What is getting-started?

Setup guidance for the Red Hat Lightspeed MCP server, which lets AI agents manage Red Hat Enterprise Linux systems. MCP is a standard way for an AI client to connect to external tools.

Use it to install the server or its skills, configure service accounts and credentials, connect an AI client, and learn which toolsets are available.

It helps users go from having no connection to a working, authenticated server and explains the available setup choices.

How RedHatInsights/insights-mcp configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to RedHatInsights/insights-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/RedHatInsights/insights-mcp/main/.agents/skills/getting-started/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/RedHatInsights/insights-mcp

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/redhatinsights/insights-mcp/getting-started/github.svg)](https://agentmods.dev/skills/redhatinsights/insights-mcp/getting-started)

Your own site

<a href="https://agentmods.dev/skills/redhatinsights/insights-mcp/getting-started"><img src="https://agentmods.dev/badge/skills/redhatinsights/insights-mcp/getting-started/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/redhatinsights/insights-mcp/getting-started"><img src="https://agentmods.dev/badge/skills/redhatinsights/insights-mcp/getting-started.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 106 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,698 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 pass 7 Sept 2026

SkillSpector: 1 finding, up to low

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 →

low Tool Misuse · line 151
Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).

Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.

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	$0.00106	$0.01698
Opus 5.5	$0.00042	$0.00679
Sonnet 5.5	$0.00021	$0.00340
Haiku 4.5	$0.00011	$0.00170

Measured 15d ago against content hash 5b54b24f77f6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

getting-started 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 15d 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.

.agents/skills/getting-started/SKILL.md · 167 lines

How it starts

The opening of the file, as written. The whole thing — 167 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Getting Started with Red Hat Lightspeed MCP

Guide the user from zero to a working MCP connection. Adapt the steps below to their situation — ask which MCP client they use and whether they already have a Red Hat service account before walking through everything.

Install Skills with Lola (optional)

If the user wants the Lightspeed MCP skills installed into their AI assistant without cloning the full repo, they can use Lola — a universal AI Context Package Manager.

# Install Lola (one-time)
uv tool install git+https://github.com/RedHatProductSecurity/lola

# Add the Lightspeed marketplace (one-time)
lola market add lightspeed https://raw.githubusercontent.com/RedHatInsights/insights-mcp/main/lola-marketplace.yml

# Install skills to your AI assistant
lola install rh-lightspeed-mcp-skills -a cursor
lola install rh-lightspeed-mcp-skills -a claude-code
lola install rh-lightspeed-mcp-skills -a gemini-cli

This installs the skills to the assistant's native directory (e.g., .cursor/skills/, .claude/skills/). Users who clone the repo already have the skills in .agents/skills/ — Lola is for distribution without cloning.

Setup Flow

1. Prerequisites

The user needs:

podman or docker installed
A Red Hat account at https://console.redhat.com
An MCP-compatible client

On macOS, if podman is installed but the client can't find it, use the full path from which podman (usually /opt/homebrew/bin/podman or /usr/local/bin/podman).

2. Authentication

THIS STEP MUST BE PERFORMED BY THE USER — NOT BY THE AGENT. Do not attempt to create, modify, or manage service accounts or permissions on behalf of the user. Only provide instructions and let the user act.

The user needs a Red Hat service account. Direct them to do the following:

Go to https://console.redhat.com → Settings (gear icon) → "Service Accounts"
Create a service account → save the Client ID and Client Secret
Provide those values as LIGHTSPEED_CLIENT_ID and LIGHTSPEED_CLIENT_SECRET

Read the full file on GitHub · 167 lines

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.

15d ago Changed · +1 lines 5b54b24f77f6
17d ago Changed · +1 lines 54ecd8428363
29d ago Changed · -3 lines f18d99213c23
1mo ago Changed · +8 lines 5c16a61e6255
2mo ago Changed cf2a678ea6da
2mo ago First seen · 160 lines · 106 tokens per session scan A eba210e707df

Subscribe to this mod's changes

getting-started is a skill published in the GitHub repository RedHatInsights/insights-mcp (25 stars, last pushed yesterday), licensed Apache-2.0. It adds 106 tokens to every session and 1,698 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-30.

getting-started next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
getting-startedRedHatInsights/insights-mcp	Skill	25	yesterday	Apache-2.0	A	106	Claude Code, Codex
imagegenopenai/codex	Skill	133k	yesterday	Apache-2.0	A	113	Codex
playwright-climicrosoft/playwright	Skill	99k	yesterday	Apache-2.0	A	19	Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginners	Skill	79k	4d ago	MIT	A	200	Claude Code, Codex
systematic-debuggingobra/superpowers	Skill	313k	3d ago	MIT	A	21	Claude Code
next-cache-components-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	95	Claude Code
next-partial-prefetching-adoptionvercel/next.js	Skill	143k	yesterday	MIT	A	103	Claude Code

insights-mcp: Skill for Claude Code