browseros-ai/browseros-agent/monitor-page

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Track changes on a web page by comparing content snapshots over time. Use when the user wants to watch for updates, price drops, stock availability, or content changes.

Install

npx vskill@latest install browseros-ai/browseros-agent/monitor-page

SKILL.md

Monitor Page

When to Use

Activate when the user asks to monitor a page for changes, watch for price drops, track stock availability, detect new content, or be alerted when something changes on a website.

Steps

  1. Clarify what to monitor. Ask the user:
  • What URL to watch
  • What specific content to track (price, stock status, text, any change)
  • How to identify the target content (a specific section, element, or keyword)
  1. Capture the baseline. Navigate to the page and extract the current state:
  • Use navigate_page to load the target URL
  • Use get_page_content or evaluate_script to extract the specific content to track
  • Save the baseline to memory using memory_write with a descriptive key like monitor:{url-slug}:baseline
  1. Check for changes. On subsequent checks:
  • Navigate to the same URL
  • Extract the same content using the same method
  • Compare against the saved baseline
  • Report differences
  1. Report findings:
If changes detected:
## Page Change Detected
**URL:** [url]
**Checked:** [current date/time]
### Changes
- **Before:** [previous value]
- **After:** [current value]
If no changes:
No changes detected on [URL].
Last checked: [current date/time]
Monitoring: [what you're tracking]
  1. Update the baseline after reporting changes, using memory_write to store the new state.

Tips

  • For price monitoring, extract just the price element rather than the full page to avoid false positives from ad changes.
  • Use evaluate_script with specific CSS selectors for precise element tracking.
  • Suggest the user set a reminder to ask you to check again — BrowserOS doesn't yet have scheduled tasks.
  • For stock availability, look for phrases like "In Stock", "Out of Stock", or "Add to Cart" button presence.

Security

  • Security scanPassed, 96 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
35
Repository forks
31
7-day trend score
18

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 25 Mar 2026, 7 months ago.

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