assess-account

Aggregate ClickHouse, PDS, and Ozone data to classify AT Protocol accounts.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates ad-hoc, inconsistent account profiling by providing a rigorous, repeatable framework for investigating AT Protocol accounts, ensuring all necessary data points are captured for accurate moderation decisions.

Core Features & Use Cases

  • Structured Data Collection: Orchestrates research across ClickHouse, PDS records, and Ozone moderation logs to build a comprehensive account profile.
  • Automated Classification: Applies a multi-signal schema to categorize accounts as genuine, bot, IO, scam, spam, or policy violator.
  • Use Case: Use this skill when you need to determine the risk profile of a suspicious account during Phase 2 characterization or as a standalone quick assessment to decide whether to label or escalate.

Quick Start

Use the assess-account skill to perform a full investigation on the account with DID did:plc:example12345.

Frequently Asked Questions about assess-account

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

FAQPage Schema
How do I investigate a suspicious AT Protocol account for bot activity or policy violations?

AT Protocol account investigation requires aggregating behavioral, network, and moderation data to categorize accounts as genuine, bot, IO, scam, spam, or policy violator. This Skill orchestrates data collection across ClickHouse, PDS records, and Ozone moderation logs to build a comprehensive profile for accurate moderation decisions.

What is the best way to classify AT Protocol accounts suspected of coordinated information operations?

The best way to classify accounts suspected of coordinated information operations is applying a multi-signal schema to aggregated behavioral and network data. This Skill provides a rigorous, repeatable framework that categorizes accounts as genuine, bot, IO, scam, spam, or policy violator for consistent characterization.

How does AT Protocol account assessment use ClickHouse, PDS records, and Ozone moderation logs?

Account assessment integrates ClickHouse, PDS record fetching, and Ozone moderation tools to perform structured data collection. This orchestration builds a comprehensive account profile by aggregating behavioral, network, and moderation data required for accurate classification and risk-based recommendations.

Do I need ClickHouse and Ozone integration to perform AT Protocol account classification?

Yes, performing structured account assessment and classification requires integration with ClickHouse, PDS record fetching, and Ozone moderation tools. These dependencies are necessary to aggregate the behavioral, network, and moderation data needed to produce consistent risk-based recommendations.

Can I use this account assessment for quick standalone risk profiling during moderation?

Yes, you can use this account assessment as a standalone quick assessment to determine the risk profile of a suspicious account. It applies a multi-signal classification schema during Phase 2 characterization to help decide whether to label or escalate the account.

Why does AT Protocol account investigation require a standardized assessment framework?

AT Protocol account investigation requires a standardized assessment framework to eliminate ad-hoc, inconsistent account profiling. A rigorous, repeatable framework ensures all necessary behavioral, network, and moderation data points are captured for accurate moderation decisions and consistent risk-based recommendations.