Inspect and validate Vertex AI Agent Engine deployments including Code Execution Sandbox, Memory Bank, A2A protocol compliance, and security posture. Generates production readiness scores. Use when asked to inspect, validate, or audit an Agent Engine deployment. Trigger with "inspect agent engine", "validate agent engine deployment", "check agent engine config", "audit agent engine security", "agent engine readiness check", "vertex engine health", or "reasoning engine status".
75
71%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./plugins/ai-ml/jeremy-vertex-engine/skills/vertex-engine-inspector/SKILL.mdSecurity
1 medium severity finding. This skill can be installed but you should review these findings before use.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Third-party content exposure detected (high risk: 0.70). The skill explicitly probes and parses A2A endpoints (e.g., /.well-known/agent-card, POST /v1/tasks:send, GET /v1/tasks/<task-id>) using curl and SDK calls (see SKILL.md, inspection-workflow.md, and scripts/inspect-agent.sh), ingesting and interpreting agent-provided/public endpoint responses as part of its scoring workflow, which exposes it to untrusted third-party content that can materially influence decisions.
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