Borrowing it
Nothing to install: this file belongs to dashpay/platform. 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/dashpay/platform/v5.1-dev/.claude/skills/simulator-control/SKILL.mdgit clone --depth 1 https://github.com/dashpay/platformWrote 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/skills/dashpay/platform/simulator-control)<a href="https://agentmods.dev/skills/dashpay/platform/simulator-control"><img src="https://agentmods.dev/badge/skills/dashpay/platform/simulator-control/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/skills/dashpay/platform/simulator-control"><img src="https://agentmods.dev/badge/skills/dashpay/platform/simulator-control.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Supply Chain · line 133 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
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 | $0.00101 | $0.07039 |
| Opus 5.5 | $0.00040 | $0.02816 |
| Sonnet 5.5 | $0.00020 | $0.01408 |
| Haiku 4.5 | $0.00010 | $0.00704 |
Grade A, and why
simulator-control scanned grade A with 2 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| `curl` + `WebFetch` | builtin | Cross-check chain state via insight.testnet API | Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run( How it starts
The opening of the file, as written. The whole thing — 409 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Simulator Control — drive + inspect SwiftExampleApp
When the user is testing SwiftExampleApp in the iOS simulator, you can do everything they could do: tap buttons by label, type text, swipe, dump the accessibility tree, screenshot the screen, read the SwiftData store directly for ground truth, cross-check chain state against testnet. Use this together with the human-in-the-loop, not against them — confirm with them before destructive actions.
Required tooling
| Tool | Install | Why |
|---|---|---|
xcrun simctl |
Xcode CLT (already installed for iOS dev) | Screenshot, app container, openurl, logs |
sqlite3 |
macOS default | Read SwiftData default.store |
idb + idb_companion |
brew install facebook/fb/idb-companion + pipx install --python /opt/homebrew/bin/python3.12 fb-idb (fb-idb 1.1.7 uses asyncio.get_event_loop() which Python 3.14 dropped — must pin 3.12) |
Tap / swipe / type / accessibility tree |
curl + WebFetch |
builtin | Cross-check chain state via insight.testnet API |
Without idb the inspection workflows (screenshot + SwiftData + logs) still work; only control workflows are blocked.
Quick command reference
# === Setup (once per session) ===
export PATH="$HOME/.local/bin:$PATH"
UDID=$(xcrun simctl list devices booted | awk -F'[()]' '/Booted/ {print $2}')
idb connect $UDID # starts idb_companion alongside the running sim
BUNDLE=org.dashfoundation.DashDeveloperPro
# === INSPECT ===
xcrun simctl io booted screenshot /tmp/sim.png # screenshot
idb ui describe-all --udid $UDID # accessibility tree (JSON)
idb ui describe-point --udid $UDID X Y # element under coord
# === CONTROL ===
idb ui tap --udid $UDID X Y # tap at coord
idb ui swipe --udid $UDID X1 Y1 X2 Y2 --duration 0.3 # swipe
idb ui text --udid $UDID "hello" # type text into focused field
idb ui key --udid $UDID 40 # short press keycode (40 = return)
idb ui button --udid $UDID HOME # hardware buttons: HOME, LOCK, SIRI, SIDE_BUTTON
# === APP ===
xcrun simctl launch booted $BUNDLE
xcrun simctl terminate booted $BUNDLE
xcrun simctl openurl booted "dashplatform://identity/abc123"
# === DATA ===
DATA=$(xcrun simctl get_app_container booted $BUNDLE data)
STORE="$DATA/Library/Application Support/default.store"
sqlite3 "$STORE" "SELECT ..."
# === LOGS ===
xcrun simctl spawn booted log show --last 60s --info \
--predicate 'processImagePath CONTAINS "SwiftExampleApp"'
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 · 409 lines · 101 tokens per session scan A 3b1854b67297
simulator-control is a skill published in the GitHub repository dashpay/platform (93 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 7,039 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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