Qwen Holo Output Orchestrator

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The Qwen Holo Output Skill acts as a specialized orchestrator for the holo_index system, bridging the data exchange between 0102 (Claude), Qwen, and Gemma agents. By utilizing an Agentic Output Throttler, the skill maps user queries to specific intents—such as alerts, actions, or insights—and renders prioritized responses in either compact or verbose modes. Beyond simple formatting, it maintains a detailed telemetry log in JSONL format, which facilitates pattern learning for Gemma while strictly adhering to safety standards by stripping sensitive credentials. This skill is essential for maintaining high-fidelity communication and providing the structural foundation for autonomous agentic workflows within the Foundups ecosystem.

Características Principales

• 4 GitHub stars
• Intent-driven output mapping for specialized sections like alerts, actions, and insights
• Automated telemetry logging to structured JSONL for agent pattern analysis
• Summary generation of historical interaction metrics to support model fine-tuning
• Integrated Unicode filtering and credential stripping for enhanced security and compliance
• Prioritized rendering engine with support for both compact and verbose response modes

Casos de Uso

• Building a historical dataset of agent interactions to improve future model pattern recognition
• Standardizing output formats when multiple AI agents interact with the Holo CLI environment
• Enforcing strict security protocols and token size limits in automated system responses