my

Inspect and adjust agent runtime parameters like model, iterations, and context window.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/timothyckl/nano-hermes --skill my
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: my
Source: https://github.com/timothyckl/nano-hermes/tree/main/nano_hermes/skills/my
Command: npx skills add https://github.com/timothyckl/nano-hermes --skill my

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The agent often operates with dynamic runtime settings (model, iterations, context window, token usage, and web configuration). This skill exposes, audits, and adjusts those settings to diagnose issues, optimize performance, and maintain user preferences across turns.

Core Features & Use Cases

  • Inspect and adjust runtime parameters such as model, iterations, context window, and token usage to optimize task performance.
  • Diagnose interruptions or unexpected pauses by reading current settings and scratchpad notes.
  • Use Case: When asked what model you're running or how many tokens you've used, report the current configuration.
  • Remember user preferences across turns and apply them to future responses.

Quick Start

Query the agent's runtime state and adjust model, iterations, context window, or web configuration as needed to resolve issues.

Frequently Asked Questions about my

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

FAQPage Schema
How do I diagnose an agent's runtime state when it pauses unexpectedly?

To diagnose an agent's runtime state during unexpected pauses, query the current model, iterations, context window, and token usage. The tool reads current settings and scratchpad notes to identify the configuration causing the interruption.

Can I adjust the context window and token usage limits during a task?

Yes, you can adjust the context window and token usage limits during a task. The tool exposes runtime parameters for modification, applying guardrails to validate parameter ranges and restricting changes to in-memory modifications only.

What is the best way to check what model an agent is running?

The best way to check what model an agent is running is to query its runtime state. This tool inspects current configuration settings, including the active model, token usage, and web configuration, reporting the exact parameters.

How do I tune agent iterations to optimize task performance?

To tune agent iterations and optimize task performance, inspect the current runtime state and adjust the iteration parameters. The tool validates parameter ranges against guardrails to ensure safe in-memory modifications.

Does adjusting runtime configuration persist across multiple turns?

Runtime configuration adjustments remain in-memory only and do not persist permanently. However, the tool can remember user preferences across turns, applying those stored preferences to future responses within the active session.