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Skill scan report

channel-message-flows

View on GitHub
0 Clean No risk patterns detected.

What this skill does

The skill is related to running QA Lab channel message flow evidence for Telegram delivery sequencing. It is used to test and verify message flow behavior in a QA environment using mock or real Telegr

github/openclaw - general - 385.8k stars

ThreatsNo threats detected

Threat analysis

No risk categories triggeredclean

Skill info

Nameopenclaw/channel-message-flows
Registrygithub
Versionc39abce
PURLpkg:github/openclaw/openclaw@c39abce?skill=channel-message-flows
Stars385.8k

Assessments

No risk patterns detected in this scan. A clean automated scan is a good signal, not a guarantee.

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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 channel-message-flows? Report an issue or request a rescan.

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