Back to skill

Security audit

Startup Verifier

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed Russian-language startup-evaluation checklist with no code, persistence, credential handling, or hidden execution behavior.

Install only if you are comfortable using a Russian-language evaluation checklist that relies on external market research sources and an MCP/API result. Review the scoring thresholds because they can influence business decisions, but the artifact itself does not show hidden execution or privilege-seeking behavior.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
  • Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (2)

Ae4

Medium
Category
analysis-evasion
Confidence
80% confidence
Finding

Suspicious Unicode normalization or mixed-script content

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill is entirely in Russian and does not offer a language choice, which can cause an agent or operator to misunderstand requirements, skip nuance, or misapply scoring logic. In a decision-making workflow that determines candidate outcomes, language exclusivity increases the risk of incorrect evaluations and unsafe automation due to comprehension gaps rather than direct code execution.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.