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Skill scan report

unipile-linkedin-sdk

View on GitHub
35 Medium Automated analysis flagged 2 potential risk patterns.

What this skill does

LinkedIn integration via Unipile's official Node.js SDK for messaging, profile retrieval, post interactions, and connection management.

github/leoyeai - Privilege Escalation - 2.1k stars

ThreatsPrivilege Escalation Security Misconfiguration

Threat analysis

Privilege Escalation1 finding
Security Misconfiguration1 finding

Skill info

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

Assessments (2)

Privilege Escalation1 finding HIGH
HIGH

Privilege Escalation via local-llm-review

scripts/linkedin.mjs

The script uses environment variables `UNIPILE_DSN` and `UNIPILE_ACCESS_TOKEN` which are required for API access. If these are not properly secured, they could be exploited for unauthorized access.
Security Misconfiguration1 finding MEDIUM
MEDIUM

Security Misconfiguration via local-llm-review

SKILL.md

The documentation recommends setting `UNIPILE_PERMISSIONS=read` for read-only access, but does not enforce it in the code. This could lead to accidental over-privilege if users forget to set it.

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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 unipile-linkedin-sdk? Report an issue or request a rescan.

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