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kv-tool-loop-stability

Certify KV/cache stability of mesh-llm OpenAI-compatible endpoints under repeated tool-loop activity.

3.1k|376|Updated Feb 11, 2026
Search Tags:#harness#tool-loop#eviction#kv-cache#skippy#stability-testing
One-click install
npx skills add https://github.com/Mesh-LLM/mesh-llm --skill kv-tool-loop-stability
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kv-tool-loop-stability
Source: https://github.com/Mesh-LLM/mesh-llm/tree/main/.agents/skills/kv-tool-loop-stability
Command: npx skills add https://github.com/Mesh-LLM/mesh-llm --skill kv-tool-loop-stability

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Certify mesh-llm KV/cache stability during repeated OpenAI tool-call loops and ensure consistent behavior under cache reuse patterns.

Core Features & Use Cases

  • Validate stability of KV slot management under looped tool calls.
  • Detect eviction, prefix-cache misses, and memory-slot contention in a mesh environment.
  • Use cases include regression testing, performance validation, and reliability checks for long-running sessions.

Quick Start

Attach to an existing OpenAI-compatible /v1 endpoint and run the plan to verify stability across multiple tool-loop iterations.

Frequently Asked Questions about kv-tool-loop-stability

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

FAQPage Schema
How do I test KV cache stability during OpenAI tool-call loops?▼

You can verify KV cache stability by attaching to an OpenAI-compatible /v1 endpoint and running a plan that tests repeated tool-loop iterations. This validates KV slot management and detects prefix-cache misses.

What causes KV slot eviction and memory contention in long-running LLM sessions?▼

KV slot eviction and memory contention occur when repeated tool-loop activity stresses cache reuse patterns. Testing these eviction edge cases helps detect instability in mesh environments and ensures consistent behavior.

Can I use this stability testing approach with any OpenAI-compatible endpoint?▼

Yes, you can attach the testing plan to any existing OpenAI-compatible /v1 endpoint to verify stability across multiple tool-loop iterations and validate Skippy KV slot cleanup behavior.

What is the best way to detect prefix-cache misses during regression testing?▼

The best way to detect prefix-cache misses is to run targeted stability testing that applies plan previews and evidence collection, preserving manifests and transcripts for thorough cache reuse validation.

Why does my LLM endpoint lose context consistency under repeated tool calls?▼

Context consistency loss happens when KV cache management fails under looped tool calls. Stability testing identifies prefix-cache lookup failures and eviction edge cases that degrade long-running session reliability.

Does KV cache stability testing require preserving results directories?▼

Yes, stability testing requires a preserved results directory containing manifests and transcripts. This evidence collection ensures you can audit Skippy KV slot cleanup and validate regression test outcomes.

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