agentic-workstation: Instructions file for Codex

AGENTS.md

agentic-workstation AGENTS.md is an instructions file for Codex, OpenCode from ulises-jeremias/agentic-workstation. It costs 1,506 tokens per session, scanned A, original, MIT.

Guidelines for an AI-agent workstation setup based on chezmoi, a tool for managing configuration files across machines. The setup provisions host tools, while a separate toolkit provides reusable agent skills and workflows.

In plain words
What is it for?
Configuring development workstations, installing tools and agent skills, applying configuration files, and following the repository's required documentation and naming conventions.
Why use it?
It separates machine setup from agent orchestration and tells agents where to look for project instructions and how the components are intended to work together.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: reads .claude/ paths; mentions AGENTS.md; mentions OpenCode.

This is ulises-jeremias/agentic-workstation's own configuration. It tells Codex and OpenCode how to work on agentic-workstation 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 agentic-workstation configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ulises-jeremias/agentic-workstation. 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/ulises-jeremias/agentic-workstation/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/ulises-jeremias/agentic-workstation

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.

agentmods badge for agentic-workstation AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/ulises-jeremias/agentic-workstation/agents-md.svg)](https://agentmods.dev/instructions/ulises-jeremias/agentic-workstation/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/ulises-jeremias/agentic-workstation/agents-md"><img src="https://agentmods.dev/badge/instructions/ulises-jeremias/agentic-workstation/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,506 This file is loaded in full into every session.
When invoked 1,506 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 $0.01506 $0.01506
Opus 5 $0.00753 $0.00753
Sonnet 5 $0.00301 $0.00301
Haiku 4.5 $0.00151 $0.00151

Measured 7d ago against content hash 41eb8345d200, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

agentic-workstation 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 7d 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 · 109 lines

How it starts

The opening of the file, as written. The whole thing — 109 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Agent Guidelines for agentic-workstation

For AI coding assistants and automation agents. Last Updated: 2026-03-16

Purpose

This repository provides a reusable chezmoi-based agentic-workstation baseline for agentic-workstation.

agentic-workstation's role is thin-host machine provisioning: chezmoi, shell tools, packages, LLM policy, tmux/Herdr, and Toolkit installation (via dots-skills install-toolkit). Workstation installs tools, Toolkit owns orchestration (swarm recipes, loops, generic queue). Skills, agent personas, and profiles are distributed by agent-toolkit — a separate repository installed automatically during chezmoi apply. dots-skills delegates to agent-toolkit for skill sync; dots-loop wraps agent-toolkit loop; dots-devcompanion runner + policy stays host-specific in Workstation (LLM policy, env.d), while agent-toolkit devcompanion owns generic queue behavior.

The bundled agentic-workstation-assistant skill is the agentic-workstation Assistant: use it in any repository (including client work), not only this checkout. It instructs agents to inspect project documentation in a fixed order (README → docs/AGENTS.md → CONTRIBUTING → PR templates → official scripts → devcontainer → CI → configs → code), to cite sources, and to treat AGENTS.md as the primary agent contract when present. On this repo it also uses docs/ and dots-*; elsewhere it still applies the same repo-inspection model plus machine-local agentic-workstation tooling when relevant.

Core Principles

  1. Keep the baseline simple and extensible.
  2. Never commit secrets, tokens, or private credentials.
  3. Prefer profile-driven configuration over host-specific logic.
  4. Keep scripts idempotent and safe to re-run.
  5. Treat documentation as part of the product.

Script Standards

All shell scripts must:

  • use set -eo pipefail
  • avoid destructive behavior by default
  • detect OS before package manager operations
  • skip already-installed tools
  • print clear human-readable error messages

Read the full file on GitHub · 109 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. 7d ago First seen · 109 lines · 1,506 tokens per session scan A 41eb8345d200

Subscribe to this mod's changes

agentic-workstation AGENTS.md is an instructions file published in the GitHub repository ulises-jeremias/agentic-workstation (2 stars, last pushed 4d ago), licensed MIT. It adds 1,506 tokens to every session, about $0.0075 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.

Related

Other instructions, from other repositories

multiagent-template copilot-instructions.md

Instructions for Neftedollar/multiagent-template, covering workspace structure, how to work in this repo, multi-agent pipeline, orchestrator role and escalate to human only for.

Neftedollar/multiagent-template · 744 tokens

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.

openai/codex · 5,182 tokens

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).

microsoft/vscode · 6,785 tokens

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.

vercel/next.js · 7,296 tokens

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.

langchain-ai/langchain · 4,469 tokens

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).

microsoft/vscode · 5,001 tokens