2.33/ 5.00
cautionBeta
Mar 4, 2026 at 4:17 AM6 signals analysedNo manual reviews · fully automated
Trust Signal Breakdown
high6 sub-signals across 6 dimensions

CVEs, dependency health, and supply chain integrity

1 of 1 sub-signals with data

virustotal scan100%2.5

Uptime, latency, error rates, and incident history

1 of 1 sub-signals with data

content safety100%2.5

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

1 of 1 sub-signals with data

freshness100%3.4

Downloads, stars, dependents, and growth trajectory

1 of 1 sub-signals with data

adoption100%0.6

License, documentation, security policy, changelog

1 of 1 sub-signals with data

transparency100%2.5

Track record, org maturity, community standing

1 of 1 sub-signals with data

publisher reputation100%2.1
About this score
Scored across 6 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)
Signal Detailsfrom signal_history
VirusTotal Scan2.5
PENDING

ClawHub submits every skill to VirusTotal on publish. Scanned by 70+ security vendors for malware, trojans, and suspicious patterns.

Source: ClawHub moderation
Content Safety2.5
NO ISSUES

Scanned for credential leaks, shell injection, config tampering, base64 payloads, sensitive path access, SOUL.md/AGENTS.md tampering.

Publisher Reputation3.4
Account age1.1 years
Public repos9
Adoption0.6
Installs0
Downloads928
Stars0
Comments1
Freshness2.5
Last updated1d ago
Latest versionv0.1.0
Versions published1
ChangelogPresent
Transparency2.1
5/5 checks passed100%
Has Tags Has Changelog No Obfuscation Has Description Substantive Description
Trust AssessmentAI Assessment

samma-suit is a security governance skill published by OneZeroEight-ai on clawhub under an unknown license that adds eight control layers (budget limits, permissions, audit logs, kill switch, identity signing, skill vetting, process isolation, and gateway protection) to OpenClaw agents. The composite score of 2.33/5.00 reflects mixed trust signals, with the most concerning being extremely low adoption (0 stars, 0.57/5.00) and weak publisher reputation (2.06/5.00), suggesting this security tooling lacks community validation. Installing security controls from an unproven publisher with no adoption history presents a trust paradox—deploying unvetted security software to secure your agent infrastructure.

Generated by Fabric AI · Mar 4, 2026 at 4:17 AM

Incidents & Alertslast 90 days
Feb 25Trust score increased by 2.032.03
Feb 25Trust score increased by 2.032.03
Showing 2 of 2 events
Score History4 snapshots
5.003.752.501.250.00
Feb 25Mar 2
Data Sources4 indexed

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