skywatch-querying-clickhouse

Execute read-only ClickHouse queries on Osprey rule execution data.

6|Updated Feb 21, 2026
One-click install
npx skills add https://github.com/skywatch-bsky/skywatch-agent-skills --skill skywatch-querying-clickhouse
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skywatch-querying-clickhouse
Source: https://github.com/skywatch-bsky/skywatch-agent-skills/tree/main/polytoken/skills/skywatch-querying-clickhouse
Command: npx skills add https://github.com/skywatch-bsky/skywatch-agent-skills --skill skywatch-querying-clickhouse

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides a standardized, safe framework for querying complex Osprey rule execution data in ClickHouse, preventing common errors like runaway queries or accidental data modification.

Core Features & Use Cases

  • Safe Query Patterns: Enforces read-only discipline and mandatory LIMIT clauses for all investigations.
  • Schema Discovery: Provides tools to inspect the wide, dynamic Osprey event table schema.
  • Advanced Analysis: Includes patterns for temporal trend analysis, content similarity detection, and coordinated network identification.

Quick Start

Use the skywatch-querying-clickhouse skill to list the most recent Osprey events from the last hour.

Frequently Asked Questions about skywatch-querying-clickhouse

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

FAQPage Schema
How do I safely query ClickHouse for Osprey security investigations without risking cluster stability?

To safely query ClickHouse for security investigations, use SELECT-only operations and enforce mandatory LIMIT clauses. This prevents runaway queries and accidental data modification while analyzing Osprey rule execution data.

What is the best way to identify coordinated networks using ClickHouse and Osprey rule execution data?

Identifying coordinated networks with ClickHouse involves applying advanced analysis patterns to Osprey rule execution data. This includes temporal trend monitoring and content similarity detection within the AT Protocol ecosystem.

How do I inspect the schema of a wide, dynamic Osprey event table in ClickHouse?

Inspecting a dynamic Osprey event table schema in ClickHouse requires schema discovery tools. These tools facilitate safe exploration of the table structure before executing complex security investigation queries.

Can I use standard SQL data analysis techniques for temporal trend monitoring in ClickHouse?

You can use SQL data analysis for temporal trend monitoring in ClickHouse. The skill provides standardized patterns for querying Osprey event data to track security trends over specific time periods.

What limitations exist when querying Osprey data in ClickHouse?

Limitations when querying Osprey data include strict safety constraints enforcing read-only SELECT operations and mandatory LIMIT clauses. These constraints ensure cluster stability by preventing accidental data modification and runaway queries.

Does the skywatch-querying-clickhouse skill support pattern analysis for AT Protocol ecosystem events?

The skywatch-querying-clickhouse skill supports pattern analysis for AT Protocol ecosystem events. It executes read-only ClickHouse queries against Osprey rule execution data to detect content similarity and coordinated networks.