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.
curl -O https://raw.githubusercontent.com/Shonei/agents/main/AGENTS.mdgit clone --depth 1 https://github.com/Shonei/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/shonei/agents/agents-md)<a href="https://agentmods.dev/instructions/shonei/agents/agents-md"><img src="https://agentmods.dev/badge/instructions/shonei/agents/agents-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/shonei/agents/agents-md"><img src="https://agentmods.dev/badge/instructions/shonei/agents/agents-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 | $0.01002 | $0.01002 |
| Opus 5.5 | $0.00401 | $0.00401 |
| Sonnet 5.5 | $0.00200 | $0.00200 |
| Haiku 4.5 | $0.00100 | $0.00100 |
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.
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:
- Go CLI: The core application, handling agent logic, tool execution, RAG indexing, and CLI interactions.
- 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.
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 · 84 lines · 1,002 tokens per session scan A 658d47d859d8
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.
agents AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agents AGENTS.mdShonei/agents | Instructions file | 2 | 3mo ago | MIT | A | 1,002 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| 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 |