How do I install the Kv Tool Loop Stability skill?

Run npx skillmds@latest add mesh-llm/kv-tool-loop-stability in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Kv Tool Loop Stability safe to use?

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Which AI agents work with Kv Tool Loop Stability?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Kv Tool Loop Stability free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Kv Tool Loop Stability?

mesh-llm (@mesh-llm) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Kv Tool Loop Stability by mesh-llm — Agent Skill

Name: Kv Tool Loop Stability
Author: mesh-llm

File contents

KV Tool-Loop Stability

Use this skill when changing Skippy KV slot cleanup, prefix-cache lookup, OpenAI tool-loop behavior, agent harnesses, or any runtime path related to llama_decode failed, failed to find a memory slot, low same-prefix cache reuse, or proactive eviction failures.

Workflow

Attach to an existing OpenAI-compatible /v1 endpoint. This harness does not start nodes, load models, join meshes, or change routing policy.
Prefer a direct model when reproducing Skippy KV/cache issues. Use auto only when intentionally validating routed behavior.
Run --print-plan first and confirm the models, attempts, pressure_turns, timeout, cache thresholds, output directory, and native logs.
Pass the active Skippy native log when available. The harness checkpoints native logs at run start and scans only appended bytes.
Preserve the evidence directory: manifest.json, results.jsonl, summary.json, summary.md, and transcripts/*.jsonl.

Commands

Preview the run without touching the endpoint:

scripts/qa-kv-tool-loop-stability.py \
  --base-url http://127.0.0.1:9337/v1 \
  --models Qwen/Qwen2.5-3B-Instruct-GGUF:q4_k_m \
  --attempts 5 \
  --pressure-turns 8 \
  --timeout 180 \
  --min-cached-tokens 2048 \
  --suffix-prefill-limit 256 \
  --native-log ~/.mesh-llm/runtime/<pid>/logs/skippy-native.log \
  --output-dir target/kv-tool-loop-stability/local \
  --print-plan

Run the certification:

scripts/qa-kv-tool-loop-stability.py \
  --base-url http://127.0.0.1:9337/v1 \
  --models Qwen/Qwen2.5-3B-Instruct-GGUF:q4_k_m \
  --attempts 5 \
  --pressure-turns 8 \
  --timeout 180 \
  --min-cached-tokens 2048 \
  --suffix-prefill-limit 256 \
  --native-log ~/.mesh-llm/runtime/<pid>/logs/skippy-native.log \
  --output-dir target/kv-tool-loop-stability/local

Reporting Rules

Report the model list, attempts, pressure turns, timeout, cache thresholds, success rate, native log paths, and output directory.
Include the summary verdict and failing phase details from summary.md or summary.json.
Do not paste full prompts, auth headers, huge stable prefixes, or private endpoint data.
If no native log is available, say that native-log scanning was not run.

Validation

When changing this harness, run:

python3 -m unittest scripts.tests.test_qa_kv_tool_loop_stability
python3 -m py_compile scripts/qa-kv-tool-loop-stability.py scripts/tests/test_qa_kv_tool_loop_stability.py

---name: kv-tool-loop-stabilitydescription: Use this skill when certifying mesh-llm KV/cache stability under repeated OpenAI tool-call loops, same-prefix cache reuse, suffix-prefill limits, or native Skippy slot/decode/eviction failures.---# KV Tool-Loop StabilityUse this skill when changing Skippy KV slot cleanup, prefix-cache lookup,OpenAI tool-loop behavior, agent harnesses, or any runtime path related to`llama_decode failed`, `failed to find a memory slot`, low same-prefix cachereuse, or proactive eviction failures.## Workflow1. Attach to an existing OpenAI-compatible `/v1` endpoint. This harness does not start nodes, load models, join meshes, or change routing policy.2. Prefer a direct model when reproducing Skippy KV/cache issues. Use `auto` only when intentionally validating routed behavior.3. Run `--print-plan` first and confirm the models, attempts, `pressure_turns`, timeout, cache thresholds, output directory, and native logs.4. Pass the active Skippy native log when available. The harness checkpoints native logs at run start and scans only appended bytes.5. Preserve the evidence directory: `manifest.json`, `results.jsonl`, `summary.json`, `summary.md`, and `transcripts/*.jsonl`.## CommandsPreview the run without touching the endpoint:```bashscripts/qa-kv-tool-loop-stability.py \ --base-url http://127.0.0.1:9337/v1 \ --models Qwen/Qwen2.5-3B-Instruct-GGUF:q4_k_m \ --attempts 5 \ --pressure-turns 8 \ --timeout 180 \ --min-cached-tokens 2048 \ --suffix-prefill-limit 256 \ --native-log ~/.mesh-llm/runtime/<pid>/logs/skippy-native.log \ --output-dir target/kv-tool-loop-stability/local \ --print-plan```Run the certification:```bashscripts/qa-kv-tool-loop-stability.py \ --base-url http://127.0.0.1:9337/v1 \ --models Qwen/Qwen2.5-3B-Instruct-GGUF:q4_k_m \ --attempts 5 \ --pressure-turns 8 \ --timeout 180 \ --min-cached-tokens 2048 \ --suffix-prefill-limit 256 \ --native-log ~/.mesh-llm/runtime/<pid>/logs/skippy-native.log \ --output-dir target/kv-tool-loop-stability/local```## Reporting Rules- Report the model list, attempts, pressure turns, timeout, cache thresholds, success rate, native log paths, and output directory.- Include the summary verdict and failing phase details from `summary.md` or `summary.json`.- Do not paste full prompts, auth headers, huge stable prefixes, or private endpoint data.- If no native log is available, say that native-log scanning was not run.## ValidationWhen changing this harness, run:```bashpython3 -m unittest scripts.tests.test_qa_kv_tool_loop_stabilitypython3 -m py_compile scripts/qa-kv-tool-loop-stability.py scripts/tests/test_qa_kv_tool_loop_stability.py```

Frequently asked questions

Kv Tool Loop Stability