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Node Tuning Helper Scripts

Node Tuning Helper Scripts is a skill for Claude Code, Codex from wangke19/gemini-ai-helpers. It costs 14 tokens per session (2,168 once invoked), scanned A, a copy of scripts, Apache-2.0.

A set of Python helper scripts for creating Node Tuning Operator manifests and examining node-tuning data from live nodes or sosreports, which are saved diagnostic snapshots.

In plain words
What is it for?
It helps render Tuned YAML, inspect CPU isolation, interrupt handling, huge pages, sysctl values, and network counters, and use the results in automation or incident reports.
Why use it?
It provides repeatable utilities for generating configuration and finding tuning gaps without performing every check by hand.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 2repo 5mo ago A scan 14 tokens copy · 98% Apache-2.0

Good fit It helps render Tuned YAML, inspect CPU isolation, interrupt handling, huge pages, sysctl values, and network counters, and use the results in automation or incident reports.

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Install with agentmods
npx agentmods add skills/wangke19/gemini-ai-helpers/scripts
View source ↗ wangke19/gemini-ai-helpers
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add wangke19/gemini-ai-helpers --skill scripts
Clone the repo
git clone --depth 1 https://github.com/wangke19/gemini-ai-helpers

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for Node Tuning Helper Scripts

README.md
[![agentmods](https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/scripts/github.svg)](https://agentmods.dev/skills/wangke19/gemini-ai-helpers/scripts)
Your own site
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/scripts"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/scripts/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Node Tuning Helper Scripts

Your own site · 80×15
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/scripts"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/scripts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,168 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 98% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.02168
Opus 5 $0.00007 $0.01084
Sonnet 5 $0.00003 $0.00434
Haiku 4.5 $0.00001 $0.00217

Measured 8d ago against content hash 5bcf9009dbfa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

Node Tuning Helper Scripts scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (analyze_node_tuning.py, generate_tuned_profile.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

98% identical to scripts — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

extensions/node-tuning/skills/scripts/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Node Tuning Helper Scripts

Detailed instructions for invoking the helper utilities that back /node-tuning commands:

  • generate_tuned_profile.py renders Tuned manifests (tuned.openshift.io/v1).
  • analyze_node_tuning.py inspects live nodes or sosreports for tuning gaps.

When to Use These Scripts

  • Translate structured command inputs into Tuned manifests for the Node Tuning Operator.
  • Iterate on generated YAML outside the assistant or integrate the generator into automation.
  • Analyze CPU isolation, IRQ affinity, huge pages, sysctl values, and networking counters from live clusters or archived sosreports.

Prerequisites

  • Python 3.8 or newer (python3 --version).
  • Repository checkout so the scripts under extensions/node-tuning/skills/scripts/ are accessible.
  • Optional: oc CLI when validating or applying manifests.
  • Optional: Extracted sosreport directory when running the analysis script offline.
  • Optional (remote analysis): oc CLI access plus a valid KUBECONFIG when capturing /proc//sys or sosreport via oc debug node/<name>. The sosreport workflow pulls the registry.redhat.io/rhel9/support-tools image (override with --toolbox-image or TOOLBOX_IMAGE) and requires registry access. HTTP(S) proxy env vars from the host are forwarded automatically when present, but using a proxy is optional.

Script: generate_tuned_profile.py

Implementation Steps

  1. Collect Inputs

    • --profile-name: Tuned resource name.
    • --summary: [main] section summary.
    • Repeatable options: --include, --main-option, --variable, --sysctl, --section (SECTION:KEY=VALUE).
    • Target selectors: --machine-config-label key=value, --match-label key[=value].
    • Optional: --priority (default 20), --namespace, --output, --dry-run.
    • Use --list-nodes/--node-selector to inspect nodes and --label-node NODE:KEY[=VALUE] (plus --overwrite-labels) to tag machines.

  2. Inspect or Label Nodes (optional)

    # List all worker nodes
python3 extensions/node-tuning/skills/scripts/generate_tuned_profile.py --list-nodes --node-selector "node-role.kubernetes.io/worker" --skip-manifest

# Label a specific node for the worker-hp pool
python3 extensions/node-tuning/skills/scripts/generate_tuned_profile.py \
  --label-node ip-10-0-1-23.ec2.internal:node-role.kubernetes.io/worker-hp= \
  --overwrite-labels \
  --skip-manifest

Read the full file on GitHub · 184 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 184 lines · 14 tokens per session scan A 5bcf9009dbfa

Subscribe to this mod's changes

Node Tuning Helper Scripts is a skill published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 14 tokens to every session and 2,168 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to scripts, differing in 26 lines, and is treated as a copy.

DebuggingDevOps and cloudextentionsgemini-cliopenshiftredhat
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