agents: Instructions file for Codex

AGENTS.md

agents AGENTS.md is an instructions file for Codex, OpenCode from Shonei/agents. It costs 1,002 tokens per session, scanned A, original, MIT.

Repository instructions for agents, a command-line tool for running specialized AI agents locally. The project includes a Go command-line program and a web page for reviewing conversation records.

In plain words
What is it for?
Use them when working on agent management, tool execution, file search, conversation logging, the Go command-line program, or the audit viewer.
Why use it?
They explain the project structure, technologies, and development expectations so coding agents can make changes in the correct component.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions AGENTS.md.

This is Shonei/agents's own configuration. It tells Codex and OpenCode how to work on agents itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agents configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Shonei/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.

Copy the file
curl -O https://raw.githubusercontent.com/Shonei/agents/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Shonei/agents

Made for: Codex, OpenCode.

Wrote 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.

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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.

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Per session 1,002 This file is loaded in full into every session.
When invoked 1,002 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01002 $0.01002
Opus 5.5 $0.00401 $0.00401
Sonnet 5.5 $0.00200 $0.00200
Haiku 4.5 $0.00100 $0.00100

Measured 2mo ago against content hash 658d47d859d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agents AGENTS.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.

AGENTS.md · 84 lines

How it starts

The opening of the file, as written. The whole thing — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agent Instructions (AGENTS.md)

Welcome to the agents repository! This file provides context, architectural guidelines, and development workflows for AI coding assistants (like Cursor, Copilot, or Claude Code) working on this codebase.

Project Overview

agents is a command-line tool for managing and interacting with AI agents locally. It supports creating specialized agents with specific system prompts, models, and tools. It also features Retrieval-Augmented Generation (RAG) capabilities using local files and an Audit Logging system to track agent conversations.

The project consists of two main components:

  1. Go CLI: The core application, handling agent logic, tool execution, RAG indexing, and CLI interactions.
  2. Audit Viewer: A lightweight web application to visualize and review conversation logs stored in DuckDB.

Tech Stack

Backend (CLI)

  • Language: Go (1.25+)
  • CLI Framework: Cobra (github.com/spf13/cobra)
  • Database: DuckDB (github.com/duckdb/duckdb-go/v2) used for both RAG vector storage and Audit logging.
  • Markdown Rendering: Glamour (github.com/charmbracelet/glamour)

Frontend (Audit Viewer)

  • Runtime/Package Manager: Bun
  • Framework: React 18 with TypeScript
  • Database Driver: DuckDB (WASM/Node bindings)

Repository Structure

  • cmd/: Cobra CLI commands (e.g., add.go, engage.go, rag.go).
  • pkg/: Core application logic.
    • pkg/sdk/: The core agent SDK, handling interactions with the LLM (Gemini) and tool execution.
    • pkg/storage/: Database interactions (DuckDB) for RAG and Audit logs.
    • pkg/config/: Configuration parsing and management.
    • pkg/utils/: Helper functions.
  • audit-viewer/: The React/Bun web application for viewing audit logs.
  • examples/: Example configurations (e.g., PR reviewer agent).
  • docs/: Additional documentation.

Development Workflow

Go CLI

The project uses a Makefile for common tasks. Always ensure your code passes these checks before considering a task complete.

Read the full file on GitHub · 84 lines

Changes

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.

  1. 2mo ago First seen · 84 lines · 1,002 tokens per session scan A 658d47d859d8

Subscribe to this mod's changes

agents AGENTS.md is an instructions file published in the GitHub repository Shonei/agents (2 stars, last pushed 3mo ago), licensed MIT. It adds 1,002 tokens to every session, about $0.0040 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 2026-08-31.

Related

agents AGENTS.md compared with instructions from other repositories

agents AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
agents AGENTS.mdShonei/agentsInstructions file23mo agoMITA1,002Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode