minimal

minimal is a skill for Claude Code, Codex from canyonroad/agentsh. It costs 6 tokens per session (21 once invoked), scanned A, original, Apache-2.0.

A minimal skill definition with no described behavior.

In plain words
What is it for?
Its concrete purpose cannot be determined from the provided description.
Why use it?
The available information does not identify a problem it removes.

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/canyonroad/agentsh/minimal
Any agent
npx skills add canyonroad/agentsh --skill minimal
Clone the repo
git clone --depth 1 https://github.com/canyonroad/agentsh

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 minimal

README.md
[![agentmods](https://agentmods.dev/badge/skills/canyonroad/agentsh/minimal.svg)](https://agentmods.dev/skills/canyonroad/agentsh/minimal)
Your own site
<a href="https://agentmods.dev/skills/canyonroad/agentsh/minimal"><img src="https://agentmods.dev/badge/skills/canyonroad/agentsh/minimal.svg" alt="Measured on agentmods" height="20"></a>
Per session 6 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 21 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 5.1 $0.00006 $0.00021
Opus 5 $0.00003 $0.00010
Sonnet 5 $0.00001 $0.00004
Haiku 4.5 $0.00001 $0.00002

Measured 5d ago against content hash 224359bccf06, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

minimal 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

  • minimal — 100% identical, 0 lines differ
internal/skillcheck/testdata/skills/minimal/SKILL.md · 9 lines

What it actually says

Minimal

This skill does nothing.

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 · 9 lines · 6 tokens per session scan A 224359bccf06

Subscribe to this mod's changes

minimal is a skill published in the GitHub repository canyonroad/agentsh (382 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 6 tokens to every session and 21 once invoked, about $0.0000 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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