honeycomb-metrics-queries SKILL.md skillA
honeycomb-metrics-queries from aws/tools-for-devops-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add aws/tools-for-devops-agent/honeycomb-metrics-queries@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- aws/tools-for-devops-agent
- Path
skills/honeycomb-metrics-queries/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Oct 26, 2026
- Size
- 13,419 bytes
- Repository stars
- 137
- License
- Apache-2.0
Load before querying a Honeycomb OpenTelemetry metrics dataset (dataset_type=metrics): gauges, counters, histograms and sums, including infrastructure metrics such as CPU, memory, disk I/O and network. Metrics follow different rules from trace datasets: bare COUNT, RATE_SUM, RATE_AVG, RATE_MAX and CONCURRENCY are rejected, temporal aggregation is automatic, and each metric has its own attributes. Not for event datasets that only have metrics in their name.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Querying Metrics in Honeycomb Requires the Honeycomb connector in the Agent Space, with its read tools enabled. Metrics datasets in Honeycomb behave differently from tracing/event datasets. Operations that work on traces may fail or produce misleading results on metrics. This skill covers those differences so you construct correct, useful metrics queries. ## Finding the Metrics Dataset Metrics datasets are **not** identified by having "metrics" in their name. Many event datasets contain "metrics" in their slug (e.g., `kafka-metrics`, `refinery-metrics`, `kubernetes-node-metrics`). These are ordinary event datasets, not metrics datasets. **How to identify the real metrics dataset:** 1. Call `get_environment` and look for rows where `dataset_type` = **`metrics`**. The slug is typically `metrics` but may differ per environment. 2. Alternatively, call `get_dataset_columns` on a candidate dataset — metrics datasets return a **`MetricInfo`** column showing type metadata like `gauge`, `sum(cumulative,monotonic)`, or `histogram(delta)`. Event datasets do not have this. **Do not guess the dataset.** Always verify via `get_environment` or `get_dataset_columns` …
Read the whole file at its exact version.
How to install
mdr add aws/tools-for-devops-agent/honeycomb-metrics-queries@sha256:22ff4e8cab62d2bfThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ubym5drsukyydcra)
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Versions
The registry has recorded 1 version of this file, committed on Oct 26, 2026.
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Source
aws/tools-for-devops-agent · 137 stars · license Apache-2.0 · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ubym5drsukyydcra GET https://markdownregistry.com/api/v1/resolve?ref=aws/tools-for-devops-agent/honeycomb-metrics-queries GET https://markdownregistry.com/api/v1/blob/22ff4e8cab62d2bf10ec8d4dba1157f89315459753027259b02010339f8d8d29
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Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.