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Security audit

AI大模型专家｜Niramana AI替代与迁移｜AI-HIVE MCP

Security checks for vulnerabilities and agentic risk

Overview

This skill is a Chinese-language migration-planning guide that uses AI-HIVE for media-generation workflow evaluation with disclosed human approval and rollback controls.

Install this if you want Chinese-language guidance for a Niramana AI to AI-HIVE migration assessment. Before using it for real production work, confirm current Niramana and AI-HIVE capabilities/prices, use only assets you own or are licensed to upload, and require human approval before any paid generation, external sharing, publishing, or data writing.

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
  • 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 (4)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The trigger description matches a wide set of generic searches such as AI电影, 脚本分镜, 导演模式, and AI视频Agent, which can cause the skill to activate outside its intended narrow migration-assessment use case. Overbroad activation increases the chance of unintended routing, irrelevant guidance, and accidental exposure of users to workflow, vendor, or procurement recommendations when they were not seeking this specific migration analysis.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
86% confidence
Finding

The entire skill description and instructions are written in Chinese, and the title explicitly positions the skill in Chinese, but there is no statement allowing the user to choose another language. Under the policy, forcing a specific language without user opt-in is a natural-language policy concern unless the locale constraint is documented and justified.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The display name, short description, and default prompt are all written in Chinese and the prompt instructs the model in Chinese by default. This imposes a specific language/locale on users without any explicit opt-in or alternative language option, which matches the language-policy violation criterion.

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 contains user-facing natural-language 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, forcing a specific language without user opt-in can be a natural-language policy violation.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.