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/shonei/agents/agents-mdgit clone --depth 1 https://github.com/Shonei/agentsWhat 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 | $0.01002 | $0.01002 |
| Opus 5 | $0.00501 | $0.00501 |
| Sonnet 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 yesterday.
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.
- yesterday 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 27d ago), licensed MIT. It adds 1,002 tokens to every session, about $0.0050 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 2026-08-31.
Other instructions, from other repositories
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 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).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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).
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.
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.