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Skill scan report

makers-deploy

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

What this skill does

Deployment automation for EdgeOne Makers (Tencent EdgeOne)

github/tencentedgeone - Data Exposure - 2k stars

ThreatsData Exposure Configuration Management

Threat analysis

Data Exposure1 finding
Configuration Management1 finding

Skill info

Nametencentedgeone/makers-deploy
Registrygithub
Version77de93b
PURLpkg:github/TencentEdgeOne/edgeone-makers-tools@77de93b?skill=makers-deploy
Stars2k

Assessments (2)

Data Exposure1 finding HIGH
HIGH

Data Exposure via local-llm-review

metadata.yaml

The skill's metadata contains a version number (2.2.0) and author information (edgeone), which could be used to fingerprint the deployment environment if exposed in logs or error messages.
Configuration Management1 finding MEDIUM
MEDIUM

Configuration Management via local-llm-review

references/command-reference.md

The skill stores tokens in `.edgeone/.token` and automatically adds this file to `.gitignore`. While this is a good practice, the documentation does not explicitly warn users about the risks of exposi

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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 makers-deploy? Report an issue or request a rescan.

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