agent-desktop is a command-line tool that lets AI agents inspect and control desktop applications through operating-system accessibility data instead of screenshots or pixel matching. It is used to automate applications such as Finder, Safari, Xcode, and Slack with structured JSON commands and results.
Borrowing it
Nothing to install: this file belongs to lahfir/agent-desktop. 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/lahfir/agent-desktop/main/AGENTS.mdgit clone --depth 1 https://github.com/lahfir/agent-desktopWrote 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/lahfir/agent-desktop/agents-md)<a href="https://agentmods.dev/instructions/lahfir/agent-desktop/agents-md"><img src="https://agentmods.dev/badge/instructions/lahfir/agent-desktop/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/lahfir/agent-desktop/agents-md"><img src="https://agentmods.dev/badge/instructions/lahfir/agent-desktop/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 | $0.05132 | $0.05132 |
| Opus 5.5 | $0.02053 | $0.02053 |
| Sonnet 5.5 | $0.01026 | $0.01026 |
| Haiku 4.5 | $0.00513 | $0.00513 |
Grade A, and why
agent-desktop 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 8d 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 — 282 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance for AI coding agents working in this repository.
agent-desktop is a tool that AI agents invoke, not an agent. It is a Rust CLI and C library that reads native accessibility trees and returns structured JSON with ref-based element ids. The observe-act loop lives in the calling agent. It never embeds an LLM and has no GUI or interactive prompt. It does not automate web pages (use agent-browser). It cannot see UIs that expose no accessibility tree.
Commands
Each platform adapter compiles only on its own OS and the workspace names all three, so an unscoped cargo build,
cargo test --workspace or cargo clippy --all-targets fails on every host. Scope cargo to the host's package set,
the same set .githooks/pre-commit uses:
HOST_PKGS=(-p agent-desktop-core -p agent-desktop-macos -p agent-desktop -p agent-desktop-ffi)
# Windows: replace agent-desktop-macos with agent-desktop-windows. Linux: with agent-desktop-linux.
# An array expands to separate arguments in both bash and zsh; a plain string does not in zsh.
cargo build "${HOST_PKGS[@]}" # debug build
cargo build --release -p agent-desktop # release CLI; CI fails it above 15 MB
cargo test "${HOST_PKGS[@]}" # every test target
cargo test "${HOST_PKGS[@]}" --lib # library tests only; skips the binary crate
cargo test -p agent-desktop # binary crate: CLI contract, dispatch, batch, policy
cargo test "${HOST_PKGS[@]}" <test_name> # one test by name
cargo clippy "${HOST_PKGS[@]}" --all-targets -- -D warnings # zero warnings
cargo fmt --all -- --check
cargo check -p agent-desktop-core --all-targets --target x86_64-pc-windows-msvc # core cross-compiles
cargo check -p agent-desktop-core --all-targets --target x86_64-unknown-linux-gnu
cargo tree -p agent-desktop-core # must name no platform crate
AGENT_DESKTOP_E2E_EXCLUSIVE=1 bash tests/e2e/run.sh # macOS E2E; builds its own artifacts
bash scripts/perf-baseline-compare.sh # macOS perf A/B against the merge-base
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.
- 8d ago First seen · 282 lines · 5,132 tokens per session scan A 542e76235511
agent-desktop AGENTS.md is an instructions file published in the GitHub repository lahfir/agent-desktop (1,830 stars, last pushed 8d ago), licensed Apache-2.0. It adds 5,132 tokens to every session, about $0.0205 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 2026-10-29.
agent-desktop AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agent-desktop AGENTS.mdlahfir/agent-desktop | Instructions file | 1.8k | 8d ago | Apache-2.0 | A | 5,132 | 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 |