Planchette AGENTS.md

Planchette AGENTS.md is an instructions file for Codex, OpenCode from marcello-a/Planchette. It costs 2,650 tokens per session, scanned A, original, MIT.

Contributor instructions for Planchette, a native macOS terminal IDE for running multiple AI coding-agent sessions and organizing them by project.

In plain words
What is it for?
Use them when changing Planchette's macOS app, terminal layouts, session status, updater, localization, or AI summaries.
Why use it?
They document important boundaries, such as avoiding new dependencies, keeping the pinned Ghostty engine, and localizing user-facing text.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/marcello-a/planchette/agents-md
Clone the repo
git clone --depth 1 https://github.com/marcello-a/Planchette

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 Planchette AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/marcello-a/planchette/agents-md.svg)](https://agentmods.dev/instructions/marcello-a/planchette/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/marcello-a/planchette/agents-md"><img src="https://agentmods.dev/badge/instructions/marcello-a/planchette/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,650 This file is loaded in full into every session.
When invoked 2,650 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.02650 $0.02650
Opus 5 $0.01325 $0.01325
Sonnet 5 $0.00530 $0.00530
Haiku 4.5 $0.00265 $0.00265

Measured 4d ago against content hash 0256d9d540cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Planchette 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 4d 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 · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — guide for AI contributors

This file orients an AI (or a new engineer) working in Planchette. Read it before making changes. It complements docs/ARCHITECTURE.md (how the code is structured) and CONTRIBUTING.md (how to build, test, release).

What Planchette is

A native macOS terminal IDE for running many AI coding agents at once, built on the Ghostty engine (libghostty). It shows which session needs attention (asking / done / free), keeps layouts persistent across restart & reboot, and groups terminals by project. See README.md and docs/CONCEPT.md.

Ground rules

  1. No new external dependencies without asking. The app deliberately links only Apple frameworks + our self-built GhosttyKit. The updater uses the GitHub REST API directly instead of Sparkle; AI summaries shell out to the user's existing claude CLI instead of an SDK. Keep it that way unless the user explicitly approves a dependency.
  2. libghostty is pinned. vendor/ghostty is a submodule fixed to a tag (currently v1.3.1). Its embedding API is not stable across versions — do not bump it casually; a bump is its own reviewed change.
  3. Everything user-facing is localized. Never hardcode a display string. Add an LKey case and a value in all language tables in Localization.swift (EN is the required fallback — a test enforces it).
  4. State changes go through AppState and must be persisted. If you add a persisted field, update PersistedState (both inits), saveNow, applyRestore, startFresh, and AppState.init's early load.
  5. A user-facing feature is not done until it is in the Help tab. Every feature the user can reach appears in Help.sections (Help.swift), which is what the searchable Help tab in Settings renders. Add the entry in the same change as the feature, reusing the LKeys you already added for the control itself — the catalogue deliberately holds keys, not its own copy of the text, so help cannot drift from the UI. A test walks every entry and fails on an untranslated key. If a feature has no tooltip worth listing, that is a sign the control needs one, not that the feature skips the catalogue.
  6. Keep the main thread free. Subprocess/network work (claude -p, AppleScript, lsof, GitHub API) runs off-main; only touch @MainActor state after awaiting back.
  7. Verify by driving the app, not just building. See "Verifying" below.

Read the full file on GitHub · 166 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. 4d ago First seen · 166 lines · 2,650 tokens per session scan A 0256d9d540cf

Subscribe to this mod's changes

Planchette AGENTS.md is an instructions file published in the GitHub repository marcello-a/Planchette (3 stars, last pushed 4d ago), licensed MIT. It adds 2,650 tokens to every session, about $0.0132 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.

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