Agentifact assessment — independently scored, not sponsored. Last verified Mar 6, 2026.
Skyvern
Skyvern is an LLM and computer vision-powered browser automation platform that replaces fragile XPath and CSS selector scripts with AI that understands pages visually, the same way humans do. It works on websites it has never seen before without any per-site customization, supports 2FA/TOTP, CAPTCHA solving, and proxy networks. Skyvern achieved 85.85% on WebVoyager and excels at form-filling tasks. An open-source version is free; the cloud service is usage-based at $0.05 per step.
Viable option — review the tradeoffs
You need to automate multi-step workflows across websites you've never tested before, without writing custom selectors or maintaining brittle XPath scripts that break when sites update their UI.
Fast iteration and low maintenance compared to Selenium/Playwright. Achieves 85.85% on WebVoyager benchmarks and excels at form-filling. Trade-off: LLM reasoning adds latency (seconds per step) and per-step costs ($0.05). Livestream debugging helps when tasks fail, but you're relying on vision models to parse complex layouts—occasional misclicks on dense or unusual UIs.
You're automating workflows that require 2FA, TOTP, email verification, or SMS codes—scenarios where traditional automation tools force you to build fragile workarounds or disable security.
2FA flows work reliably out of the box. This is a major advantage over Selenium and many competing tools. Expect the agent to pause and wait for time-based codes or email links as needed.
You need to automate high-volume, repetitive tasks (e.g., invoice downloads, data extraction, form submissions) across many websites, and you want to reduce operational costs for repeated runs.
Cost-effective at scale once prompt caching is live. Current per-step pricing is reasonable for moderate volumes; high-frequency tasks (100s per day) will benefit most from caching. Livestream and video recording (new in late 2025) help debug failures in production.
Latency and cost per step
Each step involves LLM reasoning and vision processing, adding 1–5 seconds per action. At $0.05/step, a 20-step workflow costs $1. For high-frequency, low-latency use cases (e.g., sub-second response times), this is not a fit.
Vision model limitations on complex or unusual layouts
Skyvern 'sees' pages like a human, but vision models can misidentify interactive elements on dense, heavily styled, or non-standard UIs (e.g., custom canvas-based interfaces, unusual form layouts). Livestream debugging helps catch these, but expect occasional misclicks on edge-case designs.
Trust Breakdown
What It Actually Does
Skyvern automates web tasks like form-filling and data extraction by using AI to visually understand webpages instead of relying on fragile code selectors. It handles security challenges like two-factor authentication and CAPTCHAs, and works on unfamiliar sites without manual setup.
Skyvern is an LLM and computer vision-powered browser automation platform that replaces fragile XPath and CSS selector scripts with AI that understands pages visually, the same way humans do. It works on websites it has never seen before without any per-site customization, supports 2FA/TOTP, CAPTCHA solving, and proxy networks. Skyvern achieved 85.85% on WebVoyager and excels at form-filling tasks.
An open-source version is free; the cloud service is usage-based at $0.05 per step.
Fit Assessment
Best for
- ✓browser-automation
Score Breakdown
Protocol Support
Capabilities
Governance
- permission-scoping