adapt

adapt is a command for coding agents from kvivek0591/claude-code-skills. It costs 0 tokens per session (2,430 once invoked), scanned A, original, no licence file.

A slice-conversion agent for CogniSwitch that changes hardcoded React or Next.js pages into Prismic CMS slices. Prismic slices are editable content sections used by a site's SliceZone layout.

In plain words
What is it for?
Use it to convert React or Next.js pages into Prismic slices compatible with the production SliceZone.
Why use it?
It turns page code from exports or generated output into content sections that fit the production CMS architecture.

Command

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/kvivek0591/claude-code-skills/adapt
Clone the repo
git clone --depth 1 https://github.com/kvivek0591/claude-code-skills

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/kvivek0591/claude-code-skills/adapt.svg)](https://agentmods.dev/commands/kvivek0591/claude-code-skills/adapt)
Your own site
<a href="https://agentmods.dev/commands/kvivek0591/claude-code-skills/adapt"><img src="https://agentmods.dev/badge/commands/kvivek0591/claude-code-skills/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 2,430 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 $0.02430
Opus 5 $0.00000 $0.01215
Sonnet 5 $0.00000 $0.00486
Haiku 4.5 $0.00000 $0.00243

Measured 4d ago against content hash 912dfb0cbbf7, 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.

commands/adapt.md · 237 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 · 237 lines · 0 tokens per session scan A 912dfb0cbbf7

Subscribe to this mod's changes

adapt is a command published in the GitHub repository kvivek0591/claude-code-skills (2 stars, last pushed 2mo ago), with no licence file. It costs nothing until one of its globs matches a file; then it loads 2,430 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 2026-08-31.

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