Skyvern is a browser automation system that uses language models and computer vision to understand websites and carry out workflows through a Playwright-compatible SDK or a no-code builder. Technical and non-technical users employ it to automate manual tasks across websites without maintaining brittle, site-specific selectors. The catalogue entries provide skills, instructions, and an MCP integration for using Skyvern.
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.
npx agentmods add skills/skyvern-ai/skyvern/qanpx skills add Skyvern-AI/skyvern --skill qagit clone --depth 1 https://github.com/Skyvern-AI/skyvernWrote 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.
[](https://agentmods.dev/skills/skyvern-ai/skyvern/qa)<a href="https://agentmods.dev/skills/skyvern-ai/skyvern/qa"><img src="https://agentmods.dev/badge/skills/skyvern-ai/skyvern/qa.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.03893 |
| Opus 5 | $0.00016 | $0.01946 |
| Sonnet 5 | $0.00007 | $0.00779 |
| Haiku 4.5 | $0.00003 | $0.00389 |
Grade A, and why
qa 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 7d ago.
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.
Use the repo's documented auth scheme and local base URL. Use `curl`, the repo SDK, or a small The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 7d ago First seen · 471 lines · 33 tokens per session scan A 5645d9d7c393
qa is a skill published in the GitHub repository Skyvern-AI/skyvern (22,936 stars, last pushed today), licensed AGPL-3.0. It adds 33 tokens to every session and 3,893 once invoked, about $0.0002 per session on Opus 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.
Other skills, from other repositories
playwright-component-testing
Set up component testing with Playwright using a story gallery — scaffold stories and a gallery dev page driven by the built-in mount fixture, no dedicated component-testing runtime. Use when asked to test React or Vue components in isolation with Playwright, or to migrate off @playwright/experimental-ct-react / -vue.
visual-verify-ui
Wraps the browser tool into a dedicated visual QA testing skill for frontend work.
software-developer
Operates as an autonomous software engineer, capable of writing code, running tests, and managing git repositories.
webapp-testing
Test web app UI using Browser MCP and Storybook.
experiment-loop
Autonomous benchmark-driven experiment loop: propose a change, measure the metric, keep what improves it, revert what doesn't, repeat. Git is the ledger — every kept improvement is a commit. Every discarded attempt is a clean revert.
sw-best-practices
Service Worker practical specifications for the current Magic Web implementation. Covers static resource partitioning, read-only API caching, request tagging, server-side kill/off takeover for /sw.js, and emergency rollback environment variables.