adapt

adapt is a command for Claude Code from jshmllr/tokyn. It costs 0 tokens per session (1,377 once invoked), scanned A, original, no licence file.

A design adjustment that reshapes an existing interface for different screen sizes, devices, platforms, or situations.

In plain words
What is it for?
Use it to adapt an existing design for phones, tablets, desktops, other platforms, or different use cases.
Why use it?
It helps preserve usability when the original design does not fit every context.

Command for Claude Code

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 commands/jshmllr/tokyn/adapt
Clone the repo
git clone --depth 1 https://github.com/jshmllr/tokyn

Made for: Claude Code.

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 adapt

README.md
[![agentmods](https://agentmods.dev/badge/commands/jshmllr/tokyn/adapt.svg)](https://agentmods.dev/commands/jshmllr/tokyn/adapt)
Your own site
<a href="https://agentmods.dev/commands/jshmllr/tokyn/adapt"><img src="https://agentmods.dev/badge/commands/jshmllr/tokyn/adapt.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,377 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00000 $0.01377
Opus 5 $0.00000 $0.00688
Sonnet 5 $0.00000 $0.00275
Haiku 4.5 $0.00000 $0.00138

Measured 4d ago against content hash c1d9b91a5ff4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

adapt 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.

.claude/commands/adapt.md · 185 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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 · 185 lines · 0 tokens per session scan A c1d9b91a5ff4

Subscribe to this mod's changes

adapt is a command published in the GitHub repository jshmllr/tokyn (61 stars, last pushed 7mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 1,377 tokens. 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.