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/serialx/vibecore/claude-mdgit clone --depth 1 https://github.com/serialx/vibecoreWhat 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 | $0.07664 | $0.07664 |
| Opus 5 | $0.03832 | $0.03832 |
| Sonnet 5 | $0.01533 | $0.01533 |
| Haiku 4.5 | $0.00766 | $0.00766 |
Grade A, and why
vibecore 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 — 819 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
vibecore is a Do-it-yourself Agent Framework that transforms your terminal into a powerful AI workspace. More than just a chat interface, it's a complete platform for building and orchestrating custom AI agents that can manipulate files, execute code, run shell commands, and manage complex workflows—all from the comfort of your terminal.
Built on Textual and the OpenAI Agents SDK, vibecore provides the foundation for creating your own AI-powered automation tools. Whether you're automating development workflows, building custom AI assistants, or experimenting with agent-based systems, vibecore gives you the building blocks to craft exactly what you need.
⭐ KEY DIFFERENTIATOR - Flow Mode: The core innovation of vibecore is Flow Mode - a system that enables building structured agent-based applications with programmatic conversation control. This transforms vibecore from a chat interface into a framework for creating sophisticated multi-agent applications with minimal code changes from the OpenAI Agents SDK examples.
Key Features
- Flow Mode (Experimental) - Build structured agent-based applications with programmatic conversation control
- AI-Powered Chat Interface - Interact with state-of-the-art language models through an intuitive terminal interface
- Rich Tool Integration - Built-in tools for file operations, shell commands, Python execution, and task management
- Beautiful Terminal UI - Modern, responsive interface with dark/light theme support
- Real-time Streaming - See AI responses as they're generated with smooth streaming updates
- Extensible Architecture - Easy to add new tools and capabilities
- High Performance - Async-first design for responsive interactions
- Context Management - Maintains state across tool executions for coherent workflows
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 · 819 lines · 7,664 tokens per session scan A 726ef2261b60
vibecore CLAUDE.md is an instructions file published in the GitHub repository serialx/vibecore (23 stars, last pushed 8mo ago), licensed MIT. It adds 7,664 tokens to every session, about $0.0383 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
mini-swe-agent AGENTS.md
AGENTS.md instructions for SWE-agent/mini-swe-agent, covering mini-swe-agent overview, style guide, bad, good and test style.
mini-swe-agent copilot-instructions.md
Copilot instructions for SWE-agent/mini-swe-agent, covering style guide, test style, bad and good.
tact AGENTS.md
Instructions for clabby/tact, covering working agreements, common dev commands, code, secrets and documentation.
aegis AGENTS.md
Instructions for apiad/aegis, covering agents, running, know-how, package management and layout.
q-code AGENTS.md
Instructions for v833/q-code, covering q-code 项目协作说明, 项目概览, 环境与工具, 常用命令 and cli 子命令.
mini-swe-agent CLAUDE.md
Claude Code instructions for SWE-agent/mini-swe-agent, a project described as: The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!