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 Pranjay-kumar/universal-data-acquisition-pipeline-skill --skill data-acquisition-browsergit clone --depth 1 https://github.com/Pranjay-kumar/universal-data-acquisition-pipeline-skillWrote 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/pranjay-kumar/universal-data-acquisition-pipeline-skill/data-acquisition-browser)<a href="https://agentmods.dev/skills/pranjay-kumar/universal-data-acquisition-pipeline-skill/data-acquisition-browser"><img src="https://agentmods.dev/badge/skills/pranjay-kumar/universal-data-acquisition-pipeline-skill/data-acquisition-browser/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/pranjay-kumar/universal-data-acquisition-pipeline-skill/data-acquisition-browser"><img src="https://agentmods.dev/badge/skills/pranjay-kumar/universal-data-acquisition-pipeline-skill/data-acquisition-browser.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 | $0.00072 | $0.01037 |
| Opus 5 | $0.00036 | $0.00518 |
| Sonnet 5 | $0.00014 | $0.00207 |
| Haiku 4.5 | $0.00007 | $0.00104 |
Grade A, and why
data-acquisition-browser 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Acquisition Browser
Act as the browser acquisition specialist. Use Patchright for warm-session capture when a normal browser must mint cookies or storage state before API endpoints are visible. Use Playwright for ordinary rendered-DOM fallback when structured HTTP probes are insufficient and no warm browser context is needed.
When the user asks for page loads only or "no API", use Patchright as a renderer and extract DOM/JSON-LD/meta/visible rows only. Do not harvest, replay, or recommend structured endpoints in that mode.
Shared Core
Read from ../data-acquisition-core/references/:
source-access.mdplaywright-rendered-dom.mdprobing.mdcompliance-boundaries.mdoutput-contracts.md
Helpers
Use scripts/patchright_cookie_endpoint_probe.mjs for warm-session cookie/storage generation and endpoint discovery. Use scripts/patchright_page_dom_probe.mjs for Patchright page-load-only DOM extraction. Use scripts/playwright_probe.mjs only for ordinary public rendered-DOM fallback.
From the repo root:
npm install
npx patchright install chrome
npm run probe:patchright -- "https://example.com/public-category" "outputs/example-patchright-endpoints.json"
The Patchright helper opens a persistent Chrome context, lets the page create ordinary browser-issued cookies/storage state, records JSON/API/XHR-looking requests and responses, saves local storage state under auth/, and writes a redacted endpoint report.
Page-load-only mode:
$env:PATCHRIGHT_HEADLESS = "0"
npm run probe:patchright-page -- "https://example.com/category" "outputs/example-page-dom.json"
This mode records rendered page metadata, JSON-LD, canonical URL, visible text, candidate links, product/listing-like DOM nodes, and a screenshot. It sets api_endpoint_discovery: false and replay_attempted: false.
Useful options:
$env:PATCHRIGHT_STORAGE_STATE = "auth\target-storage-state.json"
$env:PATCHRIGHT_USER_DATA_DIR = "auth\target-profile"
$env:PATCHRIGHT_HEADLESS = "0"
npm run probe:patchright -- "https://example.com/category" "outputs/target-endpoints.json"
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 95 lines · 72 tokens per session scan A fa9902c00a55
data-acquisition-browser is a skill published in the GitHub repository Pranjay-kumar/universal-data-acquisition-pipeline-skill (2 stars, last pushed 3mo ago), licensed MIT. It adds 72 tokens to every session and 1,037 once invoked, about $0.0004 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.
Other skills, from other repositories
qiaomu-opencli-explorer
A guide for creating OpenCLI adapters for websites. An adapter is code that lets a command-line tool communicate with a particular website’s interfaces and data.
geocode-get-geocode
Converts a free-text address into latitude and longitude coordinates.
useragent-get-useragent
Parses a user agent string and returns structured information about the browser, OS, device, and bot status.
cm-browse
Use when you need visual QA, screenshots, or post-deploy smoke testing through a real browser with Playwright.
neo
Browse websites, read web pages, interact with web apps, call website APIs, and automate web tasks. Use Neo when: user asks to check a website, read a web page, post on social media (Twitter/X), interact with any web app, look up information on a specific site, scrape data from websites, automate browser tasks, or…
wechat-download
A guide for downloading, archiving, crawling, scraping, or exporting articles from WeChat official accounts. WeChat is a Chinese messaging and publishing platform.