github

A set of instructions for collecting information from public GitHub pages using ordinary web requests and HTML parsing. GitHub is a site where developers host and collaborate on code.

In plain words
What is it for?
Scraping trending repositories, repository descriptions, stars, forks, metadata, embedded page data, and sitemap information.
Why use it?
It provides practical guidance on where GitHub displays repository details and when an API is needed instead of downloading the page.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/agentcomputerai/torch/github
Any agent
npx skills add AgentComputerAI/torch --skill github
Clone the repo
git clone --depth 1 https://github.com/AgentComputerAI/torch

Made for: Claude Code, Codex.

Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,151 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00063 $0.01151
Opus 5 $0.00032 $0.00575
Sonnet 5 $0.00013 $0.00230
Haiku 4.5 $0.00006 $0.00115

Measured yesterday against content hash f6796d9f6be2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

github 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.

Phase 0 curl → done. Data is in raw HTML, no protection headers, no JS required. Skip browser entirely.
skills/sites/github/SKILL.md · 105 lines

How it starts

The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.

GitHub (github.com)

GitHub's public HTML pages are fully server-rendered with no JS gating and no bot protection on unauthenticated GETs. A one-shot fetch + cheerio parse is all you need. Only reach for the REST API (api.github.com) when you hit the 60 req/hr unauthenticated limit or need structured fields (topics, license, default branch) not present on the HTML.

Detection

Signal Value
CDN GitHub edge (Varnish/Fastly)
Framework Rails + Turbo, React islands
Anti-bot None on public pages
Auth Optional — anon works
Rate limit (HTML) Generous, IP-based, soft
Rate limit (REST) 60/hr unauth, 5000/hr with token

Architecture

  • /trending is a normal Rails view. Repo cards are <article class="Box-row"> inside <div data-hpc>.
  • Note: the trending list size varies — historically 25, but currently GitHub often returns only ~10 cards. Don't hardcode the count.
  • Repo pages (/{owner}/{name}) have data in multiple places: HTML meta tags, <react-app> embedded JSON payloads, and DOM nodes. For simple fields (stars, forks, description), raw DOM is easiest.
  • Sitemaps at /sitemap.xml are huge — prefer targeted URL lists.

Strategy used

Phase 0 curl → done. Data is in raw HTML, no protection headers, no JS required. Skip browser entirely.

import { load } from 'cheerio';

const res = await fetch('https://github.com/trending', {
  headers: { 'User-Agent': 'Mozilla/5.0' },
});
const $ = load(await res.text());

$('article.Box-row').each((_, el) => {
  const $el = $(el);
  const fullName = $el.find('h2 a').attr('href').replace(/^\//, '').replace(/\s+/g, '');
  const description = $el.find('p').text().trim() || null;
  const language = $el.find('[itemprop="programmingLanguage"]').text().trim() || null;
  const stars = parseInt($el.find('a[href$="/stargazers"]').text().trim().replace(/,/g, '')) || 0;
  const forks = parseInt($el.find('a[href$="/forks"]').text().trim().replace(/,/g, '')) || 0;
  const starsToday = $el.find('span.d-inline-block.float-sm-right').text().trim().replace(/\s+/g, ' ');
  // ...
});

Read the full file on GitHub · 105 lines

Changes

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.

  1. yesterday First seen · 105 lines · 63 tokens per session scan A f6796d9f6be2

Subscribe to this mod's changes

github is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 4mo ago), licensed MIT. It adds 63 tokens to every session and 1,151 once invoked, about $0.0003 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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