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/agentcomputerai/torch/applenpx skills add AgentComputerAI/torch --skill applegit clone --depth 1 https://github.com/AgentComputerAI/torchWhat 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 | $0.00127 | $0.02487 |
| Opus 5 | $0.00063 | $0.01243 |
| Sonnet 5 | $0.00025 | $0.00497 |
| Haiku 4.5 | $0.00013 | $0.00249 |
Grade A, and why
apple scanned grade A 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 yesterday.
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.
| Status | 200 to bare `curl` with no UA tricks | How it starts
The opening of the file, as written. The whole thing — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apple Store buy-flow (apple.com/shop/buy-*)
Apple's online store is a thin client over a giant SSR HTML page. The configurator state — every SKU, color, chip, price, customization option — is embedded inline as JavaScript object literals. No XHRs needed: fetch the page, find the bootstrap, extract the inner JSON. Sub-second scrape, 0 anti-bot.
Detection
| Signal | Value |
|---|---|
| Server | Server: Apple (custom edge, not Akamai/CF) |
| Status | 200 to bare curl with no UA tricks |
| Framework | Custom AS (Apple Store) buyflow — not Next/Nuxt |
| Anti-bot | None on /shop/buy-* HTML |
| robots.txt | Allows /shop/buy-* for Googlebot etc. |
| Auth | None required |
Architecture
The buyflow page ships ~550 KB of HTML containing several window.*_BOOTSTRAP = blocks injected by the server:
window.PRODUCT_SELECTION_BOOTSTRAP— the one you want. HoldsproductSelectionDatawithproducts[],mainDisplayValues(colors, sizes, chips, prices), andconfigDisplayValues(memory, storage, adapter, keyboard).window.PURCHASE_OPTIONS_BOOTSTRAP— checkout/financing options.window.APPLECARE_BOOTSTRAP— AppleCare add-ons.window.TRADEUP_BOOTSTRAP— trade-in calculator data.window.LOCATION_BOOTSTRAP,window.ECHO_CONFIG,window.GLOBAL_ASSETS,window.NAMED_ASSETS,window.ACI_CONFIG_MAP,window.BUYFLOW_MESSAGES_BOOTSTRAP— UI/i18n/asset metadata.
The React-ish client just hydrates from these. There is no /api/ you need to call for the configurator — everything is server-printed.
Strategy used
- Phase 0 (curl) —
curl -sLreturns 200 with the full HTML. Done. - Phase 1/2 skipped.
Stealth config
None required. Plain fetch works. One gotcha: Node's undici occasionally hangs on Apple's edge over IPv6 (ETIMEDOUT from internalConnectMultiple). Force IPv4:
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.
- yesterday First seen · 179 lines · 127 tokens per session scan A ca4ff99a44b6
apple is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 4mo ago), licensed MIT. It adds 127 tokens to every session and 2,487 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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browserstack
../../../engineering-team/playwright-pro/skills/browserstack/SKILL.md.
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browser-recording
Record a browser flow as a video/GIF for evidence — animations, transitions, and multi-step interactions that a still screenshot cannot prove. Drives the project's own Playwright through a bundled runner, then converts to mp4 + GIF via ffmpeg. Use when the user asks to record a demo, capture a GIF or video of the UI…