Borrowing it
Nothing to install: this file belongs to shahriarshm/planchette. 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/shahriarshm/planchette/main/AGENTS.mdgit clone --depth 1 https://github.com/shahriarshm/planchetteWrote 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/shahriarshm/planchette/agents-md)<a href="https://agentmods.dev/instructions/shahriarshm/planchette/agents-md"><img src="https://agentmods.dev/badge/instructions/shahriarshm/planchette/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/shahriarshm/planchette/agents-md"><img src="https://agentmods.dev/badge/instructions/shahriarshm/planchette/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 | $0.00647 | $0.00647 |
| Opus 5.5 | $0.00259 | $0.00259 |
| Sonnet 5.5 | $0.00129 | $0.00129 |
| Haiku 4.5 | $0.00065 | $0.00065 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Driving a window with the planchette CLI
You (the agent) are the control loop: capture the window, look at the screenshot, decide one action, run it, look again.
Setup
planchettemust be on PATH (uv tool install .from this repo).- macOS: the terminal app needs Screen Recording + Accessibility permission (System Settings → Privacy & Security), else captures are black and input does nothing.
- Windows: no special permission. Linux: X11 only (Wayland unsupported).
Selecting a window
- Interactive (macOS):
planchette pick— blocks until the user hovers and clicks a window under the overlay; allow a generous timeout (120s). - Headless / any OS:
planchette pick --listto see candidates, thenplanchette pick --name "Telegram"(case-insensitive substring of app name or title; frontmost match wins). planchette agentis the human-facing hotkey panel (it spawns its own agent session) — as an agent, never run it; usepick.
The loop
planchette capture→ printsPATH WIDTHxHEIGHT. View that PNG. All coordinates below are pixels in this image, origin top-left.- One action:
planchette click X Y(--doublefor double-click,--rightfor context menu)planchette drag X1 Y1 X2 Y2(select text, move sliders, drag & drop)planchette move X Yplanchette type "text"(types into the selected window — click the field first)planchette key "cmd+t"(cmd/ctrl/alt/shift + key;--repeat Nto press N times)planchette scroll X Y up|down [lines]
- Re-capture and look again. Repeat until done.
Text too small to read? planchette capture --crop X Y W H saves a native-res
zoom of that region (coords in last-capture pixels). It's a magnifier only —
keep computing click coordinates in the full capture's space.
Rules
- On macOS input goes to the selected window's process in the background — the user keeps their focus and cursor and can keep chatting while you drive. On Windows/Linux input follows real focus: warn the user not to touch anything.
- Never act blind: one action per capture, always look before the next.
- If actions have no visible effect in the next capture,
planchette raisethe window and retry once. error: no window selected/no capture yet→ run the missing precondition and retry.window is gone→ re-run pick.- If the window falls behind another,
planchette raise. - Stop and ask rather than guess or do anything destructive.
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.
- 1mo ago First seen · 53 lines · 647 tokens per session scan A 0da589b8c912
planchette AGENTS.md is an instructions file published in the GitHub repository shahriarshm/planchette (0 stars, last pushed 3mo ago), licensed MIT. It adds 647 tokens to every session, about $0.0026 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.