SarvTerminal: Instructions file for Codex

AGENTS.md

SarvTerminal AGENTS.md is an instructions file for Codex, OpenCode from Sarv/SarvTerminal. It costs 836 tokens per session, scanned A, original, MIT.

Project-specific instructions for coding agents working on SarvTerminal, a terminal application with Zig, Swift, and Linux/GTK parts. They document commands, directories, testing, formatting, and the Linux port roadmap.

In plain words
What is it for?
Use them to navigate the repository, run targeted Zig tests, format code, build the libghostty-vt component, and work on the Linux/GTK port.
Why use it?
They reduce mistakes by telling an agent how to build and test the project and which rules apply to shared code and platform-specific changes.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md.

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

Reuse

Borrowing it

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

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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Per session 836 This file is loaded in full into every session.
When invoked 836 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 $0.00836 $0.00836
Opus 5.5 $0.00334 $0.00334
Sonnet 5.5 $0.00167 $0.00167
Haiku 4.5 $0.00084 $0.00084

Measured 1mo ago against content hash d64e93de3e20, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

SarvTerminal 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 1mo 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 · 68 lines

How it starts

The opening of the file, as written. The whole thing — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Development Guide

A file for guiding coding agents.

Commands

  • Build: zig build
    • If you're on macOS and don't need to build the macOS app, use -Demit-macos-app=false to skip building the app bundle and speed up compilation.
  • Test (Zig): zig build test
    • Prefer to run targeted tests with -Dtest-filter because the full test suite is slow to run.
  • Test filter (Zig): zig build test -Dtest-filter=<test name>
  • Formatting (Zig): zig fmt .
  • Formatting (Swift): swiftlint lint --strict --fix
  • Formatting (other): prettier -w .

libghostty-vt

  • Build: zig build -Demit-lib-vt
  • Build WASM: zig build -Demit-lib-vt -Dtarget=wasm32-freestanding -Doptimize=ReleaseSmall
  • Test: zig build test-lib-vt -Dtest-filter=<filter>
    • Prefer this when the change is in a libghostty-vt file
  • All C enums in include/ghostty/vt/ must have a _MAX_VALUE = GHOSTTY_ENUM_MAX_VALUE sentinel as the last entry to force int enum sizing (pre-C23 portability).

Directory Structure

  • Shared Zig core: src/
  • macOS app: macos/
  • GTK (Linux and FreeBSD) app: src/apprt/gtk

Linux/GTK Port Roadmap (LINUX-ROADMAP.md)

  • LINUX-ROADMAP.md (repo root) is the single hand-off file for porting our macOS Vaults behavior to the Linux/GTK app (src/apprt/gtk). It captures, per change: the symptom, the root-cause reasoning, the platform-agnostic logic/algorithm, the macOS→GTK equivalents (which AppKit/Swift/libproc/ARC bits map to which GTK/Zig mechanism), and how to verify on Linux. The goal: a future AI agent can read only this file and reproduce the exact same behavior on Linux.
  • Process rule — update it at COMMIT time, not per edit. Whenever you commit a change under macos/, add (in the same commit) a matching entry to LINUX-ROADMAP.md. We record at commit time because a commit lands only after multiple iterations of testing/fixing once the code actually runs correctly — so the entry captures the final, working logic, not the intermediate churn.
  • Keep one section per logical change, mirroring the commit. Preserve the subsection shape already in the file (Symptom / Root cause & reasoning / platform-agnostic logic / macOS→Linux equivalents / How to verify on Linux).

Read the full file on GitHub · 68 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. 1mo ago First seen · 68 lines · 836 tokens per session scan A d64e93de3e20

Subscribe to this mod's changes

SarvTerminal AGENTS.md is an instructions file published in the GitHub repository Sarv/SarvTerminal (67 stars, last pushed 1mo ago), licensed MIT. It adds 836 tokens to every session, about $0.0033 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 2026-08-30.

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