whiteboard AGENTS.md

whiteboard AGENTS.md is an instructions file for Codex, OpenCode from zkbys/whiteboard. It costs 1,474 tokens per session, scanned C, original, MIT.

Repository instructions for Codex or another coding agent, explaining which workspace to use, what to read first, and how the project’s work pipeline is organized.

In plain words
What is it for?
It helps agents start in the correct Git repository, check its state, pull updates, read relevant documents, and follow the project’s installation and workflow rules.
Why use it?
It reduces the risk of editing the wrong checkout, skipping important project documentation, or crossing the project’s defined boundaries.

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/zkbys/whiteboard/agents-md
Clone the repo
git clone --depth 1 https://github.com/zkbys/whiteboard

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 whiteboard AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/zkbys/whiteboard/agents-md.svg)](https://agentmods.dev/instructions/zkbys/whiteboard/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/zkbys/whiteboard/agents-md"><img src="https://agentmods.dev/badge/instructions/zkbys/whiteboard/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,474 This file is loaded in full into every session.
When invoked 1,474 The same file — it is already loaded in full.
Security scan C 1 finding. 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 $0.01474 $0.01474
Opus 5 $0.00737 $0.00737
Sonnet 5 $0.00295 $0.00295
Haiku 4.5 $0.00147 $0.00147

Measured 4d ago against content hash 1797207113ac, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade C, and why

whiteboard AGENTS.md scanned grade C with 1 finding 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.

Recursive force deletehighDestructive command

rm -rf with a variable or a broad path is one typo away from removing the wrong tree.

find . -name "__pycache__" -type d -prune -exec rm -rf {} +
AGENTS.md · 170 lines

How it starts

The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Instructions

This file is the first thing a new Codex/agent thread should read before editing this repository.

Canonical Workspace

Work only in the current Git checkout. Resolve it instead of assuming a developer-machine path:

git rev-parse --show-toplevel

Remote:

https://github.com/zkbys/whiteboard.git

Do not edit or publish files from the parent experimental workspace unless the user explicitly asks for historical reference work. In particular, do not treat these old folders as the active source:

  • ../whiteboard-infographic-prototype-v0.*
  • ../integration-smoke-test-*
  • ../integration-full-run-*
  • ../optimization-sync-calibration-test/
  • ../orchestrator-runs/
  • ../reference-video-analysis/
  • ../visual-hammer-v0.1/

Start Every New Thread With

cd "$(git rev-parse --show-toplevel)"
git status --short --branch
git pull --ff-only

Then read, as needed:

  • README.md or README.en.md
  • docs/PROJECT_STRUCTURE.md
  • docs/ARCHITECTURE.md
  • docs/VERSION_AUDIT.md
  • the SKILL.md for the module being changed
  • the matching references/contracts.md when changing JSON contracts or paths

Current Pipeline Boundary

The only user-facing Skill is skills/whiteboard-video/. It bundles the following directories as internal runtime modules during installation; do not install them as six separate user Skills.

Keep the module responsibilities separated:

  • B ip-cognition-script-polisher: script shaping only.
  • C ip-hand-drawn-infographic-planner: semantic board planning only; no bbox, camera, cursor, or animation coordinates.
  • Creator hand-drawn-infographic-creator: image-generation prompts and review notes only.
  • D hand-drawn-infographic-video-board: board PNG control layer, bbox calibration, annotation manifests, and motion plans.
  • E whiteboard-infographic-video-renderer: narration, measured timing, tokenized action sync, HyperFrames, preview MP4, and keyframes.
  • Orchestrator whiteboard-infographic-pipeline-orchestrator: full run order, handoff rules, validation, and acceptance reporting.

Read the full file on GitHub · 170 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 · 170 lines · 1,474 tokens per session scan C 1797207113ac

Subscribe to this mod's changes

whiteboard AGENTS.md is an instructions file published in the GitHub repository zkbys/whiteboard (59 stars, last pushed 1mo ago), licensed MIT. It adds 1,474 tokens to every session, about $0.0074 per session on Opus 5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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