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Skill scan report

reepl

View on GitHub
4 Info Automated analysis flagged 1 potential risk pattern.

What this skill does

LinkedIn and Twitter content management via Reepl's MCP integration. The skill allows users to create and schedule posts, manage drafts, generate AI images, and maintain a voice profile.

github/leoyeai - Information Disclosure - 2.1k stars

ThreatsInformation Disclosure

Threat analysis

Information Disclosure1 finding

Skill info

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

Assessments (1)

Information Disclosure1 finding LOW
LOW

Information Disclosure via local-llm-review

SKILL.md

The skill's metadata includes a reference to an external GitHub commit: 'https://github.com/openclaw/skills/commit/ea60358a00f005f1fc838f77ad68bba4e14eb83e'. While this is not inherently malicious, it

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[![Anomity Skill Check](https://anomity.ai/skills/badge.svg)](https://anomity.ai/skills/github/leoyeai/reepl/)
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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 reepl? Report an issue or request a rescan.

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