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Security audit

Aloudata CAN SKILLS - forecast-simulation

Security checks for vulnerabilities and agentic risk

Overview

This skill is a coherent forecasting helper that delegates metric lookups and performs simple local calculations, with no evidence of hidden execution, persistence, or data exfiltration.

Before installing, users should understand that this skill may activate on many future-looking business questions and may cause metric-query to retrieve relevant business metrics for forecasting. Treat its outputs as simple estimates, not authoritative predictions, and ensure assumptions are reviewed before acting on them.

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
  • 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 (2)

Vague Triggers

High
Category
Not specified by scanner
Confidence
98% confidence
Finding

The skill defines extremely broad activation triggers such as any user intent about the future, estimates, or hypothetical outcomes, and repeatedly states the skill 'must' be used. This can cause the agent to route many unrelated or only partially related requests into this skill, increasing the chance of incorrect tool selection, unnecessary data access through delegated metric-query calls, and user confusion from speculative answers presented in the wrong context.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The skill content is written to operate in Chinese and frames behavior, examples, and outputs entirely in Chinese without stating that the assistant should preserve the user's language. This can override user preference, reduce transparency, and create unsafe misunderstanding in analytical outputs if a user interacts in another language and receives mismatched or partially untranslated forecasting assumptions.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.