How does this help with debugging?

It helps identify configuration conflicts by showing exactly which settings file is being used and whether debug mode is enabled, reducing the time spent on troubleshooting.

What information does the Inference Planz status skill display?

It displays the current plugin version, enabled status, active configuration files, agent-specific parameters (Research, Survey, Plan), and real-time session progress.

Which agents are monitored by this skill?

The skill monitors the Research Agent, Survey Agent, and Plan Agent, including their individual token limits and timeout configurations.

Can I see if my environment variables are active?

Yes, the skill explicitly lists environment overrides for settings like INFERENCE_PLANZ_DEBUG and INFERENCE_PLANZ_TIMEOUT.

Inference Planz Status Monitor

Name: Inference Planz Status Monitor
Author: BLERBZ

byBLERBZ

Analíticas y Monitorización

Displays comprehensive status, configuration settings, and real-time session data for the Inference Planz plugin.

Acerca de

The Inference Planz Status skill provides essential observability for developers managing multi-stage AI inference pipelines within Claude Code. It allows users to instantly verify plugin health, inspect active configuration sources (project-level vs. user-level), and monitor the specific parameters of Research, Survey, and Plan agents. By centralizing session progress and environment overrides in a single view, it eliminates guesswork when debugging complex AI workflows and ensures that agent-specific constraints like token limits and timeouts are correctly applied.

Características Principales

Detailed inspection of agent-specific parameters like max tokens and timeouts
0 GitHub stars
Visibility into active session states, pipeline stages, and collected artifacts
Detection of environment variable overrides for rapid debugging
Configuration source tracking across project, user, and plugin directories
Real-time monitoring of plugin health and versioning information

Casos de Uso

Troubleshooting agent performance by checking real-time token and temperature settings
Verifying that local configuration overrides are correctly loaded before running a large pipeline
Monitoring the progress of long-running multi-agent inference tasks

Acerca de

Características Principales

Detailed inspection of agent-specific parameters like max tokens and timeouts
0 GitHub stars
Visibility into active session states, pipeline stages, and collected artifacts
Detection of environment variable overrides for rapid debugging
Configuration source tracking across project, user, and plugin directories
Real-time monitoring of plugin health and versioning information

Casos de Uso

Troubleshooting agent performance by checking real-time token and temperature settings
Verifying that local configuration overrides are correctly loaded before running a large pipeline
Monitoring the progress of long-running multi-agent inference tasks