job-seeker: Skill for Claude Code

.agents/skills/browser-automation/SKILL.md

browser-automation is a skill for Claude Code from galiprandi/job-seeker. It costs 46 tokens per session (8,144 once invoked), scanned A, original, MIT.

A browser-control workflow for navigating websites, including sites that require a login. It can use a dedicated Chromium browser to click, type, extract information, and work with web applications.

In plain words
What is it for?
Automating website navigation, authenticated data collection, form filling, single-page applications, inboxes, and job-search sites using Playwright-based browser tools.
Why use it?
It handles tasks that cannot be completed through a simple API because they depend on a real browser session and saved login state. It also defines limits, including stopping when a CAPTCHA appears.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

This is galiprandi/job-seeker's own configuration. It tells Claude Code how to work on job-seeker itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything job-seeker configures →

Reuse

Borrowing it

Nothing to install: this file belongs to galiprandi/job-seeker. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/galiprandi/job-seeker/main/.agents/skills/browser-automation/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/galiprandi/job-seeker

Made for: Claude Code.

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 browser-automation

README.md
[![agentmods](https://agentmods.dev/badge/skills/galiprandi/job-seeker/browser-automation/github.svg)](https://agentmods.dev/skills/galiprandi/job-seeker/browser-automation)
Your own site
<a href="https://agentmods.dev/skills/galiprandi/job-seeker/browser-automation"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/browser-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.

agentmods 80×15 button for browser-automation

Your own site · 80×15
<a href="https://agentmods.dev/skills/galiprandi/job-seeker/browser-automation"><img src="https://agentmods.dev/badge/skills/galiprandi/job-seeker/browser-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 46 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 8,144 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 6 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high YARA Match · line 17
    YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).
    Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
  • medium MCP Rug Pull · line 37
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 96
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium Prompt Injection · line 151
    Subtle instructions detected that may alter agent decision-making or introduce hidden biases.
    Fix: Review content for implicit steering or bias. Ensure instructions are explicit and align with the skill's stated purpose.
  • medium Memory Poisoning · line 170
    Skill attempts to fill the context window with filler content, displacing legitimate instructions and safety constraints. This can degrade agent performance or bypass safety boundaries.
    Fix: Implement context-window management that detects and rejects padding or stuffing attempts. Prioritize system instructions over user-injected content.
  • medium Rogue Agent · line 222
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
How audits are shown
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 $0.00046 $0.08144
Opus 5.5 $0.00018 $0.03258
Sonnet 5.5 $0.00009 $0.01629
Haiku 4.5 $0.00005 $0.00814

Measured 2d ago against content hash f4ad96e0b70f, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

browser-automation scanned grade A with 1 finding 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 (scripts/browser.js, scripts/teams.js, scripts/test-find-guide.js), 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Site returns 403 on curl/HTTP but works in browser:** Sites like Reddit block non-browser User-Agents on HTTP APIs (JSON, RSS) but do NOT block the agent-browser session in headed mode. If curl returns 403, do NOT as
.agents/skills/browser-automation/SKILL.md · 522 lines

How it starts

The opening of the file, as written. The whole thing — 522 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Browser Automation

Control a dedicated Chrome browser via agent-browser from the terminal. Token-efficient: semantic snapshots expose interactive elements as stable refs (@eN) instead of verbose accessibility trees or fragile CSS selectors.

Purpose

Operate a real browser session: navigate, click, fill forms, extract data, and call internal site APIs using the browser's cookies. Covers generic browser operations plus site-specific guides (Gmail, LinkedIn, Teams, Jira, Teamtailor, Humand.co) loaded on demand.

Use for: automating web apps that require login, scraping authenticated sites, filling forms, extracting data, navigating SPAs, job search automation, inbox management.

Do NOT use for: desktop apps, mobile emulators, API-only integrations without a browser, or captcha solving (defer to the user).

Command hierarchy (semantic-first)

Choose commands in this order. Each level down is a fallback, not a preference:

  1. App/site keyboard shortcuts — press, keyboard type (see KEYBOARD FIRST below)
  2. Semantic locators — find role|text|label|placeholder <value> <action> (e.g. find role button click --name "Enviar")
  3. Snapshot refs — snapshot -i (interactive elements only) → click @eN / fill @eN
  4. eval / raw JS — LAST RESORT only. Fragile: pages expose decoy elements (e.g. Gmail shows TWO contenteditable boxes — the real body and a Gemini "Describe tu mensaje" field; a .pop() on visible editors pasted into the wrong one and sent blank emails). If you must eval, target by exact aria-label/data-testid, never by position or "last visible".

KEYBOARD FIRST (non-negotiable)

Keyboard navigation is the DEFAULT. Clicks are the FALLBACK. This is not a preference — it is the core operating principle of this skill.

Why keyboard over clicks

  1. Stability: Keyboard shortcuts don't depend on CSS selectors, DOM structure, or [ref=eXXX] identifiers that change on every page mutation. A shortcut that works today will work tomorrow. A selector that works today may break tonight.
  2. Token efficiency: press Enter is 1 command. snapshot + find "Send" + click e42 is 3 commands and a huge snapshot. Shortcuts skip the snapshot-find-click pipeline entirely.
  3. Reliability: Shortcuts fire the app's intended action handler directly. Clicks on synthetic DOM elements may not trigger the right event sequence (React apps, custom widgets, shadow DOM).
  4. Speed: One keypress vs. snapshot + parse + find + click. Less latency, fewer failure points.

Read the full file on GitHub · 522 lines

Files

What ships with it

57 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 Changed · +31 lines · +4 tokens per session scan C → A f4ad96e0b70f
  2. 18d ago Changed · +1 lines scan A → C dc620b070006
  3. 20d ago Changed · +29 lines 739e9f0b0109
  4. 1mo ago Changed · +94 lines 4ec8cab779c3
  5. 1mo ago First seen · 367 lines · 42 tokens per session scan A a8df12976a0c

Subscribe to this mod's changes

browser-automation is a skill published in the GitHub repository galiprandi/job-seeker (58 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 8,144 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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