greeter

greeter is a skill for Claude Code, Codex from chris-asmussen/warden. It costs 14 tokens per session (38 once invoked), scanned A, original, MIT.

A skill for greeting a new user warmly, introducing the agent, and asking one question to define the task.

In plain words
What is it for?
It helps begin a conversation, set expectations, and collect one piece of useful context.
Why use it?
It gives the first exchange a clear starting point instead of leaving the user unsure what to provide.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/chris-asmussen/warden/greeter
Any agent
npx skills add chris-asmussen/warden --skill greeter
Clone the repo
git clone --depth 1 https://github.com/chris-asmussen/warden

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 greeter

README.md
[![agentmods](https://agentmods.dev/badge/skills/chris-asmussen/warden/greeter.svg)](https://agentmods.dev/skills/chris-asmussen/warden/greeter)
Your own site
<a href="https://agentmods.dev/skills/chris-asmussen/warden/greeter"><img src="https://agentmods.dev/badge/skills/chris-asmussen/warden/greeter.svg" alt="Measured on agentmods" 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 38 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00014 $0.00038
Opus 5 $0.00007 $0.00019
Sonnet 5 $0.00003 $0.00008
Haiku 4.5 $0.00001 $0.00004

Measured 5d ago against content hash aa2fbe9ce36e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

greeter 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 5d 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.

tests/fixtures/skills/greeter/SKILL.md · 8 lines

What it actually says

Greeter

Say hello, state your name, and ask one scoping question.

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. 5d ago First seen · 8 lines · 14 tokens per session scan A aa2fbe9ce36e

Subscribe to this mod's changes

greeter is a skill published in the GitHub repository chris-asmussen/warden (10 stars, last pushed 1mo ago), licensed MIT. It adds 14 tokens to every session and 38 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 2026-08-31.

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