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 hackernewsgit 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/hackernews)<a href="https://agentmods.dev/skills/agentcomputerai/torch/hackernews"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/hackernews/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/hackernews"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/hackernews.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 | $0.00077 | $0.01883 |
| Opus 5.5 | $0.00031 | $0.00753 |
| Sonnet 5.5 | $0.00015 | $0.00377 |
| Haiku 4.5 | $0.00008 | $0.00188 |
Grade A, and why
hackernews 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.
- **Phase 0 (curl)**: HTTP 200, all data in raw HTML. **Gate A passed — skipped browser entirely.** How it starts
The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hacker News (news.ycombinator.com)
HN is the easiest scrape target on the internet. The entire front page is a single server-rendered HTML table with stable, decade-old class names. No cookies, no JS, no rate limits at normal pace. If you need more than a few pages, use the official Firebase API instead of scraping.
Detection
| Signal | Value |
|---|---|
| Server | nginx (Arc / Common Lisp app behind it) |
| CDN | None |
| Framework | Server-rendered HTML tables, no SPA |
| Anti-bot | None |
| Auth | Not required for reading |
| robots.txt | Allows /, disallows /x?, /r?, /vote?, etc. Crawl-delay: 30 |
Architecture
Every listing page (/news, /newest, /front, /ask, /show, /jobs, ?p=N) is a single <table id="hnmain"> with 30 stories. Each story is two <tr> rows:
tr.athing.submission— id, rank, title link, site domain- the next
<tr>— subtext row with points, user, age, comments
The "More" link at the bottom (a.morelink[rel=next]) gives the next page URL, e.g. ?p=2.
Strategy used
- Phase 0 (curl): HTTP 200, all data in raw HTML. Gate A passed — skipped browser entirely.
- Phase 1/2 not needed.
Stealth config that works
None needed. Plain fetch works. A generic UA is polite:
headers: { 'user-agent': 'Mozilla/5.0 (compatible; torch-scraper/1.0)' }
Respect Crawl-delay: 30 from robots.txt if you hit many pages.
Extraction
import * as cheerio from 'cheerio';
const html = await (await fetch('https://news.ycombinator.com')).text();
const $ = cheerio.load(html);
const items = [];
$('tr.athing.submission').each((_, el) => {
const $row = $(el);
const id = $row.attr('id');
const rank = parseInt($row.find('.rank').text(), 10);
const $a = $row.find('.titleline > a').first();
const title = $a.text().trim();
const url = $a.attr('href');
const site = $row.find('.sitestr').text().trim() || null;
const $sub = $row.next().find('.subtext .subline');
const points = parseInt($sub.find('.score').text(), 10) || 0;
const user = $sub.find('.hnuser').text().trim() || null;
const time = ($sub.find('.age').attr('title') || '').split(' ')[0] || null;
const age = $sub.find('.age a').text().trim();
const cmatch = $sub.find('a').last().text().match(/(\d+)\s*comment/);
const comments = cmatch ? parseInt(cmatch[1], 10) : 0;
items.push({ rank, id, title, url, site, points, user, comments, age, time,
hn_url: `https://news.ycombinator.com/item?id=${id}` });
});
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 · 149 lines · 77 tokens per session scan A 47231904ba65
hackernews is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 6mo ago), licensed MIT. It adds 77 tokens to every session and 1,883 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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