.
sickn33/agentic-awesome-skills · plugins/agentic-awesome-skills-claude/skills/acceptance-orchestrator/SKILL.md · Use when a coding task should be driven end-to-end from issue intake through implementation, review, deployment, and…
akillness/jeo-skills · .agent-skills/agent-observability/SKILL.md · Instrument LLM agents with traces, metrics, and replay. Use when an agent in production is silently failing…
vodailocz/kilo-kit-mcp · skills/operations/agent-observability/SKILL.md · Use when monitoring, tracing, or debugging agentic workflows in production. Keywords: observability, tracing…
jnpiyush/agentx · .github/skills/ai-systems/agent-observability/SKILL.md · Instrument LLM agents with tracing, metrics, and evaluation telemetry. Use when adding OpenTelemetry GenAI semantic…
