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Security audit

Wechat Preflight Check

Security checks for vulnerabilities and agentic risk

Overview

This skill performs a narrow local preflight check for WeChat Markdown articles and does not show hidden, destructive, persistent, or exfiltrating behavior.

Install this if you want a local checklist for WeChat Markdown publishing. Run it only on article files and asset directories you intend it to inspect; it does not appear to modify files or send data elsewhere.

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
  • 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 (2)

Undeclared Tool Scope

Medium
Category
MCP Least Privilege
Confidence
95% confidence
Finding

The skill invokes a local Python script against a user-supplied Markdown file and describes file-validation behavior, which implies filesystem read access, but it does not declare any explicit tool scope such as permissions or allowed-tools. This creates an authorization gap: an agent runtime may permit broader file access than intended, increasing the chance of reading unintended local files during normal use or if the script behavior changes.

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 natural-language descriptions and CLI output exclusively in Chinese, including the module docstring and usage/error messages. Under the policy, forcing a specific language without user opt-in or a clearly documented justification is a natural-language policy violation.

Content

No source excerpt is available for this finding.