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Security audit

Data Analytics Assistant - 数据分析助手

Security checks for vulnerabilities and agentic risk

Overview

This is a simple Markdown-only website analytics helper; its privacy documentation is thin, but the behavior is disclosed and proportionate to the stated purpose.

Before installing, treat this as a Chinese-language analytics/reporting helper and provide only data you are authorized to analyze. For real user analytics, prefer aggregated or anonymized metrics and add your own privacy, consent, and retention rules because the skill does not define them.

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 (5)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
83% confidence
Finding

The skill description and usage examples are entirely in Chinese and present the assistant as a Chinese-language tool, but they do not state that language is optional or user-selectable. This can violate language/locale policy when a skill effectively requires a specific language without opt-in.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The example trigger phrases are generic user requests such as traffic analysis and conversion optimization, which are likely to overlap with ordinary conversation. In agent-routing environments, this can cause unintended skill activation, broad interception of user queries, and misrouting of requests away from more appropriate tools or default handling.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The skill explicitly supports user behavior analysis, geographic distribution, and path tracking, which can involve personal or sensitive behavioral data, but it provides no privacy notice, consent expectations, or data-handling constraints. This increases the risk of misuse, non-transparent profiling, and privacy compliance issues when operators use the skill on real user data.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The natural-language content and examples are fully Chinese, which effectively imposes a language/locale on users. The policy allows this only when the skill offers language choice or clearly documents a justified region-specific constraint, neither of which appears here.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
96% confidence
Finding

This markdown file contains user-facing 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 language/locale policy, forcing a specific language without user choice can be a natural-language policy violation.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.