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superdesigndev/treg18 installs

web-access

Use whenever a task needs something from the live web — search the web or the news, read a URL, map or crawl a site, pull structured fields from a page, or get data from a platform (X, LinkedIn, Reddit, TikTok, Instagram, YouTube, Xiaohongshu, Amazon, app stores, Google Maps, papers). Picks the right tool for the job, starts free, and lets treg fall back to the next vendor when one fails. No local scrapers, browsers or cookies.

How do I install this agent skill?

npx skills add https://github.com/superdesigndev/treg --skill web-access
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubwarn

    The skill relies on an external CLI tool ('treg') for its core functionality and directs users to a third-party website for installation, which introduces a dependency risk. Additionally, the skill's primary purpose—ingesting and processing content from arbitrary web pages and social media platforms—creates a surface for indirect prompt injection.

  • Socketpass

    No alerts

  • Snykwarn

    Risk: MEDIUM · 2 issues

What does this agent skill do?

Web access

One treg key reads the web: free search and page fetch first, and the rest of the catalog behind them for the pages and platforms a free fetch can't reach. Nothing runs on this machine: no browser, no cookies, no burner accounts. treg calls the vendor and, on a routed job, tries the next one when a vendor comes back empty or blocked.

Runs on treg. If it isn't set up (treg --version fails), read https://treg.to/llms.txt and follow it to install and sign in, then come back here.

Pick the job

Know the URL?             → read it (free first)
Need to find pages?       → search (free) → read the 3–5 best results
A platform object?        → never scrape its HTML: use the platform's job
  (post, profile, video,     structured fields, fewer tokens, survives redesigns
   product, review, place)
A whole site?             → map it → read only the pages that matter
Need typed fields?        → structured extract with a JSON schema or an instruction
Need it recent or dated?  → news search, not web search

Free first

Web search and page reads are free through TinyFish:

  • treg call treg.web.search --data '{"q":"…"}' --header 'X-Treg-Route-Prefer: tinyfish'
  • treg call treg.web.extract --data '{"url":"…"}' --header 'X-Treg-Route-Prefer: tinyfish'

Both are routed: when TinyFish comes back empty or blocked, treg tries the next vendor (Crawl4AI, AnyAPI, …). You pay the vendor that answered plus any vendor before it that bills a miss (treg catalog get says how many do); X-Treg-Route-Max-Cost caps the walk. To read up to ten URLs in one free call, call tinyfish.web.fetch directly with {"urls":[…]}; it does not fall back.

Platform data (social, stores, reviews, maps) is not free: cents or fractions of a cent a call. Say so before a batch.

Jobs

Search the catalog for the words in the second column. The vendors are examples of who answers today; take whatever the catalog ranks best now.

You wantSearch the catalog forExample vendorsNotes
Web resultstreg.web.searchTinyFish, Exa, Perplexity, Keenablefree with the TinyFish header
A page as markdowntreg.web.extractTinyFish, Crawl4AI, AnyAPIfree first; blocked pages fall back
Typed fields from a pagetreg.web.extract.structuredsend url plus a schema and/or instruction
Every URL on a sitetreg.web.mapAnyAPI, Firecrawl, Tavilyadd q to rank URLs for a topic
Many pages of a site"crawl a website"Firecrawl, Crawl4AI, Olostepmap first when you need only some pages
Recent newstreg.web.search.newsSerper, DataForSEO, Exadated results
Papers"search research publications"TinyFish, Exa, Serper
X, LinkedIn, Reddit, TikTok, Instagram, Threads, Facebook"x search posts", "linkedin company posts", "reddit subreddit posts", "tiktok video comments", …TikHub, ScrapeCreators, HarvestAPI, AnyAPIprofiles, posts, comments, reactions as fields
YouTube, Bilibili"youtube video comments", "youtube search videos"Crawl4AI, TikHub, ScrapeCreators
Xiaohongshu, Douyin, Weibo"xiaohongshu user notes", "douyin search videos"TikHub, JustOneAPI
Stores"amazon product detail", "amazon search products", "walmart search", "ebay search"JustOneAPI, SerpAPI, Crawl4AIprice, rating, reviews as fields
Reviews"app store reviews", "google play app", "trustpilot reviews", "glassdoor reviews", "google maps reviews"Crawl4AI, Bright Data, LiteScrape
Places"google maps search", "local results"DataForSEO, SerpAPI
Google results as Google shows them"google serp organic"DataForSEO, Serperranks, snippets, features

Finding the endpoint

The catalog changes every week, so never trust a remembered endpoint id.

  1. treg catalog search "<the job in plain words>", not a vendor name.
  2. Prefer a routed treg.* endpoint when there is one: the team's own keys first, then vendors in order, and most misses are free.
  3. treg catalog get <id>: the price, the vendors behind a routed job, and each one's measured hit rate (it found something), not just works (it returned 200), and speed.
  4. One small call first. Read _treg.served_by, _treg.tried and the reported charge, then scale.
  5. Nothing fits: treg catalog request "<what is missing>".

Steering a routed job

Options ride as headers, never in the body:

HeaderUse it to
X-Treg-Route-Prefer: <vendor>try that vendor first (free TinyFish, or the one that worked last time)
X-Treg-Route-Exclude: <vendor>skip a vendor that gave you bad answers
X-Treg-Route-Max-Cost: <usd>cap one call; uncapped, a miss can walk up to $1 of vendors
X-Treg-Route-Waterfall: 0stop at the first miss when only one vendor's answer will do

Batches: always send a Max-Cost.

Habits that save money and tokens

  • Read pages as markdown, and cut navigation and footers before they reach the context.
  • A platform job returns fields; a scraped page of the same thing costs several times the tokens.
  • Search, then read only the results you need. Never read a whole site to answer one question.
  • Keep the source URL next to every fact you hand back.

Recipes

  • Research a company: web search → read its site, pricing and docs pages → news search for the last 90 days → its LinkedIn company profile.
  • Read a docs site into context: map the site with q set to the topic → read the top pages.
  • Watch a page for changes: read it, keep a hash of the text, read it again next run and report the diff. Schedule it with the user's agent (Claude Code /schedule or /loop, cron for others).
  • Social listening: search posts on X, Reddit and LinkedIn → read the comments on the best ones → summarise by theme with links.
  • Compare a product across stores: search it on each store → product detail for the matches → one table of price, rating and review count.
  • Collect reviews: app store and Google Play for apps, Trustpilot and Glassdoor for companies, Google Maps for places → quote the patterns, with counts.
  • Videos into notes: YouTube search → video detail and comments → summarise.

Check the setup

treg --version && treg balance
treg call treg.web.search --data '{"q":"treg web access"}' --header 'X-Treg-Route-Prefer: tinyfish'

A result with _treg.served_by and no charge means free search works. Something wrong: treg feedback "<what happened>" reaches the team.

Lines not to cross

Public data only. Never log in as the user, ask for their cookies or get round a paywall. Don't bulk collect personal data about private individuals. When a vendor refuses a page, take the fallback or tell the user; don't hammer it.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/superdesigndev/treg/web-access">View web-access on skillZs</a>