hello-skill-inline

hello-skill-inline is a skill for Claude Code, Codex from Peiiii/skild. It costs 17 tokens per session (54 once invoked), scanned A, original, MIT.

A minimal bundled skill used to test whether a skill can be included as an inline dependency.

In plain words
What is it for?
Use it for testing skill bundling and discovery.
Why use it?
It helps verify that a skillset can package and discover a skill defined inside it.

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/peiiii/skild/hello-skill-inline
Any agent
npx skills add Peiiii/skild --skill hello-skill-inline
Clone the repo
git clone --depth 1 https://github.com/Peiiii/skild

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 hello-skill-inline

README.md
[![agentmods](https://agentmods.dev/badge/skills/peiiii/skild/hello-skill-inline.svg)](https://agentmods.dev/skills/peiiii/skild/hello-skill-inline)
Your own site
<a href="https://agentmods.dev/skills/peiiii/skild/hello-skill-inline"><img src="https://agentmods.dev/badge/skills/peiiii/skild/hello-skill-inline.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 54 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 $0.00017 $0.00054
Opus 5 $0.00009 $0.00027
Sonnet 5 $0.00003 $0.00011
Haiku 4.5 $0.00002 $0.00005

Measured 4d ago against content hash eaa39a35cb12, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

hello-skill-inline 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 4d 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.

examples/hello-skillset/skills/hello-skill-inline/SKILL.md · 11 lines

What it actually says

hello-skill-inline

This Skill is bundled by hello-skillset as an inline dependency.

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. 4d ago First seen · 11 lines · 17 tokens per session scan A eaa39a35cb12

Subscribe to this mod's changes

hello-skill-inline is a skill published in the GitHub repository Peiiii/skild (113 stars, last pushed 6mo ago), licensed MIT. It adds 17 tokens to every session and 54 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 2026-08-30.

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