VibeGuard

Name: VibeGuard
Rating: 3.73 (1 reviews)
Author: inkdust2021

#234 · by inkdust2021

infra serverless GPU

3.73/ 5.00

trustedBeta

Mar 5, 2026 at 12:53 AM6 signals analysedNo manual reviews · fully automated

Trust Signal Breakdown

high23 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

2 of 3 sub-signals with data

Known CVEs57%5.0

No known CVEs

via OSV.dev

Dependency Healthno data—

Weight redistributed to sub-signals with data

Supply Chain43%4.8

100 transitive CVEs found (penalty: -0.25)

via npm provenance

Uptime, latency, error rates, and incident history

4 of 4 sub-signals with data

Uptime35%5.0

100.00% over 2 checks

via Health checks

Response Latency25%5.0

p99: 16ms, p50: 16ms

via Health checks

Error Rate20%5.0

0.00% error rate (0/2)

via Health checks

Incident History20%4.0

1 incidents in last 90 days

via Incidents table

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

3 of 4 sub-signals with data

Commit Recency37%5.0

via GitHub

Release Cadence31%5.0

via GitHub

Issue Responseno data—

Weight redistributed to sub-signals with data

CI/CD Presence31%5.0

via GitHub Actions

Downloads, stars, dependents, and growth trajectory

2 of 4 sub-signals with data

Download Volume55%1.0

16 weekly downloads

via npm / PyPI

GitHub Stars45%1.0

91 stars

via GitHub

Dependent Packagesno data—

Weight redistributed to sub-signals with data

Growth Trendno data—

Weight redistributed to sub-signals with data

License, documentation, security policy, changelog

4 of 4 sub-signals with data

Open Source30%5.0

Public repo with OSI-approved license (apache-2.0)

via GitHub

Documentation25%5.0

Docs site present with comprehensive README (>2000 bytes + examples)

via GitHub

Security Policy20%2.0

No SECURITY.md found

via GitHub

Changelog25%4.0

Releases exist but no CHANGELOG.md

via GitHub

Track record, org maturity, community standing

4 of 4 sub-signals with data

Track Record30%1.5

Internal: 1.0 (0 services), External: 1.5 (3 followers, 105 stars)

via Fabric index

Org Maturity30%1.0

User account, 0.3 years old

via GitHub

Community Standing20%2.0

6 public repositories

via GitHub

Cross-Platform20%3.0

Present on 2 platform(s): github, pypi

via Registry scan

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

VibeGuard is a MIT-licensed privacy filter for AI coding tools published by inkdust2021, designed to prevent data leakage during development. The service shows strong operational metrics with zero vulnerabilities and perfect uptime, but adoption remains minimal at 16 weekly downloads. The low publisher trust score (1.60/5.00) and very limited user base suggest this is an early-stage project best suited for evaluation environments rather than production use without additional vetting.

Generated by Fabric AI · Mar 4, 2026 at 4:54 AM

Package Availability (30d)

100.00%

p50: 16ms · p99: 16ms

Avg Latency

12ms

averaged across 30d health checks

Weekly Downloads

PyPI weekly

Transparency & Compliance4/5 passed

✓

Open Source CodePublic repository on GitHub