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.
npx agentmods add instructions/adham90/ruby_llm-agents/claude-mdgit clone --depth 1 https://github.com/adham90/ruby_llm-agentsWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.04346 | $0.04346 |
| Opus 5 | $0.02173 | $0.02173 |
| Sonnet 5 | $0.00869 | $0.00869 |
| Haiku 4.5 | $0.00435 | $0.00435 |
Grade A, and why
ruby_llm-agents 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 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.
How it starts
The opening of the file, as written. The whole thing — 437 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::Agents is a Rails engine gem for building, managing, and monitoring LLM-powered AI agents. It provides a DSL for agent configuration, a middleware pipeline for execution, automatic tracking with cost analytics, and a mountable dashboard UI.
Requirements: Ruby >= 3.1, Rails >= 7.0, RubyLLM >= 1.16.0
Common Commands
bundle exec rspec # Run full test suite (~3700+ specs)
bundle exec rspec spec/agents/routing_spec.rb # Run a single spec file
bundle exec rspec spec/agents/ -e "parses" # Run specs matching description
bundle exec standardrb # Lint (StandardRB, targets Ruby 3.1)
bundle exec standardrb --fix # Auto-fix lint issues
bundle exec rake # Run both specs and linter (default task)
RUN_INTEGRATION=1 bundle exec rspec # Include integration tests (skipped by default)
Pre-commit hook: A git pre-commit hook runs standardrb --no-fix and blocks commits on lint failures. Fix with bundle exec standardrb --fix before committing.
CI: Runs lint on Ruby 3.4, tests on Ruby 3.2/3.3/3.4.
Core Design Principles
Deep Modules Philosophy
From John Ousterhout's A Philosophy of Software Design: The best modules are deep — they hide significant complexity behind a simple interface.
Module Depth = (Complexity Hidden) / (Interface Exposed)
A deep module has a small public API that hides substantial logic. A shallow module exposes an interface almost as complex as its implementation. Do not create shallow modules.
Decision Framework: When to Create a New Abstraction
Before creating a new class, module, concern, or middleware, answer:
- What complexity does it hide? If "not much" or "it just delegates," don't create it.
- Is the interface simpler than the implementation? If the public API has as many concepts as the internals, it's shallow.
- Does it have a reason to change independently? If it always changes in lockstep with another module, merge them.
- Can I name it with a specific noun/verb? Vague names (
Manager,Handler,Processor,Utils) usually signal shallow design.
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.
- 3d ago First seen · 437 lines · 4,346 tokens per session scan A a1b3138b8188
ruby_llm-agents CLAUDE.md is an instructions file published in the GitHub repository adham90/ruby_llm-agents (136 stars, last pushed 1mo ago), licensed MIT. It adds 4,346 tokens to every session, about $0.0217 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.
Other instructions, from other repositories
worldmonitor AGENTS.md
AGENTS.md instructions for koala73/worldmonitor, covering agents.md, task mode and authority, start here, surface routing and architecture invariants.
openclaw-dashboard CLAUDE.md
Instructions for mudrii/openclaw-dashboard, covering go development standards, project constraints, internal packages, environment and commands.
openclaw-dashboard AGENTS.md
Instructions for mudrii/openclaw-dashboard, covering openclaw dashboard — codex instructions, default behavior, go development standards, project constraints and internal packages.
openclaw-dashboard GEMINI.md
Instructions for mudrii/openclaw-dashboard: This project has a knowledge graph at graphify-out/ with god nodes, community structure, and cross-file relationships.
ccboard CLAUDE.md
Instructions for FlorianBruniaux/ccboard, covering claude.md, project overview, workspace architecture, development commands and build & run.
Monomi CLAUDE.md
Instructions for sumihiro3/Monomi, covering monomi and 開発ワークフロー (release-workflow-template 導入).