A small example skill that shows the basic structure and use of an Agent Skill.

Use it to test the skills system or as a starting template for creating a skill with a Markdown instruction file and a greeting script.

It gives developers a simple reference for how a skill can accept input, run a script, and return a result.

hello-world — Skill for Claude Code and Codex by Livus-AI

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 Livus-AI/Skills-MCP --skill hello-world

Clone the repo

git clone --depth 1 https://github.com/Livus-AI/Skills-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/livus-ai/skills-mcp/hello-world/github.svg)](https://agentmods.dev/skills/livus-ai/skills-mcp/hello-world)

Your own site

<a href="https://agentmods.dev/skills/livus-ai/skills-mcp/hello-world"><img src="https://agentmods.dev/badge/skills/livus-ai/skills-mcp/hello-world/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/livus-ai/skills-mcp/hello-world"><img src="https://agentmods.dev/badge/skills/livus-ai/skills-mcp/hello-world.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 383 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.

Model	Per session	Once invoked
Fable 5.1	$0.00033	$0.00383
Opus 5	$0.00016	$0.00192
Sonnet 5	$0.00007	$0.00077
Haiku 4.5	$0.00003	$0.00038

Measured 11d ago against content hash 6e09f38802c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

hello-world 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 11d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/greet.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.

skills/hello-world/SKILL.md · 63 lines

What it actually says

Hello World Skill

A minimal example skill that demonstrates the basic structure of an Agent Skill.

Available Scripts

greet.py - Generate a personalized greeting message

How to Use

Basic Usage

Run the greeting script with a name parameter:

execute_skill_script("hello-world", "greet.py", {"name": "Alice"})

Parameters

Parameter	Type	Required	Default	Description
`name`	string	No	"World"	Name to include in greeting
`uppercase`	boolean	No	false	Whether to uppercase the greeting

Example Responses

Basic greeting:

{
  "status": "success",
  "greeting": "Hello, Alice!",
  "timestamp": "2024-12-30T12:00:00"
}

Uppercase greeting:

{
  "status": "success", 
  "greeting": "HELLO, ALICE!",
  "timestamp": "2024-12-30T12:00:00"
}

Creating Your Own Skills

Use this skill as a template:

Create a directory under skills/ with your skill name (lowercase, hyphens)
Add a SKILL.md file with YAML frontmatter (name, description required)
Add scripts to scripts/ directory
Each script should have a run(params: dict) -> dict function

Files

What ships with it

1 file 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.

scripts/greet.py 1.3 KB runs code

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.

11d ago First seen · 63 lines · 33 tokens per session scan A 6e09f38802c8

Subscribe to this mod's changes

hello-world is a skill published in the GitHub repository Livus-AI/Skills-MCP (2 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 383 once invoked, about $0.0002 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 2026-08-31.

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens