Trust Signal Breakdown high 23 sub-signals across 6 dimensions
Vulnerability & Safety ×0.25 0.0 CVEs, dependency health, and supply chain integrity
0 of 3 sub-signals with data
Known CVEs no data —
Weight redistributed to sub-signals with data
Dependency Health no data —
Weight redistributed to sub-signals with data
Supply Chain no data —
Weight redistributed to sub-signals with data
Operational Reliability ×0.15 3.8 Uptime, latency, error rates, and incident history
4 of 4 sub-signals with data
Uptime 35% 5.0
100.00% over 4 checks
via Health checks
Response Latency 25% 5.0
p99: 157ms, p50: 142ms
via Health checks
Error Rate 20% 1.0
25.00% error rate (1/4)
via Health checks
Incident History 20% 3.0
3 incidents in last 90 days
via Incidents table
Maintenance Activity ×0.15 3.4 Commit recency, release cadence, issue response, CI/CD
4 of 4 sub-signals with data
Commit Recency 30% 4.0
via GitHub
Release Cadence 25% 2.0
via GitHub
Issue Response 20% 2.0
via GitHub
CI/CD Presence 25% 5.0
via GitHub Actions
Adoption ×0.15 1.0 Downloads, stars, dependents, and growth trajectory
1 of 4 sub-signals with data
Download Volume no data —
Weight redistributed to sub-signals with data
GitHub Stars 100% 1.0
21 stars
via GitHub
Dependent Packages no data —
Weight redistributed to sub-signals with data
Growth Trend no data —
Weight redistributed to sub-signals with data
Transparency ×0.15 4.2 License, documentation, security policy, changelog
4 of 4 sub-signals with data
Open Source 30% 5.0
Public repo with OSI-approved license (mit)
via GitHub
Documentation 25% 5.0
Docs site present with comprehensive README (>2000 bytes + examples)
via GitHub
Security Policy 20% 2.0
No SECURITY.md found
via GitHub
Changelog 25% 4.0
Releases exist but no CHANGELOG.md
via GitHub
Publisher Trust ×0.15 3.0 Track record, org maturity, community standing
4 of 4 sub-signals with data
Track Record 30% 2.5
Internal: 2.0 (1 services), External: 2.5 (102 followers, 104 stars)
via Fabric index
Org Maturity 30% 5.0
User account, 13.2 years old
via GitHub
Community Standing 20% 3.0
31 public repositories
via GitHub
Cross-Platform 20% 1.0
Present on 1 platform(s): github
via Registry scan
Scored across 23 sub-signals in 6 dimensions Scoring engine v1 (beta) — actively being expanded Phase 1: Core sub-signal architecture (live) Phase 2: Permission scope & expanded collection (in progress)
Trust Assessment AI Assessment
mcp-console-automation is an MIT-licensed MCP server by ooples providing 40 tools for AI-driven terminal automation, including SSH, session management, and background job control. The service shows strong operational reliability (100% uptime) and transparent documentation, but has zero recorded weekly downloads despite claiming production-ready status. The lack of adoption data and the broad scope of privileged operations (SSH access, background jobs) warrant careful evaluation before deployment in production environments.
Generated by Fabric AI · Mar 4, 2026 at 4:18 AM
Package Availability (30d)
100.00%
p50: 142ms · p99: 157ms
Avg Latency
107ms
averaged across 30d health checks
Weekly Downloads
—
no package registry data
Transparency & Compliance 4/5 passed
Incidents & Alerts last 90 days
Score History 5 snapshots
Feb 24 Mar 1
Data Sources 6 indexed
◎
OSV.dev CVE database · vulnerability scanning for npm & PyPI packages
◈
GitHub API Commits, issues, releases, repo metadata, transparency checks
⬡
npm Registry Package metadata, weekly downloads, maintainers, dependencies
⬡
PyPI Package metadata, weekly downloads, dependency tree
△
HTTP Health Checks 15-min pings · uptime, latency, status monitoring
◎
PyPI Stats Download statistics and trends
Version History
VERSION RELEASED
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