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Security audit

ADHD Sisterhood 晚确诊女性ADHD助手

Security checks for vulnerabilities and agentic risk

Overview

This is a Chinese-language ADHD education and support skill with no executable code, persistence, or hidden data access, though users should treat its health guidance as informational.

Installers should understand this as an informational ADHD support skill, not a medical provider. Use clinicians for diagnosis, medication, crisis care, and hormone or fNIRS decisions, and avoid entering identifiable child, family, or medical records unless the AI service's privacy handling is acceptable.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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 (6)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill strongly constrains output style and audience to Chinese-speaking users without offering any language fallback or explicit locale gating. This can cause unsafe or unusable behavior for non-Chinese users in a mental-health-adjacent context, where misunderstanding medical disclaimers, support guidance, or crisis advice could materially increase harm.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

The guidance explicitly suggests using AI to assist with parenting but provides no warning about sharing children's personal, behavioral, or health-related information with third-party AI systems. In this context, users may disclose sensitive family data without understanding retention, model training, or privacy risks, creating avoidable exposure of minors' information.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The entire skill content is written exclusively in Chinese and provides no indication that users may choose another language or opt in to this locale. Under the policy, forcing a specific language without user choice is a natural-language policy violation unless the locale restriction is clearly documented and justified.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

This markdown file consists wholly of Chinese-language instructions and explanations, but does not indicate that the user opted into Chinese or that the skill is intentionally limited to a Chinese-speaking audience. Under the policy, forcing a specific language without user opt-in is a natural-language locale violation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
97% confidence
Finding

This markdown file contains user-facing instructional content exclusively in Chinese, and there is no indication that the skill is region-specific or that users can opt into another language. Under the policy criteria, forcing a specific language without user choice is a natural-language policy violation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
94% confidence
Finding

This markdown file uses only Chinese throughout the title, headings, guidance, and quoted closing text. Under the policy rule, forcing a specific language without user opt-in can be a natural-language policy violation when no language choice or justification is provided.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.