ruby_llm-skills: Instructions file for Claude Code

CLAUDE.md

ruby_llm-skills CLAUDE.md is an instructions file for Claude Code from kieranklaassen/ruby_llm-skills. It costs 961 tokens per session, scanned A, original, MIT.

Project instructions for RubyLLM::Skills, a Ruby package that loads reusable instructions for AI agents progressively as they are needed. It includes setup, testing, linting, console, and release commands.

In plain words
What is it for?
Use it when developing, testing, linting, building, installing, or releasing RubyLLM::Skills.
Why use it?
It gives a coding agent the project context and standard commands needed to change and verify the Ruby package correctly.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is kieranklaassen/ruby_llm-skills's own configuration. It tells Claude Code how to work on ruby_llm-skills itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ruby_llm-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to kieranklaassen/ruby_llm-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/kieranklaassen/ruby_llm-skills/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/kieranklaassen/ruby_llm-skills

Made for: Claude Code.

Wrote this? Show the measurements

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README.md
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<a href="https://agentmods.dev/instructions/kieranklaassen/ruby_llm-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/kieranklaassen/ruby_llm-skills/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 961 This file is loaded in full into every session.
When invoked 961 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00961 $0.00961
Opus 5 $0.00481 $0.00481
Sonnet 5 $0.00192 $0.00192
Haiku 4.5 $0.00096 $0.00096

Measured 8d ago against content hash dab4d96f9daf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

ruby_llm-skills CLAUDE.md 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 8d 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.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

RubyLLM::Skills is a Ruby gem that implements the Agent Skills specification for RubyLLM. It enables progressive disclosure of AI capabilities through a three-level pattern: metadata (~100 tokens), full instructions (SKILL.md), and on-demand resources (scripts, references, assets).

Development Commands

Setup

bin/setup                    # Install dependencies and prepare development environment

Testing

bundle exec rake test        # Run all tests using Minitest
bundle exec rake             # Run default task: tests + linting

Linting

bundle exec rake standard    # Run StandardRB linter
bundle exec standardrb --fix # Auto-fix linting issues

Console

bin/console                  # Start IRB console with gem loaded

Gem Tasks

bundle exec rake build       # Build gem to pkg/
bundle exec rake install     # Build and install gem locally
bundle exec rake release     # Build, tag, and push gem (requires credentials)

Architecture

Module Structure

The gem uses the RubyLLM::Skills namespace (matches the parent ruby_llm gem):

lib/ruby_llm/
├── skills.rb           # Main module entry point
└── skills/
    └── version.rb      # Gem version constant

Key Design Patterns

Progressive Disclosure: Skills load in three stages to minimize context usage:

  1. Metadata (name + description) - loaded at startup, injected into system prompt
  2. Full instructions (SKILL.md) - loaded when LLM determines skill is relevant
  3. Resources (scripts, references, assets) - loaded on demand during execution

Multi-Source Loading: Skills can be loaded from:

  • Filesystem directories (default: app/skills)
  • Zip archives (for distribution)
  • ActiveRecord models (for per-user customization)
  • Multiple sources simultaneously (later sources override earlier ones)

Read the full file on GitHub · 128 lines

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. 8d ago First seen · 128 lines · 961 tokens per session scan A dab4d96f9daf

Subscribe to this mod's changes

ruby_llm-skills CLAUDE.md is an instructions file published in the GitHub repository kieranklaassen/ruby_llm-skills (34 stars, last pushed 5mo ago), licensed MIT. It adds 961 tokens to every session, about $0.0048 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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