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web-data-acquisition

web-data-acquisition is a skill for Claude Code, Codex from valtterimelkko/agent-workflow-skills. It costs 92 tokens per session (830 once invoked), scanned A, original, MIT.

A routing guide for public web-data tasks such as scraping sites, crawling documentation, finding URLs, and extracting structured information.

In plain words
What is it for?
It is for fetching a few pages, crawling whole sites into Markdown, mapping website routes, and capturing public websites for later analysis.
Why use it?
It helps the coding agent choose an appropriate local tool for the size and type of web task instead of selecting a stack at random.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 2repo 2mo ago A scan 92 tokens original MIT

Good fit It is for fetching a few pages, crawling whole sites into Markdown, mapping website routes, and capturing public websites for later analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/valtterimelkko/agent-workflow-skills/web-data-acquisition
View source ↗ valtterimelkko/agent-workflow-skills
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.

Any agent
npx skills add valtterimelkko/agent-workflow-skills --skill web-data-acquisition
Clone the repo
git clone --depth 1 https://github.com/valtterimelkko/agent-workflow-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for web-data-acquisition

README.md
[![agentmods](https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/web-data-acquisition/github.svg)](https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/web-data-acquisition)
Your own site
<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/web-data-acquisition"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/web-data-acquisition/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.

agentmods 80×15 button for web-data-acquisition

Your own site · 80×15
<a href="https://agentmods.dev/skills/valtterimelkko/agent-workflow-skills/web-data-acquisition"><img src="https://agentmods.dev/badge/skills/valtterimelkko/agent-workflow-skills/web-data-acquisition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 92 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 830 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00092 $0.00830
Opus 5 $0.00046 $0.00415
Sonnet 5 $0.00018 $0.00166
Haiku 4.5 $0.00009 $0.00083

Measured 9d ago against content hash ee47336c7838, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

web-data-acquisition scanned grade A with 0 findings 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 9d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/web-data-acquisition/SKILL.md · 91 lines

How it starts

The opening of the file, as written. The whole thing — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Web Data Acquisition

Use this skill as the first routing layer for public web-data tasks.

It exists to stop the agent from improvising the stack every time. Choose the best local path first, then escalate only when the target is blocked.

This skill routes acquisition, not full research synthesis. For research tiering, think:

  • native web_search / web_fetch for tiny tasks
  • gpt-research for fast 10-20 source synthesis
  • deep-research for heavy 40+ source auditable work

Routing

1. Small public fetches

Use the agent's native web_fetch / web_search tools first for:

  • one page or a handful of pages
  • quick article or docs summarisation
  • simple fact extraction from cooperative sites

Only reach for webfetch-skill if the native web tools are unavailable or there is a specific reason to use that script workflow.

2. Whole-site content crawl / markdown ingestion

Use crawl4ai for:

  • documentation crawling
  • exporting markdown from many pages
  • AI/RAG-ready site ingestion
  • deep crawl with page caps

3. Site mapping / URL discovery

Use katana for:

  • enumerating routes before extraction
  • discovering internal URLs, known files, and JS-linked endpoints
  • understanding site surface before a deeper crawl

4. Structured extraction

Use scrapegraph-ai for:

  • extracting structured JSON-like answers from one page or a small set of pages
  • pricing/contact/product/company extraction
  • cases where brittle selectors are not ideal

5. Anti-bot or JS-rendering problems

Use camofox as the free local fallback when the native path fails because of:

  • Cloudflare or similar bot protection
  • CAPTCHA / challenge pages
  • blank pages / JS-required rendering
  • anti-scraping blocks

6. Paid targeted recovery

Use residential-proxy only when:

  • the native path failed
  • camofox was actually tried and still failed, or the task is a narrow public HTTP endpoint recovery where a browser path is not sufficient
  • the blocked URLs are genuinely high-value
  • the user explicitly approved paid proxy usage

Read the full file on GitHub · 91 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. 9d ago First seen · 91 lines · 92 tokens per session scan A ee47336c7838

Subscribe to this mod's changes

web-data-acquisition is a skill published in the GitHub repository valtterimelkko/agent-workflow-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 92 tokens to every session and 830 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Browser automationResearch
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