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Security audit

fetch-stock-daily

Security checks for vulnerabilities and agentic risk

Overview

This skill clearly fetches China A-share daily stock data from Eastmoney and saves local JSON archives, with no hidden persistence or credential handling found.

Install only if you are comfortable with the skill making HTTP requests to Eastmoney and writing cached symbol lists plus raw market-data JSON files in the working repository. Review or constrain network access if your environment requires explicit destination allowlists.

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
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • 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 (3)

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
88% confidence
Finding

The skill instructs the agent to perform network-backed data retrieval from Eastmoney APIs, but the manifest does not declare any tool scope such as permissions or allowed-tools. That creates an authorization and governance gap: an agent/runtime may execute network actions without an explicit policy boundary, making review, sandboxing, and least-privilege enforcement harder.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The short description is written in Chinese while the default prompt is written in English, and the file does not indicate that the user can choose a preferred language. This can create a language/locale policy issue because the skill presents a fixed language experience without documented opt-in or justification.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
93% confidence
Finding

The thrown error message 无法识别股票代码或名称 is hard-coded in Chinese, creating a language/locale constraint for users who may not understand it. The file does not provide any opt-in, fallback, or documented justification for enforcing this language in user-facing output.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.