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Security audit

WeChat Article Pro

Security checks for vulnerabilities and agentic risk

Overview

This skill is a coherent WeChat article-drafting workflow that saves drafts in a logged-in WeChat public account, with no hidden code, persistence, or unrelated access found.

Install this only if you want an agent to use your logged-in WeChat public-platform session to create and save article drafts. Review drafts, generated cover images, sourced facts, and writing style before any manual publication.

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 (2)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill explicitly instructs the agent to click the WeChat '保存' button and save the generated article into the user's public account draft box, but the skill description does not clearly warn the user that it performs a state-changing action in their authenticated account. This can lead to unexpected publication workflow changes, draft pollution, or misuse of the user's account context without informed consent.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

The skill description is entirely scoped to producing WeChat public-platform articles in Chinese and enforces a fixed publication style, but it does not say the user can choose another language or locale. This can be a natural-language policy issue when a skill forces a language or locale without explicit user opt-in.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.