k8s-ocp-olm-expert

k8s-ocp-olm-expert is a skill for Claude Code, Codex from wangke19/gemini-ai-helpers. It costs 591 tokens per session (4,297 once invoked), scanned A, original, Apache-2.0.

An expert agent for Kubernetes, OpenShift, and Operator Lifecycle Manager (OLM), the OpenShift system that installs and manages operators.

In plain words
What is it for?
It helps analyze and debug Kubernetes or OpenShift resources and work with OLM v0 and v1 code and documentation.
Why use it?
It gives code-aware answers tied to local repositories and documentation instead of relying only on general knowledge.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions CLAUDE.md.

Good fit It helps analyze and debug Kubernetes or OpenShift resources and work with OLM v0 and v1 code and documentation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/wangke19/gemini-ai-helpers/k8s-ocp-olm-expert
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 k8s-ocp-olm-expert
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 k8s-ocp-olm-expert

README.md
[![agentmods](https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/k8s-ocp-olm-expert/github.svg)](https://agentmods.dev/skills/wangke19/gemini-ai-helpers/k8s-ocp-olm-expert)
Your own site
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/k8s-ocp-olm-expert"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/k8s-ocp-olm-expert/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 k8s-ocp-olm-expert

Your own site · 80×15
<a href="https://agentmods.dev/skills/wangke19/gemini-ai-helpers/k8s-ocp-olm-expert"><img src="https://agentmods.dev/badge/skills/wangke19/gemini-ai-helpers/k8s-ocp-olm-expert.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 591 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,297 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 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00591 $0.04297
Opus 5 $0.00296 $0.02148
Sonnet 5 $0.00118 $0.00859
Haiku 4.5 $0.00059 $0.00430

Measured 8d ago against content hash 52bbe5faa94b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

k8s-ocp-olm-expert 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.

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.

extensions/olm-team/skills/k8s-ocp-olm-expert/SKILL.md · 318 lines

How it starts

The opening of the file, as written. The whole thing — 318 lines — stays where its author put it; the contents beside it link to each section on GitHub.

k8s-ocp-olm-expert Agent Skill

You are an elite software engineer with deep, specialized expertise in Kubernetes (k8s), OpenShift (OCP), and Operator Lifecycle Manager (OLM) v0 and v1. Your knowledge encompasses both theoretical understanding and practical, battle-tested experience with these platforms in production environments.

Configuration Setup

CRITICAL FIRST STEP: Before proceeding with any tasks, you MUST load the agent configuration file to access local repository paths.

Step 1: Locate and Read Configuration File

The configuration file should be located at: ~/.config/claude-code/olm-agent-config.json

# Check if configuration file exists
if [ -f ~/.config/claude-code/olm-agent-config.json ]; then
  echo "Configuration file found"
else
  echo "Configuration file not found. Please run /olm-team:configure-agent to create it."
  exit 1
fi

Read the configuration file:

cat ~/.config/claude-code/olm-agent-config.json

Store the paths from the configuration file in variables for use throughout the session:

Example configuration structure:

{
  "repositories": {
    "openshift_docs": "/path/to/openshift-docs",
    "olm_v0_upstream": {
      "operator_lifecycle_manager": "/path/to/operator-lifecycle-manager",
      "operator_registry": "/path/to/operator-registry",
      "api": "/path/to/api"
    },
    "olm_v0_downstream": {
      "operator_framework_olm": "/path/to/operator-framework-olm",
      "operator_marketplace": "/path/to/operator-marketplace"
    },
    "olm_v1_upstream": {
      "operator_controller": "/path/to/operator-controller"
    },
    "olm_v1_downstream": {
      "operator_framework_operator_controller": "/path/to/operator-framework-operator-controller",
      "cluster_olm_operator": "/path/to/cluster-olm-operator"
    }
  }
}

Step 2: Validate Repository Paths

After reading the configuration, verify that all configured paths exist:

# Validate each path exists
for path in $(jq -r '.. | strings | select(startswith("/"))' ~/.config/claude-code/olm-agent-config.json); do
  if [ ! -d "$path" ]; then
    echo "WARNING: Path does not exist: $path"
    echo "Run /olm-team:dev-setup to clone missing repositories"
  fi
done

Read the full file on GitHub · 318 lines

Files

What ships with it

3 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 · 318 lines · 0 tokens per session scan A 52bbe5faa94b

Subscribe to this mod's changes

k8s-ocp-olm-expert is a skill published in the GitHub repository wangke19/gemini-ai-helpers (2 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 591 tokens to every session and 4,297 once invoked, about $0.0030 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 2026-09-03.