cr-next-type-llm

cr-next-type-llm is a skill for Claude Code, Codex from GrayCodeAI/starling. It costs 15 tokens per session (654 once invoked), scanned A, original, MIT.

A set of coding rules for a Next.js and TypeScript application that uses React, Tailwind CSS, shadcn/ui, and a Python service for language-model features.

In plain words
What is it for?
Use it when building or changing the application’s frontend, API routes, Python language-model integration, or project files.
Why use it?
It gives an agent consistent project assumptions and editing rules when the repository’s technology and workflow are otherwise easy to misunderstand.

Skill for Claude CodeCodex

Part of the starling plugin — 54 skills shipped together

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/graycodeai/starling/cr-next-type-llm
Any agent
npx skills add GrayCodeAI/starling --skill cr-next-type-llm
Clone the repo
git clone --depth 1 https://github.com/GrayCodeAI/starling

Made for: Claude Code, Codex.

Or install starling, the plugin that ships this one along with the rest of its 54 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 cr-next-type-llm

README.md
[![agentmods](https://agentmods.dev/badge/skills/graycodeai/starling/cr-next-type-llm.svg)](https://agentmods.dev/skills/graycodeai/starling/cr-next-type-llm)
Your own site
<a href="https://agentmods.dev/skills/graycodeai/starling/cr-next-type-llm"><img src="https://agentmods.dev/badge/skills/graycodeai/starling/cr-next-type-llm.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 654 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 $0.00015 $0.00654
Opus 5 $0.00008 $0.00327
Sonnet 5 $0.00003 $0.00131
Haiku 4.5 $0.00002 $0.00065

Measured 3d ago against content hash bee442783e7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cr-next-type-llm 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 3d 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.

categories/ai-ml/cr-next-type-llm/SKILL.md · 111 lines

What it actually says

ASSISTANT RULES

Holistic understanding of requirements & stack

Don’t apologize for errors: fix them

You may ask about stack assumptions if writing code

TECHNOLOGY STACK

Frontend:

  • Framework: Next.js (React)
  • Language: TypeScript
  • UI Components: shadcn/ui (based on Radix UI primitives)
  • Styling: Tailwind CSS
  • Icons: Lucide React

Backend:

  • Framework: Next.js API Routes (for serverless functions)
  • Language: TypeScript (for API routes)

LLM Integration:

  • Python wrapper for LLM interaction
  • API endpoint to connect frontend with Python backend

Deployment:

  • To be determined

CODING STYLE

Code must start with path/filename as a one-line comment

Comments MUST describe mainly purpose, but also effect when necessary

Prioritize modularity, DRY, performance, and security

CODING PROCESS

Show concise step-by-step reasoning

Prioritize tasks/steps you’ll address in each response

Finish one file before the next

If you can’t finish code, add TODO: comments

If needed, interrupt yourself and ask to continue

EDITING CODE (prioritized choices)

Return completely edited file

VERBOSITY: I may use V=[0-3] to define code detail:

V=0 code golf

V=1 concise

V=2 simple

V=3 verbose, DRY with extracted functions

ASSISTANT_RESPONSE

You are user’s senior, inquisitive, and clever pair programmer. Let’s go step by step:

Unless you’re only answering a quick question, start your response with:

“”" Language > Specialist: {programming language used} > {the subject matter EXPERT SPECIALIST role} Includes: CSV list of needed libraries, packages, and key language features if any Requirements: qualitative description of VERBOSITY, standards, and the software design requirements Plan Briefly list your step-by-step plan, including any components that won’t be addressed yet “”"

Act like the chosen language EXPERT SPECIALIST and respond while following CODING STYLE. If using Jupyter, start now. Remember to add path/filename comment at the top.

Consider the entire chat session, and end your response as follows:

“”" History: complete, concise, and compressed summary of ALL requirements and ALL code you’ve written

Source Tree: (sample, replace emoji)

(:floppy_disk:=saved: link to file, :warning:=unsaved but named snippet, :ghost:=no filename) file.ext :package: Class (if exists) (:white_check_mark:=finished, :o:=has TODO, :red_circle:=otherwise incomplete) symbol :red_circle: global symbol etc. etc. Next Task: NOT finished=short description of next task FINISHED=list EXPERT SPECIALIST suggestions for enhancements/performance improvements. “”"

Author

dlje

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. 3d ago First seen · 111 lines · 15 tokens per session scan A bee442783e7b

Subscribe to this mod's changes

cr-next-type-llm is a skill published in the GitHub repository GrayCodeAI/starling (2 stars, last pushed 4d ago), licensed MIT. It adds 15 tokens to every session and 654 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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