Borrowing it
Nothing to install: this file belongs to ahmetb/Iris. 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/ahmetb/Iris/main/AGENTS.mdgit clone --depth 1 https://github.com/ahmetb/IrisWrote 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/ahmetb/iris/agents-md)<a href="https://agentmods.dev/instructions/ahmetb/iris/agents-md"><img src="https://agentmods.dev/badge/instructions/ahmetb/iris/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/ahmetb/iris/agents-md"><img src="https://agentmods.dev/badge/instructions/ahmetb/iris/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 | $0.01281 | $0.01281 |
| Opus 5.5 | $0.00512 | $0.00512 |
| Sonnet 5.5 | $0.00256 | $0.00256 |
| Haiku 4.5 | $0.00128 | $0.00128 |
Grade A, and why
Iris 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 — 165 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Development Principles for Iris.app
Project Overview
Iris is a macOS application that displays a webcam feed in a circular, always-on-top window. This is an LLM-agent-coded project where the human developer provides feedback but does not write code directly.
Core Development Principles
1. No Xcode IDE Required
- All development must be possible via command-line tools
- Provide
build.shandrun.shscripts for easy compilation and launch - Use
xcodebuildfor building, not Xcode IDE - Developer should only need: macOS, Command Line Tools, and a terminal
2. Design-First Approach
- Every feature has a corresponding
design/*.mdfile - Read the design doc before implementing a feature
- Design docs specify:
- High-level architecture
- Key classes and their responsibilities
- Edge cases and gotchas
- Testing considerations
3. Code Quality Standards
Simplicity Over Cleverness
- Write straightforward, readable code
- Avoid premature optimization
- No unnecessary abstractions
- Clear naming over comments
Native macOS Patterns
- Use AppKit (not SwiftUI) for precise window control
- Follow Apple's Human Interface Guidelines
- Leverage native APIs (AVFoundation, NSStatusBar, etc.)
- Handle macOS-specific behaviors properly
Error Handling
- Gracefully handle camera permissions denial
- Handle no camera available scenario
- Handle window positioning on disconnected displays
- Log errors clearly for debugging
4. Incremental Development
- Build features one at a time
- Each feature should be testable independently
- Commit working code frequently
- Don't break existing functionality
5. Performance Considerations
- Video rendering should be smooth (60fps target)
- Minimize CPU usage when idle
- Efficient memory usage for video buffers
- Window resizing should be responsive
6. User Experience
- No crashes or unexpected behavior
- Smooth animations and transitions
- Clear error messages
- Sensible defaults
- Remember user preferences
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 · 165 lines · 1,281 tokens per session scan A 84df09b5e6d0
Iris AGENTS.md is an instructions file published in the GitHub repository ahmetb/Iris (68 stars, last pushed 2mo ago), licensed MIT. It adds 1,281 tokens to every session, about $0.0051 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 2026-08-30.
Iris AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Iris AGENTS.mdahmetb/Iris | Instructions file | 68 | 2mo ago | MIT | A | 1,281 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 3d ago | MIT | A | 4,313 | Codex, OpenCode |