core-agent-browser
Skill1 starsChanged 4 months agoMITView on GitHub
Internal support skill for agent-browser CLI workflows used by rust-learner, docs-researcher, and crate-researcher. Use only when browser automation is explicitly required.
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 17
Use agent-browser directly only when:
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Browser Automation with agent-browser
Priority Note
For fetching Rust/crate information, use this priority order:
- rust-learner skill - Orchestrates actionbook + browser-fetcher
- actionbook MCP - Pre-computed selectors for known sites
- agent-browser CLI - Direct browser automation (last resort)
Use agent-browser directly only when:
- actionbook has no pre-computed selectors for the target site
- You need interactive browser testing/automation
- You need screenshots or form filling
Quick start
agent-browser open <url> # Navigate to page
agent-browser snapshot -i # Get interactive elements with refs
agent-browser click @e1 # Click element by ref
agent-browser fill @e2 "text" # Fill input by ref
agent-browser close # Close browserCore workflow
- Navigate:
agent-browser open <url> - Snapshot:
agent-browser snapshot -i(returns elements with refs like@e1,@e2) - Interact using refs from the snapshot
- Re-snapshot after navigation or significant DOM changes
Commands
Navigation
agent-browser open <url> # Navigate to URL
agent-browser back # Go back
agent-browser forward # Go forward
agent-browser reload # Reload page
agent-browser close # Close browserSnapshot (page analysis)
agent-browser snapshot # Full accessibility tree
agent-browser snapshot -i # Interactive elements only (recommended)
agent-browser snapshot -c # Compact output
agent-browser snapshot -d 3 # Limit depth to 3Interactions (use @refs from snapshot)
agent-browser click @e1 # Click
agent-browser dblclick @e1 # Double-click
agent-browser fill @e2 "text" # Clear and type
agent-browser type @e2 "text" # Type without clearing
agent-browser press Enter # Press key
agent-browser press Control+a # Key combination
agent-browser hover @e1 # Hover
agent-browser check @e1 # Check checkbox
agent-browser uncheck @e1 # Uncheck checkbox
agent-browser select @e1 "value" # Select dropdown
agent-browser scroll down 500 # Scroll page
agent-browser scrollintoview @e1 # Scroll element into viewGet information
agent-browser get text @e1 # Get element text
agent-browser get value @e1 # Get input value
agent-browser get title # Get page title
agent-browser get url # Get current URLScreenshots
agent-browser screenshot # Screenshot to stdout
agent-browser screenshot path.png # Save to file
agent-browser screenshot --full # Full pageWait
agent-browser wait @e1 # Wait for element
agent-browser wait 2000 # Wait milliseconds
agent-browser wait --text "Success" # Wait for text
agent-browser wait --load networkidle # Wait for network idleSemantic locators (alternative to refs)
agent-browser find role button click --name "Submit"
agent-browser find text "Sign In" click
agent-browser find label "Email" fill "user@test.com"Example: Form submission
agent-browser open https://example.com/form
agent-browser snapshot -i
# Output shows: textbox "Email" [ref=e1], textbox "Password" [ref=e2], button "Submit" [ref=e3]
agent-browser fill @e1 "user@example.com"
agent-browser fill @e2 "password123"
agent-browser click @e3
agent-browser wait --load networkidle
agent-browser snapshot -i # Check resultOther versions2 projects use a version of this.
Word for word · 2
- ZhangHanDong/rust-skills★ 1.5k100% same
- actionbook/rust-skills★ 1.5k100% same
Edited · 0
None found.
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository73 other files it gives its agents.
- unsafe-checker/AGENTS.mdAGENTS.md
- activity-tracingSkill
- beadsSkill
- code-analysis-warningsSkill
- coding-guidelinesSkill
- compiler-warningsSkill
- core-actionbookSkill
- core-dynamic-skillsSkill
- core-fix-skill-docsSkill
- csharp-compiler-warningsSkill
- csharp-object-designSkill
- domain-cliSkill
- domain-cloud-nativeSkill
- domain-embeddedSkill
- domain-fintechSkill
- domain-iotSkill
- domain-mlSkill
- domain-webSkill
- dotnet-pinvokeSkill
- dreamSkill
- gitSkill
- ide-warningsSkill
- karpathy-guidelinesSkill
- m01-ownershipSkill
- m02-resourceSkill
- m03-mutabilitySkill
- m04-zero-costSkill
- m05-type-drivenSkill
- m06-error-handlingSkill
- m07-concurrencySkill
- m09-domainSkill
- m10-performanceSkill
- m11-ecosystemSkill
- m12-lifecycleSkill
- m13-domain-errorSkill
- m14-mental-modelSkill
- m15-anti-patternSkill
- mermaidSkill
- meta-cognition-parallelSkill
- modern-csharpSkill
- msbuild-warningsSkill
- mx-creative-keypadSkill
- nuget-warningsSkill
- nullability-warningsSkill
- rcs-warningsSkill
- renpySkill
- rust-call-graphSkill
- rust-code-navigatorSkill
- rust-dailySkill
- rust-deps-visualizerSkill
- rust-google-styleSkill
- rust-learnerSkill
- rust-object-designSkill
- rust-refactor-helperSkill
- rust-routerSkill
- rust-skill-creatorSkill
- rustSkill
- rust-symbol-analyzerSkill
- rust-trait-explorerSkill
- translationsSkill
- The first 60 shown.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

