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pi-behavior-monitors

Classify agent activity against JSON pattern libraries and write findings.

25|4|Updated Mar 13, 2026
Search Tags:#automation#templates#patterns#json#classification#behavior#monitor
One-click install
npx skills add https://github.com/davidorex/pi-project-workflows --skill pi-behavior-monitors
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pi-behavior-monitors
Source: https://github.com/davidorex/pi-project-workflows/tree/main/packages/pi-behavior-monitors/skills/pi-behavior-monitors
Command: npx skills add https://github.com/davidorex/pi-project-workflows --skill pi-behavior-monitors

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Behavior monitors observe agent activity and steer corrections when issues are detected, helping maintain safe and productive interactions.

Core Features & Use Cases

  • JSON-based monitors located under .pi/monitors/ with classify, patterns, instructions, and scope, enabling autonomous watchdogs.
  • Writes findings to JSON files for downstream consumption and supports on-demand steering, enabling automatic issue detection and remediation.
  • Use cases include reviewing agent behavior, classifying patterns against libraries, and steering or logging findings for governance.

Quick Start

Create a new monitor under .pi/monitors/ including a .monitor.json, a .patterns.json, and (optionally) an .instructions.json, then run /reload 3 to activate.

Frequently Asked Questions about pi-behavior-monitors

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

FAQPage Schema
How do I monitor and classify autonomous agent behavior using JSON patterns?▼

To monitor agent behavior, you create JSON pattern libraries that observe activity and classify it against predefined rules using a side-channel LLM. This enables autonomous watchdogs to detect issues and steer corrections automatically.

How do I set up autonomous behavior monitors for AI agents?▼

Create a directory under .pi/monitors/ containing a .monitor.json file, a .patterns.json file, and optionally an .instructions.json file. Run /reload 3 to activate the autonomous monitors and begin classifying agent behavior.

Can behavior monitors automatically write structured findings to JSON files?▼

Yes, behavior monitors can write structured findings to JSON files for downstream consumption. This allows governance systems to log classified agent activity patterns and review detected issues for remediation.

What is the best way to steer AI agent corrections when issues are detected?▼

The best way to steer corrections is using autonomous monitors that classify agent activity against JSON pattern libraries. When issues are detected, monitors provide on-demand steering to remediate behavior automatically.

Do I need a side-channel LLM to classify agent behavior against pattern libraries?▼

Yes, a side-channel LLM is required to classify agent behavior against JSON pattern libraries. It observes the agent's activity independently and determines whether the behavior matches defined patterns for governance.

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