Borrowing it
Nothing to install: this file belongs to raytone-lab/agentcanvas. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/raytone-lab/agentcanvas/main/AGENTS.mdgit clone --depth 1 https://github.com/raytone-lab/agentcanvasWrote 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.
[](https://agentmods.dev/instructions/raytone-lab/agentcanvas/agents-md)<a href="https://agentmods.dev/instructions/raytone-lab/agentcanvas/agents-md"><img src="https://agentmods.dev/badge/instructions/raytone-lab/agentcanvas/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.
<a href="https://agentmods.dev/instructions/raytone-lab/agentcanvas/agents-md"><img src="https://agentmods.dev/badge/instructions/raytone-lab/agentcanvas/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01585 | $0.01585 |
| Opus 5.5 | $0.00634 | $0.00634 |
| Sonnet 5.5 | $0.00317 | $0.00317 |
| Haiku 4.5 | $0.00159 | $0.00159 |
Grade A, and why
agentcanvas 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 203 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Design Source of Truth
Before generating or changing any UI, read DESIGN.md (project root) — the visual + interaction spec (colors, typography, geometry, elevation, component contracts, motion). Use semantic tokens only; no raw hex or raw px motion durations. Component architecture lives in docs/COMPONENT_SYSTEM.md. App orchestration layering (src/app state machine, viewmodel, projections, and the agent-preview facade boundaries) lives in docs/APP_ARCHITECTURE.md.
Project Mode
This project is AgentUX Scaffold Configurator: a default Agent frontend template plus focused UX presets on top of AgentUX SDK.
Optimize for the shortest path to a working, maintainable scaffold. Challenge goals or paths that drift toward a generic low-code builder, infinite canvas, heavy component assembly surface, or decorative UI prototype without exportable engineering structure.
Core Product Rule
Do not build a Figma-style infinite canvas.
The product should feel configurable, but the implementation must be schema-driven and region-constrained so exported code remains clean. Users should start from a strong default Agent frontend, then adjust key UX presets.
The primary user journey is: users assemble and tune the Agent UI/UX in this app, click download/export, receive a runnable code package, and continue second-stage development of their own Agent frontend from that package. AgentCanvas is the scaffold configurator and package generator, not the long-term hosted runtime for the user's Agent product.
Do not treat export as a cosmetic manifest or preview-only summary. The export path must produce real project files that can be installed, run, edited, and extended outside AgentCanvas.
Allowed regions:
maincomposerright-panelbottom-dockoverlay
Free positioning is not a primary MVP interaction. Optional snap placement is acceptable only for composer, output, Git, and overlay/floating components with clear bounds.
Even without drag/drop as the primary interaction, keep each major UI area independent and copyable. The builder should be able to customize Chat, Composer, Output, Git, Activity UX, Provider/Harness controls, and Debug Dock separately.
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.
- 2mo ago Changed · +35 tokens per session 81cb26e1f70a
- 2mo ago First seen · 203 lines · 1,550 tokens per session scan A 0b5792ba9174
agentcanvas AGENTS.md is an instructions file published in the GitHub repository raytone-lab/agentcanvas (26 stars, last pushed 21d ago), licensed MIT. It adds 1,585 tokens to every session, about $0.0063 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 2026-08-31.
agentcanvas AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agentcanvas AGENTS.mdraytone-lab/agentcanvas | Instructions file | 26 | 21d ago | MIT | A | 1,585 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |