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".
62
75%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
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Low
Low-risk findings worth noting
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tessl review fix ./plugins/ai-ml/jeremy-vertex-engine/skills/vertex-engine-inspector/SKILL.mdLow
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
The skill’s required runtime workflow reads outsider-provided free text when it invokes the script to probe the target Agent Engine’s A2A/AgentCard and related task endpoints (which can include outsider-authored payloads from the deployment), using values like `AGENT_URL` derived from retrieved metadata and `curl` to fetch `/.well-known/agent-card` at runtime.
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