feedback-observing

Analyze agent interaction logs to emit state-transition FeedbackEvents on the Loa event bus.

Updated Feb 17, 2026
One-click install
npx skills add https://github.com/0xHoneyJar/construct-observer --skill feedback-observing
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: feedback-observing
Source: https://github.com/0xHoneyJar/construct-observer/tree/main/skills/feedback-observing
Command: npx skills add https://github.com/0xHoneyJar/construct-observer --skill feedback-observing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reads agent interaction logs across packs to identify operational patterns, enabling proactive observability and response.

Core Features & Use Cases

  • Collects and analyzes logs from grimoires//agent-logs/.jsonl to reveal degradation and recovery signals.
  • Emits state-transition FeedbackEvents when patterns change (healthy → concerning, concerning → healthy), supports dormant detection and pack filtering.

Quick Start

Run the feedback-observing skill against your current agent-logs to begin emitting health-transition events.

Frequently Asked Questions about feedback-observing

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

FAQPage Schema
How do I detect agent-log health trends and state shifts in my observability workflow?

You detect agent-log health trends by reading interaction logs across packs to identify operational patterns, enabling proactive observability when degradation or recovery signals appear.

What triggers a state-transition FeedbackEvent during log analysis?

A state-transition FeedbackEvent is triggered when operational patterns change, such as shifting from healthy to concerning or concerning to healthy, and includes dormant-state detection for inactive periods.

How do I start monitoring agent interaction logs for pattern detection?

To start monitoring agent interaction logs, run the feedback-observing process against your current agent-logs directory to begin emitting health-transition events automatically across all packs.

Can I filter log-analysis events by pack or analyze them within a specific time window?

Yes, log-analysis events support pack-based filtering and time-window analysis, allowing you to isolate specific packs and evaluate operational patterns within defined timeframes via the event bus.

Does agent-log observability require external dependencies or additional components?

No external dependencies or components are required, as agent-log observability operates independently by reading JSONL log files and emitting FeedbackEvents directly through the Loa event bus.