Mar 3, 2026 at 7:21 AM6 signals analysed53 commits (90d)No manual reviews · fully automated Trust Signal Breakdownhigh3 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
3 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
0 of 0 sub-signals with data
Commit recency, release cadence, issue response, CI/CD
0 of 0 sub-signals with data
Downloads, stars, dependents, and growth trajectory
0 of 0 sub-signals with data
License, documentation, security policy, changelog
0 of 0 sub-signals with data
Track record, org maturity, community standing
0 of 0 sub-signals with data
About this score
Scored across 3 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
MCP server for ESLint that enables AI agents to lint code, detect issues, and apply formatting rules through the Model Context Protocol.
Package Availability (30d)
100.00%
p50: 265ms · p99: 310ms
Avg Latency
237ms
averaged across 30d health checks
Weekly Downloads
23.0k+8%
npm weekly
Transparency & Compliance4/5 passed
Incidents & Alertslast 90 days
Score History24 snapshots
Feb 21Mar 1
Community & Ecosystemadoption signals
Supply Chain & Dependenciestrust chain
Showing 3 of 3 dependencies Data Sources6 indexed
◎
OSV.devCVE database · vulnerability scanning for npm & PyPI packages
◈
GitHub APICommits, issues, releases, repo metadata, transparency checks
⬡
npm RegistryPackage metadata, weekly downloads, maintainers, dependencies
⬡
PyPIPackage metadata, weekly downloads, dependency tree
△
HTTP Health Checks15-min pings · uptime, latency, status monitoring
◎
PyPI StatsDownload statistics and trends
Version Historyscore per release
VERSIONRELEASEDSCOREDELTA
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