Borrowing it
Nothing to install: this file belongs to adham90/ruby_llm-agents. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/adham90/ruby_llm-agents/main/CLAUDE.mdgit clone --depth 1 https://github.com/adham90/ruby_llm-agentsWrote 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.
[](https://agentmods.dev/instructions/adham90/ruby_llm-agents/claude-md)<a href="https://agentmods.dev/instructions/adham90/ruby_llm-agents/claude-md"><img src="https://agentmods.dev/badge/instructions/adham90/ruby_llm-agents/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/adham90/ruby_llm-agents/claude-md"><img src="https://agentmods.dev/badge/instructions/adham90/ruby_llm-agents/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.04346 | $0.04346 |
| Opus 5.5 | $0.01738 | $0.01738 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (138 stars, last pushed 28d ago), licensed MIT. It adds 4,346 tokens to every session, about $0.0174 per session on Opus 5.5. 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.
ruby_llm-agents CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| ruby_llm-agents CLAUDE.mdadham90/ruby_llm-agents | Instructions file | 138 | 28d ago | MIT | A | 4,346 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
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| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |