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Showing 2 resources for "browser-automation"
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All 2 results are trusted trust — check install risk per entry.

Rollout signal scan

1 rollout risk signal in current results

Biggest gaps: metadata review. 0 entries have 2+ required gaps.

2 scanned

Install payload

Install payload is broadly covered in current results.

good

100% (2/2)

Adoption queue

Browse adoption queue · balanced

0/2 visible results are ready for staged adoption under this preset.

ready 0caution 2hold 0

Browser Agent Workflow Automation Skill

1 blockers: Metadata review

caution

70/100

Request metadata review from maintainers or internal owners.

skills/browser-agent-workflow-automation · trust trusted · confidence 83%

Decision confidence

Decision confidence scan · balanced

2/2 results are high-confidence for the selected preset.

high 2medium 0low 0

Freshness distribution

100% of this view is aging or stale

Median age 109 days; 0 fresh of 2 scanned. Re-verify the oldest entries.

median 109d

Aging

91–180 days

100%

2 entries

Stale

> 180 days

0%

0 entries

Build robust browser automation workflows for AI agents with deterministic selectors, retries, and safe action boundaries.

Level:advancedType:generalVerified:draft
Safety ✓ Privacy ✓

Build resilient browser automations using Playwright MCP with robust selectors, retries, and deterministic task execution.

Level:advancedType:generalVerified:draft
Safety ✓ Privacy ✓