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 skills/lycorp-jp/sim-use/sim-usenpx skills add lycorp-jp/sim-use --skill sim-usegit clone --depth 1 https://github.com/lycorp-jp/sim-useWhat 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 | $0.00062 | $0.03032 |
| Opus 5 | $0.00031 | $0.01516 |
| Sonnet 5 | $0.00012 | $0.00606 |
| Haiku 4.5 | $0.00006 | $0.00303 |
Grade A, and why
sim-use 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 3d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
0. Preflight
Before first interaction with a device, run the preflight check:
python3 scripts/preflight.py --device <UDID>
This verifies sim-use is installed, the device is reachable, and the daemon is healthy. If you don't have the script, do the checks manually:
sim-use --version— confirm sim-use is on PATH.sim-use devices— confirm the target device is listed and booted/connected.sim-use ui --device <UDID>— confirm you can read the screen.
--device is optional when only one simulator is booted or one daemon is running. For Android, run sim-use android init --device <serial> once to install the bridge APK. Attached physical iPhones/iPads appear in sim-use devices with kind physical and route through the top-level verbs too — but only ui, selector-based tap and screenshot; every other verb rejects on that target. See Physical iOS devices below before driving one.
1. The observe-act loop
Every interaction follows the same cycle: observe → act → verify.
Observe
sim-use ui --device <UDID>
Read the outline. Each element has an @N alias and optionally a #<id> identifier. List cells carry #N (dominant list) or #N@M (scoped).
Frames in the JSON output (--json: entries[].frame, screen) are in platform-native units — iOS points, Android pixels. Key off the envelope's platform field before doing math on coordinates across platforms. Always pair --json with --no-raw — see Keeping output small below.
Act
Pick a selector, in order of preference:
| Selector | When to use |
|---|---|
tap @N |
Right after ui. Fastest, cache-backed. |
tap #<id> |
Stable across minor layout changes. Paste from the outline. |
tap --label 'X' |
Scripted flows. Combine with --wait-timeout for transitions. |
tap --label-regex '...' |
Dynamic labels with counters/timestamps. Anchor with ^...$. |
tap --label-contains 'X' |
Substring match when exact label is unknown. |
tap -x N -y N / tap --point x,y |
Last resort for elements with no AX data. |
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 3d ago First seen · 173 lines · 62 tokens per session scan A 567eb039f992
sim-use is a skill published in the GitHub repository lycorp-jp/sim-use (1,297 stars, last pushed 6d ago), licensed Apache-2.0. It adds 62 tokens to every session and 3,032 once invoked, about $0.0003 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.
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mobilerun-docs
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