# Skippy Metrics

> Skippy Metrics is an Agent Skill for devops & security published in the Mesh-LLM/mesh-llm repository on GitHub: a SKILL.md instruction file an AI agent can load to do this task.

Use this skill when working on skippy telemetry attributes, OTLP emission, benchmark metric names, runtime lifecycle telemetry, or separating telemetry/reporting ownership from stage runtime serving.

- Skill name: `skippy-metrics`
- Category: [DevOps & Security](https://www.openparable.com/skill/devops-security/1)
- Source: https://github.com/Mesh-LLM/mesh-llm/blob/HEAD/.agents/skills/skippy-metrics/SKILL.md
- Repository: Mesh-LLM/mesh-llm (2,502 GitHub stars when collected)

## SKILL.md

# skippy-metrics

Use this skill for telemetry attributes, lifecycle instrumentation, and
benchmark/report integration.

## Ownership

`crates/skippy-metrics` owns shared attribute names. Stage servers may emit
OTLP/telemetry, but request-path serving must not block on telemetry export.
`crates/metrics-server` owns benchmark/debug telemetry ingest, SQLite storage,
run lifecycle, and canonical report export.

Mesh API runtime status is not a telemetry dump. Keep public runtime status
backend-neutral and stable; expose backend details only when intentionally part
of the status shape.

## Validation

```bash
cargo test -p skippy-server --lib
cargo test -p mesh-llm --lib
```

Keep canonical benchmark report export in `metrics-server` rather than inside
stage serving.

---

Source: https://www.openparable.com/skill/devops-security/skippy-metrics (OpenParable). Cite the canonical URL above.