Security audit

Trade Qualifier

Security checks for vulnerabilities and agentic risk

Overview

This skill is a static B2B customer scoring guide with no hidden execution, persistence, or destructive behavior found.

Installers should understand this is a Chinese-language B2B lead-qualification skill and should review any customer data supplied to it. The curl requirement is not used by the written instructions, so avoid granting broader network or credential access unless a specific workflow requires it.

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 (5)

Natural-Language Policy Violations

Medium

Confidence: 92% confidence
Finding: The skill description is written entirely in Chinese, including the title, feature descriptions, scoring criteria, and related skill labels, with no indication that users may choose another language. Per the policy, forcing a specific language without opt-in is a natural-language policy violation unless the locale restriction is clearly documented and justified.

Vague Triggers

Medium

Confidence: 89% confidence
Finding: The trigger conditions are very broad and map to common business-language requests such as scoring customers or prioritizing accounts. This can cause the skill to be invoked in ambiguous situations without clear user intent, increasing the chance of unintended execution, incorrect automation, or unsafe downstream use of customer data in a broader agent workflow.

Natural-Language Policy Violations

Low

Confidence: 83% confidence
Finding: The file's natural-language description, headings, usage examples, and trigger conditions are all presented in Chinese, which effectively forces a specific language for users and integrators. There is no indication that the skill is region-specific or that users can opt into another language.

Natural-Language Policy Violations

Low

Confidence: 91% confidence
Finding: This CSV contains natural-language content in Chinese, including the header row and risk labels such as 低/中/高, but provides no indication that the user can opt into this locale. The policy requires flagging language or locale constraints when a specific language is imposed without user choice or documented justification.

Natural-Language Policy Violations

Low

Confidence: 93% confidence
Finding: The package description is entirely in Chinese, and the manifest provides no indication that the skill supports other languages or that this locale restriction is optional. Under the policy, forcing a specific language without user opt-in can be a natural-language policy violation unless it is clearly documented as region-specific or optional.

Static analysis

No suspicious patterns detected.