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oa

Collects logs, events, and metrics into NDJSON bundles for analysis.

1|Updated Feb 11, 2026
Search Tags:#logs#jwt#metrics#events#bundle#ndjson
One-click install
npx skills add https://github.com/1XP-Inc/observability-agent --skill oa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: oa
Source: https://github.com/1XP-Inc/observability-agent/tree/main
Command: npx skills add https://github.com/1XP-Inc/observability-agent --skill oa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

OA provides a read-only gateway to fetch logs, events, and metrics from Kubernetes clusters or standalone environments without altering state, enabling AI agents to analyze observability data safely.

Core Features & Use Cases

  • Bundle-first workflow: request a bundle, poll for completion, and download a single compressed NDJSON artifact.
  • Dual mode operation: auto-detects Kubernetes cluster mode or standalone services based on environment.
  • Flexible data sources: collect logs, events, and metrics from both cluster and service targets, with time-window filtering and exclude patterns.

Quick Start

Create a bundle for a chosen target and download the resulting NDJSON bundle for analysis.

Frequently Asked Questions about oa

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I securely collect logs and metrics for AI analysis without altering cluster state?▼

You can securely collect logs and metrics for AI analysis by using a read-only gateway that fetches observability data without altering cluster state. This approach bundles logs, events, and metrics into a deterministic NDJSON artifact for agents.

Does this observability data collection tool work in standalone service mode outside Kubernetes?▼

Yes, the tool auto-detects standalone service mode outside Kubernetes. It flexibly collects logs, events, and metrics from service targets using time-window filtering and exclude patterns without requiring a cluster.

What is the bundle-first workflow for fetching observability NDJSON data?▼

The bundle-first workflow for fetching observability NDJSON data involves requesting a bundle for a chosen target, polling for completion, and downloading a single compressed NDJSON artifact containing logs, events, and metrics.

Do I need JWT-based authentication to fetch Kubernetes logs and events?▼

Yes, you need JWT-based authentication to securely fetch Kubernetes logs and events. This safety control ensures deterministic bundles are generated for AI analysis without compromising read-only gateway access.

Can I filter Kubernetes metrics collection by specific time windows and exclude patterns?▼

Yes, you can filter Kubernetes metrics collection by specific time windows and exclude patterns. This flexible data source configuration allows targeted log and event collection for deterministic AI analysis bundles.

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