dot: Instructions file for Codex

AGENTS.md

dot AGENTS.md is an instructions file for Codex, OpenCode from fmind/dot. It costs 1,739 tokens per session, scanned A, original, MIT.

A set of working rules for coding agents inside the fmind/dot repository, a configuration repository for Linux and Mac computers. It explains where to edit files, which checks to run, and how GitHub and secrets should be handled.

In plain words
What is it for?
Use it when making, checking, documenting, or pushing changes in the repository, especially changes involving Chezmoi, mise, GitHub, or Markdown.
Why use it?
It keeps agent changes consistent with the repository’s conventions and helps avoid editing deployed files, exposing secrets, or finishing with failing checks.

Instructions file for CodexOpenCode

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

This is fmind/dot's own configuration. It tells Codex and OpenCode how to work on dot 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 dot configures →

Reuse

Borrowing it

Nothing to install: this file belongs to fmind/dot. 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/fmind/dot/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/fmind/dot

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 dot AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/fmind/dot/agents-md/github.svg)](https://agentmods.dev/instructions/fmind/dot/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/fmind/dot/agents-md"><img src="https://agentmods.dev/badge/instructions/fmind/dot/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.

agentmods 80×15 button for dot AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/fmind/dot/agents-md"><img src="https://agentmods.dev/badge/instructions/fmind/dot/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,739 This file is loaded in full into every session.
When invoked 1,739 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 $0.01739 $0.01739
Opus 5.5 $0.00696 $0.00696
Sonnet 5.5 $0.00348 $0.00348
Haiku 4.5 $0.00174 $0.00174

Measured 3d ago against content hash 17be8f160564, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dot 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 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.

AGENTS.md · 50 lines

How it starts

The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md (Project)

This is fmind/dot — chezmoi + mise dotfiles for AI-CLI-first, Python-first development on Linux and macOS. Setup, usage, and common tasks live in README.md.

House rules

  • Edit chezmoi sources, never deployed copies: change this repository, not files under $HOME; automation always runs chezmoi apply --force. Naming, templates, and secrets: chezmoi skill.
  • Match validation to the task: read-only reviews need only evidence checks; documentation and instruction edits need relevant formatting, links, and contract checks; behavior changes need focused regression tests and affected static checks. Run mise run all for cross-cutting changes, dependencies, packaging, releases, or explicit full qualification. Reuse passing results while relevant inputs remain unchanged.
  • Never commit decrypted secrets: *.age files are encrypted; never store or commit decrypted secrets in the source tree. Native credentials are create-only seeds; scoped keys use dot secret run. Preserve account overrides and keep values out of diff/log output; Secret Management owns setup.
  • Never use sudo: stay user-space; install via mise.
  • Choose global tools for agent coding: the global mise config (dot_config/mise/config.toml) serves AI-agent coding: agent harnesses, external-service connectors, and cross-project CLIs that agents run. Keep human tools few and mostly for review (LazyVim, lazygit, Docker) plus the owner's shell picks. Pin every other tool in the project that needs it. Keep a project tool global only when it must work outside projects, such as the formatters and linters LazyVim runs on any file, and say why in its comment; a global copy never replaces the project's pin.
  • Lock tools with mise, never edit generated locks: use mise lockfile revision 3 for reproducible tool installs. Keep the global lockfile and its referenced native dependency files together; do not edit or format generated files. mise run lock resolves the portable source baseline in isolation and captures its complete bundle; mise run full installs with --locked. Python application dependencies remain locked in dot/uv.lock.
  • Keep README for users; workflows go in skills: keep setup, auth, everyday usage, and a short task reference in README.md; keep detailed contributor workflows in skills.
  • Pin themes to fmind/theme: fmind/theme owns the palette, native app files, and the DESIGN.md deployed to ~/.agents/DESIGN.md. Fetch standalone themes via chezmoi externals pinned to one upstream commit with SHA-256 checksums (mise run upgrade advances the pin); when tools require merged styles, copy only the native theme block with an upstream source comment. Terminal tools follow the Ghostty ANSI palette or select terminal-aligned themes.
  • Inherit terminal fonts from Ghostty: terminal apps inherit GoogleSansCode Nerd Font Mono from Ghostty.
  • Enable Vim mode in every TUI that supports it.

Read the full file on GitHub · 50 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. 3d ago Changed · +1 lines · +123 tokens per session 17be8f160564
  2. 4d ago Changed · +6 tokens per session 2bd494f84853
  3. 7d ago Changed · -20 tokens per session f7f0504b8d5f
  4. 10d ago Changed · +8 tokens per session 4fdb300aeb42
  5. 16d ago Changed · +4 tokens per session 1e740f7e7f9f
  6. 18d ago Changed · +18 tokens per session be1a2d5dc4a3
  7. 21d ago Changed · -1 lines · -123 tokens per session 5ce0a82c7dd4
  8. 23d ago Changed · -4 lines · -274 tokens per session a90145d6d10c
  9. 24d ago Changed · +49 tokens per session 6aa72687e41c
  10. 26d ago First seen · 54 lines · 1,948 tokens per session scan A e7a0c6cefe55

Subscribe to this mod's changes

dot AGENTS.md is an instructions file published in the GitHub repository fmind/dot (12 stars, last pushed yesterday), licensed MIT. It adds 1,739 tokens to every session, about $0.0070 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 2026-09-03.

Related

Other instructions, from other repositories

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 · 9,715 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 · 7,461 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, cache eligibility and rollout and applying the notice (cutover).

microsoft/vscode · 5,262 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 · 4,680 tokens

vscode copilot-instructions.md

Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).

microsoft/vscode · 2,731 tokens

deepseek-harness AGENTS.md

AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.

deepseek-ai/deepseek-harness · 4,261 tokens