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 skills add AgentComputerAI/torch --skill doordashgit clone --depth 1 https://github.com/AgentComputerAI/torchWrote 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/agentcomputerai/torch/doordash)<a href="https://agentmods.dev/skills/agentcomputerai/torch/doordash"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/doordash/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/agentcomputerai/torch/doordash"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/doordash.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 | $0.00082 | $0.01977 |
| Opus 5.5 | $0.00033 | $0.00791 |
| Sonnet 5.5 | $0.00016 | $0.00395 |
| Haiku 4.5 | $0.00008 | $0.00198 |
Grade A, and why
doordash 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 1mo 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.
| **CDN** | Cloudflare (`cf-ray`, `cf-mitigated`, "Just a moment..." on raw curl) | How it starts
The opening of the file, as written. The whole thing — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DoorDash (doordash.com)
React SPA served through Cloudflare. Deal pages are server-side rendered with all items inlined in the initial HTML — don't bother with the GraphQL endpoints. A headed stealth Puppeteer session clears the Cloudflare challenge automatically; no captcha solver or proxy needed.
Detection
| Signal | Value |
|---|---|
| CDN | Cloudflare (cf-ray, cf-mitigated, "Just a moment..." on raw curl) |
| Framework | React SPA with SSR bootstrap |
| Anti-bot | Cloudflare Managed Challenge — clears via stealth plugin, no CAPTCHA |
| Rendering | SSR for deals carousels; GraphQL for personalized/auth surfaces |
| Auth | Not required for /browse/deals |
| Geo | Results vary by geoIP — default US egress lands in SF 94107 |
Strategy
Puppeteer (stealth, headed)
→ wait for networkidle2
→ scroll to trigger lazy sections
→ parse rendered HTML with Cheerio
Do NOT hit the GraphQL endpoints:
/graphql/homeLandingPageStores,getGeoByIP, etc. fire on page load but none return the deals feed.- The typical
facetFeedendpoint only fires on authenticated/personalized surfaces, not/browse/deals. - The deals feed is inlined in the SSR HTML — parse that directly.
Stealth config that works
import puppeteer from "puppeteer-extra";
import StealthPlugin from "puppeteer-extra-plugin-stealth";
puppeteer.use(StealthPlugin());
const browser = await puppeteer.launch({
headless: false,
args: [
"--no-sandbox",
"--disable-setuid-sandbox",
"--disable-blink-features=AutomationControlled",
],
});
const page = await browser.newPage();
await page.goto("https://www.doordash.com/browse/deals", { waitUntil: "networkidle2" });
Standard Chrome UA is fine — no rotation needed. Cloudflare clears on its own once JS runs.
Verify you're past the challenge before parsing:
const title = await page.title();
if (title !== "Deals | Doordash") {
throw new Error(`Unexpected page title: ${title} — Cloudflare may still be challenging`);
}
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.
- 1mo ago First seen · 201 lines · 82 tokens per session scan A 95368a0c1474
doordash is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 6mo ago), licensed MIT. It adds 82 tokens to every session and 1,977 once invoked, about $0.0003 per session on Opus 5.5. 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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