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Security audit

Digital Twin Security

Security checks for vulnerabilities and agentic risk

Overview

This skill is a documented career-roadmap API integration, with the main caution that it sends user-provided professional profile details to an external service.

Before installing, treat the assessment fields as personal/professional profile data. Submit only information needed for a roadmap, avoid secrets or sensitive employer details, and check the provider's privacy terms if retention or sharing matters to you.

A.I.G

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

SkillSpector

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 (3)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill embeds example request data containing detailed professional background, certifications, industry focus, session identifiers, timestamps, and a user ID without any privacy guidance, minimization note, or warning about handling personal/professional data. Even if presented as sample data, this normalizes collection and propagation of user profiling data and tracking identifiers, increasing the risk of unnecessary retention, logging, or downstream disclosure.

Content

No source excerpt is available for this finding.

External Transmission

Medium
Category
Data Exfiltration
Confidence
50% confidence
Finding

Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.

Content

Scanner excerpt · SKILL.md (reported line 340)May include surrounding context.

md
# References

- Kong Route: https://api.mkkpro.com/career/digital-twin-security
- API Docs: https://api.mkkpro.com:8095/docs

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

The API schema explicitly accepts assessment, session, and optional user identifier data, including background, skills, goals, and industry details, but provides no indication of privacy handling, minimization, retention, or authentication requirements. In a career-roadmap skill, this is plausibly sensitive profiling data; undocumented handling increases the risk of overcollection, unintended disclosure, and unsafe downstream processing.

Content

No source excerpt is available for this finding.