honeycomb-analysis
OfficialUncover insights in Honeycomb data fast.
Authorincidentfox
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Observability analysis can be time-consuming when manually querying across Honeycomb datasets. This skill provides ready-to-run scripts and utilities to surface actionable insights quickly, accelerating incident investigation and performance optimization.
Core Features & Use Cases
- Prebuilt scripts: get_statistics.py, run_query.py, list_datasets.py to surface counts, breakdowns, and custom metrics.
- Dataset discovery and exploration: list_datasets.py returns available Honeycomb datasets with metadata.
- SLOs and triggers: list_slos.py and list_triggers exposed via run_query.py for monitoring and alerting workflows.
- Use Case: An on-call engineer runs get_statistics.py on production to estimate error rate and top endpoints, then drills into P99 latency by service with run_query.py.
Quick Start
Install Python 3, install httpx, clone the repository, and run:
- python scripts/get_statistics.py production
- python scripts/run_query.py production --calc P99 --breakdown service.name --column duration_ms
- python scripts/list_datasets.py
Dependency Matrix
Required Modules
httpx
Components
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: honeycomb-analysis Download link: https://github.com/incidentfox/incidentfox/archive/main.zip#honeycomb-analysis Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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