Agent skill

Browser Automation

by coco-research in coco-research/coco

A skill your agent uses when the agent must open a URL, fill a form, click through a flow, screenshot a page, or extract data from a live page.

Custom licenceAuto-check passedProductivity & Automation

Install Browser Automation

skills CLI
$ npx skills add coco-research/coco --skill browser-automation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install coco-research/coco browser-automation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/coco-research/coco.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/browser-automation .claude/skills/browser-automation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
browser-automation
GitHub stars
482
Token cost
~2.3k tokens
SKILL.md length
410 words
Files
1
Skills in repo
57
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when the agent must open a URL, fill a form, click through a flow, screenshot a page, or extract data from a live page.

  • Works in 4 steps: Navigate — Open a URL → Snapshot — Get @e refs for interactive… → Interact — Use refs to click, fill, select → …
  • The agent must open a URL
  • SKILL.md covers Core Workflow (Both Providers), Provider 1: agent-browser…, Provider 2: agentic-browser… and Common Patterns (Both Providers)
  • Calls jq, curl and npm; reaches site-a.com and site-b.com

What it does

Browser Automation is an agent skill from coco-research/coco. Use when the agent must open a URL, fill a form, click through a flow, screenshot a page, or extract data from a live page. Covers two providers (agent-browser local CLI, agentic-browser cloud) and the shared @e ref workflow.

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Browser automation. The repository describes itself as: CoCo Super Intelligence is the orchestration layer that turns Claude Code, Cursor, or Codex into an engineering department: a routed advisory board, 226 skills, 386 commands…

When your agent uses it

  • The agent must open a URL
  • Click through a flow
  • Screenshot a page
  • Extract data from a live page

Example prompts

  • “/browser-automation”

Requirements

  • Node.js
  • Pre-approved tools (allowed-tools): Bash(agent-browser:*), Bash(infsh *)

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Navigate — Open a URL
  2. Snapshot — Get @e refs for interactive elements
  3. Interact — Use refs to click, fill, select
  4. Re-snapshot — After navigation or DOM changes, get fresh refs

What it can do on your machine

Read from SKILL.md and the folder at commit 2ddb559. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(agent-browser:*)
    • Bash(infsh *)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq
    • curl
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • site-a.com
    • site-b.com
    • cli.inference.sh

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Browser Automation loads about 2.3k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 410 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 410 words (~2,319 tokens).

“Browser automation for AI agents with two provider options. Both share the same core workflow: navigate, snapshot, interact using @e refs, re-snapshot after changes.”

— opening of SKILL.md by coco-research, Custom licence
name
browser-automation
allowed-tools
Bash(agent-browser:*), Bash(infsh *)
domain
engineering

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/browser-automation of coco-research/coco.

Open the folder on GitHubat commit 2ddb559

Compare with similar skills

Browser Automation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Browser Automation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Browser Automation this skillcoco-research/coco482—~2.3kAutomated safety check: PassCustom licence
Agent Browserquran/quran.com-frontend-next1.9k42 repos~3.3kAutomated safety check: PassNone
Dev-Browser CLI AutomationSawyerHood/dev-browser6.7k1 repos~455Automated safety check: PassMIT
Agent Browsersuperagent-ai/grok-cli3.5k1 repos~633Automated safety check: PassMIT
Browser Automationopenclaw/openclaw392k—~2.9kAutomated safety check: PassMIT
Camoufox CLIBin-Huang/camoufox-cli3501 repos~4.5kAutomated safety check: PassMIT

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Questions about Browser Automation

What does Browser Automation do?

A skill your agent uses when the agent must open a URL, fill a form, click through a flow, screenshot a page, or extract data from a live page. Browser Automation is an agent skill from coco-research/coco. Use when the agent must open a URL, fill a form, click through a flow, screenshot a page, or extract data from a live page.

When should I use Browser Automation?

Browser Automation fits situations like: the agent must open a URL; click through a flow; screenshot a page; extract data from a live page.

How do I install Browser Automation in Claude Code?

Run `npx skills add coco-research/coco --skill browser-automation -a claude-code`. Or copy the skill folder (skills/browser-automation in coco-research/coco) into .claude/skills/browser-automation in your project. Claude Code loads it when a task matches its description.

How do I install Browser Automation in Codex?

Run `npx skills add coco-research/coco --skill browser-automation -a codex`. Or copy the skill folder (skills/browser-automation in coco-research/coco) into .agents/skills/browser-automation in your project. Codex loads it when a task matches its description.

Can I use Browser Automation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add coco-research/coco --skill browser-automation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/browser-automation, .gemini/skills/browser-automation, .github/skills/browser-automation and .opencode/skills/browser-automation in your project.

What does Browser Automation need to run?

Going by SKILL.md and its folder, Browser Automation needs the command-line tools its instructions call (jq, curl and npm). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Bash(agent-browser:*), Bash(infsh *).

Does Browser Automation access the network?

SKILL.md names 3 domains. In commands or code: site-a.com, site-b.com and cli.inference.sh; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Browser Automation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Browser Automation use?

Browser Automation has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Browser Automation use?

About 2.3k tokens (SKILL.md is roughly 9.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Browser Automation?

Skills that share tags, products or a category with Browser Automation: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Dev-Browser CLI Automation (SawyerHood/dev-browser, 6.7k stars), Agent Browser (superagent-ai/grok-cli, 3.5k stars) and Browser Automation (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Browser Automation?

coco-research (a GitHub user) maintains it in coco-research/coco, which has 482 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on October 8, 2026.

Source: coco-research/coco on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.