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Skill scan report

vibers-code-review

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

What this skill does

The skill is a GitHub Action that facilitates human code review for AI-generated projects. It connects to the Vibers service, which provides feedback, security reviews, and follow-up PRs based on a pr

github/sickn33 - Security Misconfiguration - 43.8k stars

ThreatsSecurity Misconfiguration Collaborator Access

Threat analysis

Security Misconfiguration1 finding
Collaborator Access1 finding

Skill info

Namesickn33/vibers-code-review
Registrygithub
Version11c9e67
PURLpkg:github/sickn33/agentic-awesome-skills@11c9e67?skill=vibers-code-review
Stars43.8k

Assessments (2)

Security Misconfiguration1 finding HIGH
HIGH

Security Misconfiguration via local-llm-review

SKILL.md

The `spec_url` parameter must be publicly accessible (or 'anyone with the link can view'). This could expose sensitive project specifications to unauthorized users if not properly configured.
Collaborator Access1 finding MEDIUM
MEDIUM

Collaborator Access via local-llm-review

SKILL.md

The skill requires adding the `marsiandeployer` user as a collaborator to the repository. This grants them full access to the repository, which could be a security risk if the user is not fully truste

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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 vibers-code-review? Report an issue or request a rescan.

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