Kane CLI vs Skyvern for verification
Skyvern automates browser workflows and scraping with LLMs and vision. Kane CLI takes a plain-English objective, drives a real Chrome browser, self-heals on UI changes, and returns a verified pass or fail with evidence. Free to install.
or read the documentation
Why teams choose Kane CLI over Skyvern for testing
Skyvern is built for autonomous workflow automation: fill this form, run this task, scrape this site, across many pages without per-site scripts. That is a different job from proving a feature works.
Kane CLI is built for verification. You give it intent, it drives a real Chrome browser, adapts when the UI shifts, asserts the result, and returns a deterministic pass or fail with video evidence and standard CI exit codes.
It is also agent-native: the --agent flag emits structured NDJSON, and any validated flow exports to native Playwright with one command.
Kane CLI vs Skyvern
Both drive real browsers with AI. One returns a verified test result.
| Capability | Kane CLI (TestMu AI) | Skyvern |
|---|---|---|
| Primary purpose | Deterministic browser testing and verification | Autonomous workflow automation and scraping |
| How you drive it | Plain-English objectives from any terminal | Prompts, workflow blocks, and an API |
| Verified pass or fail | Built-in assertions, returns pass or fail | No test pass or fail contract |
| Element targeting | Natural-language intent, vision-grounded | LLM plus computer vision |
| Agent-native output | --agent emits structured NDJSON | Python and API integration |
| CI exit codes | 0 pass, 1 fail, 2 error, 3 timeout | |
| Evidence and reporting | Video, step trace, shareable links, dashboard | Run logs and outputs |
| Test Manager sync | Every run syncs automatically | |
| Native Playwright export | One command to export Playwright code | |
| Run model | Local Chrome free, cloud when you scale | Self-host or cloud API |
What you get with Kane CLI
A test contract, agent-native output, and evidence on every run.
A verdict, not a task summary
Skyvern finishes a workflow and hands back what it scraped or did. Kane CLI checks each step against built-in assertions and returns a clean pass or fail, so the run is a verifiable test result.
Objectives, not workflow blocks
No prompts to tune per site and no blocks to wire together. Describe the journey once in plain English and Kane CLI plans the steps, drives real Chrome, and asserts the outcome.
Self-heals toward an assertion
When the frontend shifts, Kane CLI adapts on its own and pushes through up to 50 steps, but it keeps driving toward a checked outcome rather than just completing an open-ended task.
Agent-native pass or fail
The --agent flag emits structured NDJSON an AI coding agent parses directly, surfacing the verdict and a failure screenshot rather than only the run output of an autonomous job.
CI-ready exit codes
Standard exit codes break a build on a real failure with no custom scripting: 0 pass, 1 fail, 2 error, 3 timeout. A scraping or RPA run gives you data, not a pipeline gate.
Own the Playwright code
Export any validated flow to native Playwright and keep runnable code in your repo, instead of a workflow locked inside one autonomous-automation platform.
Build up confidence locally
Start in your terminal
Validate on the cloud
Release with confidence
Built for agents and humans, on one engine
Kane CLI and KaneAI share the same automation engine and dashboard.
Two jobs, drawn clearly
Skyvern executes autonomous workflows and scraping. Kane CLI verifies that a flow behaves correctly, and as the terminal-native companion to KaneAI it lets humans run from the shell and agents run through --agent, all on one dashboard.
Close the loop with a check
An autonomous runner completes the task and moves on. Kane CLI verifies generated code in a real browser before a PR opens, so what an agent ships is proven, not just executed.
Replayable proof of correctness
Run logs tell you a workflow finished. Kane CLI produces a persistent video, a step trace, and a replay link that shows the assertion held, ready to drop into a PR or bug report.
Switch to Kane CLI in three steps
Install
Run npm install -g @testmuai/kane-cli, then sign in with your TestMu AI account. No server or workflow platform to self-host first.
Describe what to verify
Write the journey and its expected outcome in plain English, not a chain of workflow blocks. Run it from the terminal or hand it to your AI coding agent with the --agent flag.
Get a verdict, not just output
Kane CLI runs each step against built-in assertions and hands back a deterministic pass or fail, with a video, a step trace, and a replay link to share.
Get Started With Kane CLI
🎉 Launch offer: Bonus credits for the first 3 months on paid plans
Choose the right plan for you
Local test authoring via CLI
Auto-heal & vision
View test cases on UI
Test Manager
Free
$0
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$19
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Launch: 4,000 Credits (+100%)
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Pro
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Launch: 15,000 Credits (+50%)
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Enterprise
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Choose the right plan for you
Free
$0
/month
200 Credits
Resets in every
30 days
Starter
$19
/month
2000 Credits
Launch: 4,000 Credits (+100%)
Bonus for first 3 months
Pro
$99
/month
10,000 Credits
Launch: 15,000 Credits (+50%)
Bonus for first 3 months
Enterprise
Get access to solutions built on Enterprise-Grade Security, Privacy, and Compliances.
Need more credits?
Got a bigger use case in mind?
Let’s talk
Get the technical rundown
Documentation
Everything you need to install, configure, and run Kane CLI in under 2 minutes.
Frequently asked questions
Skyvern is built to automate browser workflows and scrape sites autonomously, driving tasks with LLMs and computer vision through prompts, workflow blocks, and an API. It completes work; it does not judge whether a feature is correct. Kane CLI is built for verification: it takes a plain-English objective, drives a real Chrome browser, self-heals on UI changes, and returns a deterministic pass or fail backed by built-in assertions, with standard CI exit codes.
Yes, when your goal is checking that a web app actually works rather than running large-scale RPA or data extraction. Skyvern is purpose-built to execute autonomous tasks at scale and hand back the scraped output. Kane CLI is the better fit when you need a pass or fail test contract, agent-native NDJSON, replayable evidence, and a result a teammate can verify.
Yes. Where Skyvern exposes its runs through a Python SDK and REST API geared to task automation, Kane CLI adds an --agent flag that emits structured NDJSON, so Claude Code, Cursor, Codex, or Gemini can read the pass or fail, open a screenshot on failure, and decide the next move. Point your agent at the published Kane CLI guide and it installs, authenticates, and drives the browser on its own.
Yes. Any validated flow exports to native Python Playwright with one command. Instead of a workflow definition that lives inside one platform, you keep ownership of real, runnable automation code you can commit and edit whenever you want.
Yes, and it is designed to gate a pipeline rather than just run a task. Authenticate with your TestMu AI credentials, pass --headless and --timeout, and branch on the exit code: 0 on pass, 1 on fail, 2 on setup or auth errors, and 3 on timeout. An autonomous workflow runner gives you output to inspect; Kane CLI gives you a build-breaking verdict.
The CLI is free to install and use, with no self-hosting to stand up first. Local Chrome runs are free; cloud runs on the TestMu AI grid are billed against your TestMu AI plan. Start on the free tier and verify a flow end to end without a credit card.
Teach your agent the right skills
Point your AI coding agent at the Kane CLI guide and it will install, authenticate, and run verified browser flows on its own.
Point your agent to: testmuai.com/kane-cli/agents.md