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Skill scan report

plume-infographic

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

What this skill does

Infographic generation using Plume AI API

github/leoyeai - MCP Least Privilege - 2.1k stars

ThreatsMCP Least Privilege Privilege Escalation

Threat analysis

MCP Least Privilege1 finding
Privilege Escalation1 finding

Skill info

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

Assessments (2)

MCP Least Privilege1 finding HIGH
HIGH

MCP Least Privilege via local-llm-review

scripts/plume_api.py

The script reads PLUME_API_KEY from environment variables, openclaw.json, and .env files. This could expose sensitive API keys if not properly secured.
Privilege Escalation1 finding MEDIUM
MEDIUM

Privilege Escalation via local-llm-review

scripts/check_config.py

The script writes to ~/.openclaw/.env, which could be a security risk if not properly protected.

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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 plume-infographic? Report an issue or request a rescan.

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