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Security audit

Agriculture Research

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward external API wrapper for generating agriculture research career roadmaps, but users should be mindful that it sends career-profile details and optional tracking identifiers to a third-party service.

Before installing or integrating this skill, treat submissions as data sent to a third-party career-roadmap API. Prefer pseudonymous or short-lived userId and sessionId values, avoid including unnecessary sensitive personal details in additionalInfo, and look for the provider's privacy and retention terms if using it with students, employees, or institutional users.

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 (4)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The skill explicitly describes collecting educational background, skills, research interests, career aspirations, and session-based interaction data, but provides no privacy notice, retention policy, consent language, or handling constraints. This creates a real privacy and compliance risk because users may disclose sensitive professional profile data without understanding how it is stored, shared, or used.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The sample request and endpoint schema normalize collection of userId, sessionId, and timestamp fields for tracking and analytics, yet the documentation does not disclose tracking purpose, retention, or security controls. This is dangerous because implementers may pass persistent identifiers by default, increasing unnecessary collection and exposure of user activity metadata.

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 186)May include surrounding context.

md
## References

- **Kong Route:** https://api.mkkpro.com/career/agriculture-research
- **API Docs:** https://api.mkkpro.com:8183/docs

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The API schema accepts personal profile and career-assessment data such as education, field of study, experience, goals, sessionId, timestamp, and userId, but the OpenAPI definition provides no privacy notice, data handling statement, security scheme, or transport/authentication requirements. This creates a real privacy and compliance risk because integrators may transmit personally identifiable or sensitive profile data without clear user consent, minimization guidance, or assurance that the endpoint is protected in transit and at access boundaries.

Content

No source excerpt is available for this finding.