honeycomb-production-investigation SKILL.md skillA

honeycomb-production-investigation from aws/tools-for-devops-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add aws/tools-for-devops-agent/honeycomb-production-investigation@v1.0.0

Pins 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-production-investigation/SKILL.md
Versions recorded
1
Latest version
v1.0.0, committed Oct 26, 2026
Size
8,344 bytes
Repository stars
137
License
Apache-2.0

Load when an investigation needs Honeycomb telemetry to find a root cause: a latency spike, an error surge, a deployment regression, a failing dependency or an SLO burning budget. Gives the order of Honeycomb MCP tool calls (orient, broad query, BubbleUp, trace drill-down, verification) and how to carry each result into the next step.

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

# Honeycomb Production Investigation

Structured workflows for debugging production issues. The MCP tools document their
own parameters — this skill focuses on the *sequence* of tool calls and how to
*interpret* results to reach a root cause.

## The Core Analysis Loop

This workflow implements the core analysis loop: **Define → Visualize → Investigate →
Evaluate**. If BubbleUp returns nothing useful, the issue is often an instrumentation gap:
report which attributes are missing so the team can add them.

Requires the Honeycomb connector in the Agent Space, with its read tools enabled. Creating a board, SLO or trigger needs write access: **Read-write** at sign-in, or a key with **Write** under **Model Context Protocol**. If a create tool is missing or returns a permission error, stop and tell the operator that it needs write access. Do not retry.

## Investigation Workflow

### Step 1: Orient
1. `get_workspace_context` → environments and datasets
2. `get_slos` → any SLOs in violation? (frames severity)
3. `get_triggers` → any alerts firing? (narrows scope)
4. `find_queries` → has anyone investigated this before?

### Step 2: Characterize the Problem
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add aws/tools-for-devops-agent/honeycomb-production-investigation@sha256:75cfdf69789a410d

The 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_zdyueyyc2d2bpo3e.svg)](https://markdownregistry.com/a/art_zdyueyyc2d2bpo3e)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Oct 26, 2026.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-26 62c026f 8,344 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8344 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

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_zdyueyyc2d2bpo3e
GET https://markdownregistry.com/api/v1/resolve?ref=aws/tools-for-devops-agent/honeycomb-production-investigation
GET https://markdownregistry.com/api/v1/blob/75cfdf69789a410d18a1c3a754586daea3d38c12136d124cd78467e20edba919

Your AI assistant 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.

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.

More from aws/tools-for-devops-agent

CLAUDE.md@.claude CLAUDE.md file
aws/tools-for-devops-agent · .claude/CLAUDE.md
git:20261027.03aea14 · audit A · 137 stars
llms.txt llms.txt file
aws/tools-for-devops-agent · llms.txt
git:20261029.e65384c · audit A · 137 stars
agentcore-observability-setup SKILL.md skill
aws/tools-for-devops-agent · skills/agentcore-observability-setup/SKILL.md · Validates and bootstraps Amazon Bedrock AgentCore observability so customers can trace
v1.0.2 · audit A · 137 stars
agentcore-ops-review SKILL.md skill
aws/tools-for-devops-agent · skills/agentcore-ops-review/SKILL.md · Comprehensive operational review procedures for Amazon Bedrock
v1.0.3 · audit A · 137 stars
aiml-access-diagnostics SKILL.md skill
aws/tools-for-devops-agent · skills/aiml-access-diagnostics/SKILL.md · Use this skill when diagnosing IAM and access failures for Bedrock and SageMaker. It traces the authorization chain —…
v1.2.4 · audit A · 137 stars
aiml-gpu-training-cluster-investigation SKILL.md skill
aws/tools-for-devops-agent · skills/aiml-gpu-training-cluster-investigation/SKILL.md · Use this skill for GPU training or inference clusters on SageMaker HyperPod (Slurm or
v1.0.6 · audit A · 137 stars
analytics-opensearch-expertise SKILL.md skill
aws/tools-for-devops-agent · skills/analytics-opensearch-expertise/SKILL.md · Amazon OpenSearch Service domain health assessment. Performs read-only, API-driven checks against a customer's…
v2.6.2 · audit A · 137 stars
aws-backup-coverage-review SKILL.md skill
aws/tools-for-devops-agent · skills/aws-backup-coverage-review/SKILL.md · AWS Backup coverage and data protection posture review. Determines
v1.0.3 · audit A · 137 stars
aws-eks-healthdashboard SKILL.md skill
aws/tools-for-devops-agent · skills/aws-eks-healthdashboard/SKILL.md · Use this skill when the user wants to know whether an Amazon EKS cluster is healthy right now, or asks you to assess…
v1.0.0 · audit A · 137 stars
aws-eks-operations-review SKILL.md skill
aws/tools-for-devops-agent · skills/aws-eks-operations-review/SKILL.md · Use this skill when someone wants an Amazon EKS cluster graded against best practices. Use it when they ask to review…
v1.9.6 · audit A · 137 stars
aws-fsxn-operations-review SKILL.md skill
aws/tools-for-devops-agent · skills/aws-fsxn-operations-review/SKILL.md · Amazon FSx for NetApp ONTAP Operational Review. Use when a user asks to review, audit, assess, or health-check FSx for…
v1.0.0 · audit A · 137 stars
aws-health-events SKILL.md skill
aws/tools-for-devops-agent · skills/aws-health-events/SKILL.md · ALWAYS use this skill in the beginning of any incident investigation, root cause
v1.0.1 · audit A · 137 stars

Every file in aws/tools-for-devops-agent

Browse by kind, by grade A, or by owner.