Back to skill

Security audit

companion-lobster

Security checks for vulnerabilities and agentic risk

Overview

This is a simple Chinese-language companion/recommendation skill with no evidence of hidden execution, exfiltration, persistence, or privilege abuse.

Installers should understand that this is a Chinese-language companion-style skill and should avoid sharing sensitive personal information unless they are comfortable with how their agent handles conversation history; review any external GitHub clone or npm install target before running it.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • 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
96% confidence
Finding

The primary natural-language description is presented only in Chinese and describes the skill's companion behavior without indicating that language is optional or limited to a justified locale-specific audience. Under the policy rule, language constraints should either be opt-in or clearly documented as region-specific.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The skill is framed as a broad companionship and general-chat agent rather than a narrowly scoped utility, which can lead to uncontrolled activation scope and unclear safety boundaries. In a companion context that encourages open-ended conversation and recommendations, this increases the chance of mishandling sensitive topics, overcollection of user data, or performing actions beyond what users reasonably expect.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The statement that the skill 'remembers user preferences' implies storage or reuse of personal behavioral data, but the file provides no disclosure about what is retained, for how long, or with what protections. In a companion-style skill, preference memory can easily include sensitive entertainment habits, emotional disclosures, and linked content, creating privacy and consent risks if users are not clearly informed.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The file’s natural-language descriptions and CLI usage are entirely in Chinese, presenting the skill as a companion chatbot for general use without any indication that language is configurable or that the skill is intentionally region-specific. Under the policy, forcing a specific language without user opt-in 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
91% confidence
Finding

The changelog and vision content use Chinese language exclusively, including feature descriptions and the project vision. Under the policy for natural-language violations, forcing a specific language without user opt-in can be a locale policy issue when no justification or alternative is provided.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
88% confidence
Finding

The natural-language skill description and examples are entirely in Chinese, and there is no indication that users may choose another language or that the skill is intentionally limited to a Chinese-language or region-specific audience. This can constitute a language/locale policy issue when a skill appears to force a language without user opt-in.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.