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Security audit

Financial Education Path Designer

Security checks for vulnerabilities and agentic risk

Overview

This skill appears to be a straightforward financial-education helper, but users should not treat its sample investment allocation as personal advice.

Install only if you want educational finance study plans. Treat any sample portfolio allocation as generic learning material, and use a qualified financial professional for decisions involving real money.

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
  • 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
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (5)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The README includes concrete asset-allocation guidance ('50% 债基+30% 沪深 300+20% 货基') framed as an example response without any disclaimer that it is general education rather than personalized financial advice. Users may treat this as actionable investment advice despite differences in risk tolerance, liquidity needs, age, tax situation, or jurisdiction, which increases the chance of financial harm or unsuitable investing.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

The manifest sets language: en, which indicates an English-only language policy, yet the file also includes a Chinese scenario and output. This creates a natural-language locale constraint without explicitly offering users a language choice or documenting why the restriction is necessary.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
86% confidence
Finding

The README states that it recommends resources suited to the Chinese context, which imposes a locale-specific constraint. Because the skill description does not explicitly present this as an optional preference or clearly frame the skill as China-only, it may conflict with the policy against forcing a specific locale without user opt-in.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
88% confidence
Finding

This Python file contains a natural-language comment in Chinese ("其他skill类似") while the rest of the skill is in English. Under the language/locale policy rule, forcing or mixing a specific language without user choice or documented justification can be a policy violation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The manifest sets "language": "en", which indicates a fixed language choice. Under the policy, forcing a specific language without offering user choice or documenting a justified locale constraint is a natural-language policy violation.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.