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Security audit

typesafe-jev-engine

Security checks for vulnerabilities and agentic risk

Overview

The skill is a small typed-schema guidance package with no evidence of hidden execution, persistence, credential use, or data exfiltration.

Before installing, confirm you are comfortable with a Portuguese-oriented schema package and with the fact that the documentation overstates included modules. Review the phone-number-like example in the privacy section if sanitization matters to your use case.

Vulnerability Patterns
  • Skill Instruction HijackingAlters the agent's session goals or safety constraints when the skill loads
  • Agent Memory PoisoningWrites attacker-controlled rules into memory that affect later sessions
  • Remote Payload Retrieval and ExecutionFetches external code whose behavior can change after review
  • Embedded Malicious CodeShips malicious scripts inside the skill and executes them locally
  • Unauthorized Access and Privilege EscalationObtains permissions beyond the task's legitimate needs
Vulnerability Patterns
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Findings (3)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The invocation description, "Use when building typed AI judgments," is broad and does not define concrete trigger conditions, exclusions, or scope boundaries. In an agent ecosystem, vague activation criteria can cause the skill to be invoked in unintended contexts, increasing the chance that sensitive decisions or workflows are routed through the wrong logic.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

Most of the skill body is written in Portuguese without any indication that language selection depends on user preference. In multilingual agent systems, forcing a language can cause user confusion, misinterpretation of safety constraints, or incorrect downstream handling if the caller expects another language.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
88% confidence
Finding

The Pydantic field descriptions are written exclusively in Portuguese, including required values like "alta", "media", and "baixa", which implies a fixed language/locale for interactions or structured outputs. The file does not indicate that users can choose their language or that this locale restriction is justified as region-specific.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.