chrome-control

A workflow for turning YouTube videos into structured Markdown files. YouTube is a video-sharing website, and a transcript is the written version of spoken video content.

In plain words
What is it for?
Use it to extract and update video details, transcripts, summaries, and selected comment analysis.
Why use it?
It removes the repeated manual work of checking existing files, extracting video data, and validating summaries, transcripts, and comments.

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/vre/flow-state/chrome-control
Any agent
npx skills add vre/flow-state --skill chrome-control
Clone the repo
git clone --depth 1 https://github.com/vre/flow-state

Made for: Claude Code, Codex.

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 639 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. 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 $0.00029 $0.00639
Opus 5 $0.00015 $0.00319
Sonnet 5 $0.00006 $0.00128
Haiku 4.5 $0.00003 $0.00064

Measured 2d ago against content hash 96639901ffb3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

chrome-control 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 2d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (chromectl_daemon.py, chromectl.py, injection_defense.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

chrome-control/SKILL.md · 89 lines

How it starts

The opening of the file, as written. The whole thing — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chrome Control

Control Chrome via CDP. Connects to user's running Chrome — all tabs, cookies, logins accessible.

Prerequisites

User must enable chrome://inspect/#remote-debugging in Chrome.

The daemon starts automatically on first command. No explicit start needed. User clicks Allow once on the Chrome permission dialog.

Chrome pops a permission dialog on every new WebSocket connection. The daemon holds that single connection open so the user clicks Allow once and all subsequent CLI calls go through without prompts. Each command is a one-shot call; the caller does not hold any connection. The daemon idles out after 5 min of no commands. Unix socket: /tmp/chromectl-{uid}.sock.

If connection fails → tell user to check remote debugging is enabled, or offer legacy mode (launch).

Tool responses are sanitized: prompt-injection markers in page content are stripped before reaching the LLM.

Commands

chromectl.py list
chromectl.py open https://example.com
chromectl.py status
chromectl.py targets
chromectl.py stop

Use --json for machine-parseable JSON output (default is human-readable).

Target commands

All target commands: chromectl.py TARGET COMMAND [ARGS]

Target ID from list/open output. Prefix match OK (e.g. 88FA instead of full 32-char ID).

chromectl.py ABC123 eval "document.title"
chromectl.py ABC123 screenshot -o page.png [--full-page]
chromectl.py ABC123 console-tail [--for 30]
chromectl.py ABC123 navigate https://example.com

DOM helpers

Shorthands for common eval patterns. Selectors are CSS.

  click/check/uncheck/highlight SELECTOR
  submit/clear FORM
  type/fill SELECTOR TEXT
  select SELECTOR VALUE
  get-text/get-html/get-value/exists/count/get-texts SELECTOR
  get-attr SELECTOR ATTR
  scroll-to/wait-for/wait-hidden SELECTOR
  wait-text SELECTOR TEXT
  navigate URL
  wait-url PATTERN
  scroll-up/scroll-down [PIXELS]
  scroll-by X Y
  inject-css CSS
  reload/back/forward/get-title/get-url/scroll-top/scroll-bottom

Read the full file on GitHub · 89 lines

Files

What ships with it

6 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.

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. 2d ago First seen · 89 lines · 29 tokens per session scan A 96639901ffb3

Subscribe to this mod's changes

chrome-control is a skill published in the GitHub repository vre/flow-state (12 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 639 once invoked, about $0.0001 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 2026-08-30.

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