Trust Signal Breakdown high 6 sub-signals across 6 dimensions
Vulnerability & Safety ×0.25 2.5 CVEs, dependency health, and supply chain integrity
1 of 1 sub-signals with data
Operational Reliability ×0.15 2.5 Uptime, latency, error rates, and incident history
1 of 1 sub-signals with data
Maintenance Activity ×0.15 3.8 Commit recency, release cadence, issue response, CI/CD
1 of 1 sub-signals with data
Adoption ×0.15 0.6 Downloads, stars, dependents, and growth trajectory
1 of 1 sub-signals with data
Transparency ×0.15 2.5 License, documentation, security policy, changelog
1 of 1 sub-signals with data
Publisher Trust ×0.15 0.9 Track record, org maturity, community standing
1 of 1 sub-signals with data
publisher reputation 100% 0.9
Scored across 6 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)
Signal Details from signal_history
VirusTotal Scan 2.5
PENDING
ClawHub submits every skill to VirusTotal on publish. Scanned by 70+ security vendors for malware, trojans, and suspicious patterns.
Source: ClawHub moderation Content Safety 2.5
NO ISSUES Scanned for credential leaks, shell injection, config tampering, base64 payloads, sensitive path access, SOUL.md/AGENTS.md tampering.
Publisher Reputation 3.8
Account age 0.8 years
Public repos 3
Adoption 0.6
Installs 0
Downloads 1,146
Stars 0
Comments 0
Freshness 2.5
Last updated 3d ago
Latest version v1.1.0
Versions published 2
Changelog Present
Transparency 0.9
✓ Has Changelog ✓ No Obfuscation ✓ Has Description ✓ Has Iterated Version ✓ Substantive Description
Trust Assessment AI Assessment
moltaiworld is a 3D voxel sandbox skill published by lynn800741 under an unknown license that enables AI agents to collaboratively build block-based worlds. The publisher has minimal reputation on the platform (0.88/5.00) and the service has not yet gained measurable adoption with zero stars recorded. The unknown licensing status and low publisher track record present uncertainty around long-term support and code provenance, making this suitable only for experimental use cases where dependencies on unproven infrastructure are acceptable.
Generated by Fabric AI · Mar 3, 2026 at 7:29 AM
Score History 3 snapshots
Feb 25 Mar 2
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