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 Bilal140202/the-lord-of-the-skills --skill aiagentwithdhruv__euron-future-proof-automationgit clone --depth 1 https://github.com/Bilal140202/the-lord-of-the-skillsWrote 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/bilal140202/the-lord-of-the-skills/aiagentwithdhruv__euron-future-proof-automation)<a href="https://agentmods.dev/skills/bilal140202/the-lord-of-the-skills/aiagentwithdhruv__euron-future-proof-automation"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/aiagentwithdhruv__euron-future-proof-automation/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/bilal140202/the-lord-of-the-skills/aiagentwithdhruv__euron-future-proof-automation"><img src="https://agentmods.dev/badge/skills/bilal140202/the-lord-of-the-skills/aiagentwithdhruv__euron-future-proof-automation.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 | $0.00030 | $0.02098 |
| Opus 5.5 | $0.00012 | $0.00839 |
| Sonnet 5.5 | $0.00006 | $0.00420 |
| Haiku 4.5 | $0.00003 | $0.00210 |
Grade A, and why
ghost-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 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.
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 — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ghost Browser — AI-Powered Browser Automation
The browser moves on its own. No human needed.
GitHub: https://github.com/aiagentwithdhruv/ghost-browser
Path: Social-Media-Agent-1.0/browser-automation/
Stack: Python 3, Playwright, OpenAI API
What It Does
Automates any browser action with human-like behavior — LinkedIn posting, engagement, job applications, web scraping, stats tracking, and visual demos.
Schema
Inputs
| Name | Type | Required | Description |
|---|---|---|---|
LINKEDIN_LI_AT |
string | For LinkedIn | LinkedIn li_at cookie from DevTools |
TWITTER_AUTH_TOKEN |
string | For Twitter | Twitter auth_token cookie |
TWITTER_CT0 |
string | For Twitter | Twitter ct0 cookie |
YOUTUBE_API_KEY |
string | For YouTube | Google Cloud API key (free) |
OPENAI_API_KEY |
string | For AI comments | GPT-4o-mini for comment/cover letter generation |
Outputs
| Name | Type | Description |
|---|---|---|
| LinkedIn post | Action | Published post with optional image |
| Feed data | JSON | Posts from LinkedIn feed with author, content, URN |
| Job listings | JSON | Jobs from LinkedIn/Indeed with title, company, description |
| Scraped data | JSON/CSV | Data from any website (smart/full/selector modes) |
| Stats | JSON + MD | Followers, views, connections across all platforms |
| Screenshots | PNG | Any URL, full page or element |
Credentials
| Service | How to Get |
|---|---|
| LinkedIn li_at | DevTools → Application → Cookies → linkedin.com |
| Twitter auth_token + ct0 | DevTools → Application → Cookies → x.com |
| YouTube API | Google Cloud Console → YouTube Data API v3 (FREE) |
| OpenAI | platform.openai.com → API Keys |
Cost
| Component | Cost |
|---|---|
| Playwright/Chromium | Free |
| YouTube API | Free (10K units/day) |
| OpenAI (comments) | ~$0.01 per comment |
| LinkedIn/Twitter | Free (cookie auth) |
Scripts Reference
What ships with it
2 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.
- 1mo ago First seen · 223 lines · 30 tokens per session scan A 17cceea0db5f
ghost-browser is a skill published in the GitHub repository Bilal140202/the-lord-of-the-skills (6 stars, last pushed 1mo ago), licensed MIT. It adds 30 tokens to every session and 2,098 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
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feature-demo-recording
Record a demo video of a web feature from a real browser. Two modes -- a NARRATED film where measured voiceover drives the timeline (designed slides, subtitles, punch-in camera, rendered from an HTML timeline), and a SILENT evidence clip for a PR or a QA pass. Use when the user asks to record a video, demo, or screen…
playwright-recording
Record browser interactions as video using Playwright. Use for capturing demo videos, app walkthroughs, and UI flows for Remotion videos. Triggers include recording a demo, capturing browser video, screen recording a website, or creating walkthrough footage.
qa-testing-playwright
Builds and debugs Playwright E2E suites. Use when authoring browser tests, fixing flakes, or hardening Playwright CI and locator strategy.
proof-e2e
Build E2E test specs for critical user journeys — Playwright or Cypress, page objects, setup/teardown, CI config. Use when asked to "write E2E tests", "end-to-end testing", "browser tests", "UI tests", or "Playwright tests".
scrapling
A Python framework for collecting information from websites, including pages whose content is created by JavaScript. It provides CSS and XPath selectors for extracting text, links, and other page data, and includes browser-based fetching for sites with anti-bot checks.