Clicky is an open-source macOS AI teaching companion that sits beside the cursor, sees the screen, speaks with the user, and points to on-screen elements. Developers use the project to run, inspect, and extend the application. The catalogue entries are instructions for working with this codebase through coding agents.
Borrowing it
Nothing to install: this file belongs to farzaa/clicky. 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/farzaa/clicky/main/AGENTS.mdgit clone --depth 1 https://github.com/farzaa/clickyWrote 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/farzaa/clicky/agents-md)<a href="https://agentmods.dev/instructions/farzaa/clicky/agents-md"><img src="https://agentmods.dev/badge/instructions/farzaa/clicky/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/farzaa/clicky/agents-md"><img src="https://agentmods.dev/badge/instructions/farzaa/clicky/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 | $0.02959 | $0.02959 |
| Opus 5.5 | $0.01184 | $0.01184 |
| Sonnet 5.5 | $0.00592 | $0.00592 |
| Haiku 4.5 | $0.00296 | $0.00296 |
Grade C, and why
clicky 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 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
<!-- AI agents: follow these instructions to keep this file accurate. --> Copies of this mod
1 near-identical copy found in the catalogue:
- clicky-with-skills AGENTS.md — 86% identical, 10 lines differ
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clicky - Agent Instructions
Overview
macOS menu bar companion app. Lives entirely in the macOS status bar (no dock icon, no main window). Clicking the menu bar icon opens a custom floating panel with companion voice controls. Uses push-to-talk (ctrl+option) to capture voice input, transcribes it via AssemblyAI streaming, and sends the transcript + a screenshot of the user's screen to Claude. Claude responds with text (streamed via SSE) and voice (ElevenLabs TTS). A blue cursor overlay can fly to and point at UI elements Claude references on any connected monitor.
All API keys live on a Cloudflare Worker proxy — nothing sensitive ships in the app.
Architecture
- App Type: Menu bar-only (
LSUIElement=true), no dock icon or main window - Framework: SwiftUI (macOS native) with AppKit bridging for menu bar panel and cursor overlay
- Pattern: MVVM with
@StateObject/@Publishedstate management - AI Chat: Claude (Sonnet 4.6 default, Opus 4.6 optional) via Cloudflare Worker proxy with SSE streaming
- Speech-to-Text: AssemblyAI real-time streaming (
u3-rt-promodel) via websocket, with OpenAI and Apple Speech as fallbacks - Text-to-Speech: ElevenLabs (
eleven_flash_v2_5model) via Cloudflare Worker proxy - Screen Capture: ScreenCaptureKit (macOS 14.2+), multi-monitor support
- Voice Input: Push-to-talk via
AVAudioEngine+ pluggable transcription-provider layer. System-wide keyboard shortcut via listen-only CGEvent tap. - Element Pointing: Claude embeds
[POINT:x,y:label:screenN]tags in responses. The overlay parses these, maps coordinates to the correct monitor, and animates the blue cursor along a bezier arc to the target. - Concurrency:
@MainActorisolation, async/await throughout - Analytics: PostHog via
ClickyAnalytics.swift
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 First seen · 168 lines · 2,959 tokens per session scan C 7066784b7cc5
clicky AGENTS.md is an instructions file published in the GitHub repository farzaa/clicky (7,939 stars, last pushed 9d ago), licensed MIT. It adds 2,959 tokens to every session, about $0.0118 per session on Opus 5.5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
clicky AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| clicky AGENTS.mdfarzaa/clicky | Instructions file | 7.9k | 9d ago | MIT | C | 2,959 | 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 | yesterday | 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 |