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.
npx agentmods add instructions/max-lee-dev/local-lmcanvas/agents-mdgit clone --depth 1 https://github.com/max-lee-dev/local-lmcanvasWrote 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/max-lee-dev/local-lmcanvas/agents-md)<a href="https://agentmods.dev/instructions/max-lee-dev/local-lmcanvas/agents-md"><img src="https://agentmods.dev/badge/instructions/max-lee-dev/local-lmcanvas/agents-md.svg" alt="Measured on agentmods" 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 | $0.00470 | $0.00470 |
| Opus 5 | $0.00235 | $0.00235 |
| Sonnet 5 | $0.00094 | $0.00094 |
| Haiku 4.5 | $0.00047 | $0.00047 |
Grade A, and why
local-lmcanvas 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.
What it actually says
AGENTS.md
Guide for AI coding agents (Claude Code, Cursor, Codex, etc.) working in this repo.
Project
local-lmcanvas is a fully-local, canvas-based branching AI conversation tool. Electron 33 + React 19 + TypeScript 5.6 (strict). Supports multiple CLI-backed providers (Claude, Codex, Cursor) with per-provider model selection; collects no telemetry.
Build & verify
bun install
bun run dev # launches the Electron app
bun run typecheck # REQUIRED before claiming work complete
bun run build # production build
There are no tests and no lint script. Don't try to run them.
Project layout
src/main/— Electron main process (Node), IPC handlers, file I/O. Touch for: spawning the LLM CLI, persisting canvases, settings.src/preload/—contextBridge. Touch for: adding new IPC channels exposed to the renderer.src/renderer/— React UI, xyflow canvas. Touch for: UI changes.src/shared/— types and graph helpers used by both sides. Touch for: changing the data model or message-history reconstruction.
Hot files
src/main/index.ts— IPC handler registration andBrowserWindowsetup.src/shared/history.ts— graph traversal / message-history reconstruction.src/renderer/src/hooks/useCanvasStore.ts— Zustand store, ~530 lines.src/renderer/src/components/Canvas/CustomNode.tsx— node UI, ~550 lines.
Conventions
- TypeScript strict. No
anyunless a third-party type forces it. - No
@ts-ignore/@ts-expect-error. - Minimal comments — names should carry the meaning.
- No backwards-compat shims for code you delete.
- IPC channels: typed in
src/shared/ipc.ts, registered insrc/main/index.ts, exposed insrc/preload/index.ts. Keep all three in sync.
Before you finish
- Run
bun run typecheck. - Run
bun run devand click through what you changed. - Summarize what you did.
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.
- 4d ago First seen · 47 lines · 470 tokens per session scan A 299877a1744a
local-lmcanvas AGENTS.md is an instructions file published in the GitHub repository max-lee-dev/local-lmcanvas (11 stars, last pushed 1mo ago), licensed MIT. It adds 470 tokens to every session, about $0.0024 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 2026-08-30.
Other instructions, from other repositories
recharts AGENTS.md
AGENTS.md instructions for recharts/recharts: This is Recharts repository. Recharts is a React-based charting library. The goal is to provide a simple, declarative, and composable way to build charts. We value consistency, usability, and performance. Accessibility is important.
ui-components AGENTS.md
AGENTS.md instructions for starc007/ui-components, covering beui v2 — agent guide, commands, layout, component catalog and components (motion category — primitives).
ai AGENTS.md
AGENTS.md instructions for vercel/ai, covering agents.md, project overview, repository structure, key directories and core package dependencies.
react-svg AGENTS.md
AGENTS.md instructions for tanem/react-svg, covering agents.md, writing, architecture, build & test and releases.
ai CLAUDE.md
Claude Code instructions for vercel/ai, a project described as: The AI Toolkit for TypeScript. From the creators of Next.js, the AI SDK is a free open-source library for building AI-powered applications and agents.
walkerOS CLAUDE.md
Claude Code instructions for elbwalker/walkerOS, covering claude.md and important: use agent.md.