Borrowing it
Nothing to install: this file belongs to drujensen/aiagent. 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/drujensen/aiagent/main/CLAUDE.mdgit clone --depth 1 https://github.com/drujensen/aiagentWrote 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/drujensen/aiagent/claude-md)<a href="https://agentmods.dev/instructions/drujensen/aiagent/claude-md"><img src="https://agentmods.dev/badge/instructions/drujensen/aiagent/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/drujensen/aiagent/claude-md"><img src="https://agentmods.dev/badge/instructions/drujensen/aiagent/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 | $0.01051 | $0.01051 |
| Opus 5.5 | $0.00420 | $0.00420 |
| Sonnet 5.5 | $0.00210 | $0.00210 |
| Haiku 4.5 | $0.00105 | $0.00105 |
Grade A, and why
aiagent 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 4d 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 — 100 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.
Commands
# Build
go build .
# Run TUI (default)
go run . [--storage=file|mongo] [--global]
# Run web server
go run . serve [--storage=file|mongo]
# Refresh models from models.dev
go run . refresh
# Test
go test ./...
go test ./... -cover
go test ./... -race
go test ./internal/domain -run TestName # single test
# QA workflow (run after any code changes before committing)
go fmt ./...
go vet ./...
go mod tidy
go build .
go test ./...
# Docker
docker-compose up --build
Architecture
This project is a framework for building and interacting with AI agents. It follows Domain-Driven Design (DDD) with a strict separation between internal/domain/ (business logic) and internal/impl/ (external integrations).
Core Separation
Agent vs. Model: The key design distinction — an Agent defines behavior (system prompt, tools, name), while a Model defines inference (provider, model name, temperature, context window). A Chat links one Agent + one Model and holds the message history. This allows switching models or agents mid-conversation independently.
Package Layout
internal/domain/entities/— core data types:Agent,Model,Chat,Message,Provider,ToolData,Skillinternal/domain/interfaces/— repository and service interfaces (all implementations must satisfy these)internal/domain/services/— business logic:ChatService,AgentService,ModelService,ProviderService,ToolService,SkillService,ModelRefreshServiceinternal/impl/integrations/— AI provider clients;AIModelIntegrationis the base OpenAI-compatible implementation, with provider-specific subclasses for Anthropic, Google, xAI, etc.internal/impl/repositories/json/— file-based storage to.aiagent/storage/(default) or~/.aiagent/storage/(with--global)internal/impl/repositories/mongo/— MongoDB-backed storage; both sets implement identical domain interfacesinternal/impl/tools/— tool implementations:BashTool,FileReadTool,FileWriteTool,WebSearchTool,BrowserTool,VisionTool,CompressionTool,TodoTool, etc.internal/impl/config/— loads~/.aiagent/config.yamlfor API keys and provider settingsinternal/impl/defaults/— seed data for built-in providers, agents, and toolsinternal/tui/— Bubble Tea terminal UIinternal/ui/— Echo web server with embedded static files and WebSocket for real-time updates
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.
- 4d ago First seen · 100 lines · 1,051 tokens per session scan A 1bbcb2b5bf4b
aiagent CLAUDE.md is an instructions file published in the GitHub repository drujensen/aiagent (5 stars, last pushed 2mo ago), licensed MIT. It adds 1,051 tokens to every session, about $0.0042 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 2026-10-03.
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next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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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.
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Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
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AGENTS.md instructions for microsoft/generative-ai-for-beginners, covering agents.md, project overview, setup commands, initial repository setup and clone the repository.