A set of Python utilities for creating OpenShift node-tuning manifests and checking how cluster nodes are configured. OpenShift is a platform for running containerised applications, and a manifest is a file describing the desired configuration.

Use it to generate Tuned profiles or inspect live nodes and saved sosreports, which are diagnostic archives from Red Hat systems.

It avoids writing tuning YAML by hand and helps identify gaps in CPU isolation, interrupt handling, memory pages, system settings, and network counters.

scripts — Skill for Claude Code by openshift-eng

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 openshift-eng/ai-helpers --skill scripts

Clone the repo

git clone --depth 1 https://github.com/openshift-eng/ai-helpers

Made for: Claude Code.

Or install node-tuning, the plugin that ships this one along with the rest of its 1 skill, 2 commands.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/openshift-eng/ai-helpers/scripts/github.svg)](https://agentmods.dev/skills/openshift-eng/ai-helpers/scripts)

Your own site

<a href="https://agentmods.dev/skills/openshift-eng/ai-helpers/scripts"><img src="https://agentmods.dev/badge/skills/openshift-eng/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/openshift-eng/ai-helpers/scripts"><img src="https://agentmods.dev/badge/skills/openshift-eng/ai-helpers/scripts.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,167 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. Third-party audits

NVIDIA SkillSpector warn 7 Sept 2026

SkillSpector: 4 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

high Privilege Escalation · line 22
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
high Privilege Escalation · line 113
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
high Privilege Escalation · line 139
Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.

Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
medium Rogue Agent · line 58
Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.

Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.

How audits are shown

Origin original No closer match found 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.

Model	Per session	Once invoked
Fable 5.1	$0.00010	$0.02167
Opus 5	$0.00005	$0.01084
Sonnet 5	$0.00002	$0.00433
Haiku 4.5	$0.00001	$0.00217

Measured 7d ago against content hash 234060bd1278, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

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 7d 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

Copies of this mod

1 near-identical copy found in the catalogue:

Node Tuning Helper Scripts — 98% identical, 26 lines differ

plugins/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 plugins/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

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.

Inspect or Label Nodes (optional)

# List all worker nodes
python3 plugins/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 plugins/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.

7d ago First seen · 184 lines · 10 tokens per session scan A 234060bd1278

Subscribe to this mod's changes

scripts is a skill published in the GitHub repository openshift-eng/ai-helpers (116 stars, last pushed today), licensed Apache-2.0. It adds 10 tokens to every session and 2,167 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.

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