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Security audit

investoday-fund-performance-attribution-analysis

Security checks for vulnerabilities and agentic risk

Overview

This skill provides structured public-fund performance attribution using disclosed finance data tools, with no hidden execution, persistence, or private-data handling found.

Before installing, understand that this skill may call the Investoday finance-data integration to look up public fund information based on a fund name or code. It should be used for analysis, not investment instructions, and users should verify any financial conclusions independently.

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 (2)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The skill advertises broad trigger phrases such as '业绩归因', '超额收益', and '主动管理能力' without defining clear activation boundaries, exclusions, or a disambiguation step. This can cause the skill to activate on general finance discussion and unnecessarily invoke downstream data-access skills, increasing the chance of unintended tool use and misrouting in sensitive financial contexts.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The trigger scenarios are written as open-ended natural-language examples and keywords, but they do not specify strong constraints on when the skill must not run. In an agentic environment, this ambiguity can lead to over-triggering on adjacent requests, causing unintended entity recognition and financial-data queries or bypassing more appropriate skills.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.