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/el-feo/ai-context/claude-mdgit clone --depth 1 https://github.com/el-feo/ai-contextWrote 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/el-feo/ai-context/claude-md)<a href="https://agentmods.dev/instructions/el-feo/ai-context/claude-md"><img src="https://agentmods.dev/badge/instructions/el-feo/ai-context/claude-md.svg" alt="Measured on agentmods" 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 | $0.00782 | $0.00782 |
| Opus 5 | $0.00391 | $0.00391 |
| Sonnet 5 | $0.00156 | $0.00156 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
ai-context 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 5d 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 — 85 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 when working with code in this repository.
Repository Purpose
AI Context is a collection of Claude Code plugins designed to enhance developer productivity when working with LLMs. The plugins can be installed into other projects to provide standardized AI interaction patterns.
Repository Structure
ai-context/
├── plugins/
│ ├── ruby-rails/ # Ruby/Rails development (13 skills, 3 commands, 1 agent)
│ ├── ghpm/ # GitHub Project Management (10 commands, 1 agent)
│ ├── js-ts/ # JavaScript/TypeScript (3 skills, 1 command)
│ ├── devops/ # DevOps & infrastructure (3 skills, 1 command)
│ ├── general/ # General utilities (1 skill)
│ ├── sandi/ # Sandi Metz OO design advisor (1 skill, 2 commands, 1 workflow template)
│ └── fowler/ # Martin Fowler refactoring advisor (1 skill, 2 commands, 1 workflow template)
└── tools/ # Helper scripts
Plugin Structure
Each plugin follows this structure:
plugins/<name>/
├── README.md
├── .claude-plugin/
│ └── plugin.json # Plugin manifest
├── skills/ # SKILL.md files with references/
├── commands/ # Slash command definitions
├── agents/ # Agent configurations
└── templates/ # Installable file templates (e.g. GitHub workflows)
Key Plugins
ruby-rails
Ruby on Rails development toolkit with skills for Rails, Ruby, RSpec, code quality tools, and Sandi Metz principles.
ghpm
GitHub Project Management workflow:
/ghpm:create-prd- Create product requirements document/ghpm:create-epics- Break PRD into epics/ghpm:create-tasks- Break epics into tasks/ghpm:tdd-task- Execute task using TDD
js-ts
JavaScript/TypeScript toolkit with ESLint, Vitest, and unit testing skills.
devops
DevOps toolkit with GitHub Actions, Kamal deployment, and Tailscale skills.
sandi
Object-oriented design advisor channeling Sandi Metz's philosophy (POODR, 99 Bottles of OOP). The /sandi command auto-detects whether you want planning, code review, refactoring, or design advice. Language-agnostic. /sandi:install-review installs a GitHub Actions workflow (from templates/sandi-review.yml) that runs a Sandi review on every PR via claude-code-action.
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.
- 5d ago First seen · 85 lines · 782 tokens per session scan A dd91a9488079
ai-context CLAUDE.md is an instructions file published in the GitHub repository el-feo/ai-context (12 stars, last pushed 1mo ago), licensed MIT. It adds 782 tokens to every session, about $0.0039 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
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.