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Skill scan report

monitor

View on GitHub
8 Info Automated analysis flagged 2 potential risk patterns.

What this skill does

Monitor agent fleet, track trust scores, and manage lifecycle states. It is a tool for fleet management and runtime status tracking, with an optional local dashboard server.

github/leoyeai - data_flow - 2.1k stars

Threatsdata_flow security_policy

Threat analysis

data_flow1 finding
security_policy1 finding

Skill info

Nameleoyeai/monitor
Registrygithub
Versione5199b5
PURLpkg:github/LeoYeAI/openclaw-master-skills@e5199b5?skill=monitor
Stars2.1k

Assessments (2)

data_flow1 finding LOW
LOW

data_flow via local-llm-review

SKILL.md

Fleet data is read from local scan state. Dashboard server (agent-bom serve) runs on localhost and exposes no data externally. No data leaves the machine.
security_policy1 finding LOW
LOW

security_policy via local-llm-review

SKILL.md

Zero credentials required for fleet listing and trust score tracking. Fleet sync reads local scan state.

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Anomity Skill Check badge

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How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of monitor? Report an issue or request a rescan.

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