@ejazullah/smart-browser-automation

Name: @ejazullah/smart-browser-automation
Rating: 2.99 (1 reviews)
Author: ejazdoinger

#1728 · by ejazdoinger

agent tool-use multi-step

2.99/ 5.00

cautionBeta

Mar 3, 2026 at 7:21 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

medium23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

3 of 3 sub-signals with data

Known CVEs40%5.0

No known CVEs

via OSV.dev

Dependency Health30%5.0

5 dependencies (minimal)

via npm / PyPI

Supply Chain30%5.0

Supply chain analyzed, no transitive CVEs

via npm provenance

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 4 checks

via Health checks

Response Latency25%2.0

p99: 2432ms, p50: 533ms

via Health checks

Error Rate20%5.0

0.00% error rate (0/4)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

Commit recency, release cadence, issue response, CI/CD

0 of 4 sub-signals with data

Commit Recencyno data—

Weight redistributed to sub-signals with data

Release Cadenceno data—

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Issue Responseno data—

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CI/CD Presenceno data—

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Downloads, stars, dependents, and growth trajectory

2 of 4 sub-signals with data

Download Volume67%1.0

1 weekly downloads

via npm / PyPI

GitHub Starsno data—

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Dependent Packagesno data—

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Growth Trend33%1.0

-96.9% week-over-week

via npm

License, documentation, security policy, changelog

0 of 4 sub-signals with data

Open Sourceno data—

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Documentationno data—

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Security Policyno data—

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Changelogno data—

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Track record, org maturity, community standing

0 of 4 sub-signals with data

Track Recordno data—

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Org Maturityno data—

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Community Standingno data—

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Cross-Platformno data—

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Limited data available — 3 of 6 signals pending evaluation

About this score

Scored across 23 sub-signals in 6 dimensionsScoring engine v1 (beta) — actively being expandedPhase 1: Core sub-signal architecture (live)Phase 2: Permission scope & expanded collection (in progress)

Trust AssessmentAI Assessment

A smart AI-driven browser automation library and REST API server using MCP (Model Context Protocol) and LangChain for multi-step task execution. Includes both programmatic library usage and HTTP API server for remote automation.

Package Availability (30d)

100.00%

p50: 533ms · p99: 2432ms

Avg Latency

911ms

averaged across 30d health checks

Weekly Downloads

1-97%

npm weekly

Incidents & Alertslast 90 days

Feb 22@ejazullah/smart-browser-automation added to Trust Index2.83

Showing 1 of 1 events