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Security audit

volume-open-interest

Security checks for vulnerabilities and agentic risk

Overview

This is a low-risk educational market-analysis skill, with the main caveat that most of its content and tests are in Chinese.

Use this as an educational helper for volume and open-interest analysis, not as standalone financial advice. If you prefer another language, tell the agent explicitly, since the artifact is mostly Chinese.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill body is predominantly written in Chinese and does not explicitly instruct the agent to match the user's language or offer a language choice. In a multilingual environment, this can cause the agent to respond in a language the user does not understand, reducing transparency and increasing the chance of misunderstanding financial-risk guidance.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

This manifest-style JSON contains all prompts and expected behaviors exclusively in Chinese, and the expected behavior repeatedly prescribes Chinese responses/activation behavior without offering a language choice. Under the policy rule, forcing a specific language without user opt-in is a natural-language locale violation unless clearly documented as region-specific or optional.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.