Security audit

Warehouse UI

Security checks for vulnerabilities and agentic risk

Overview

This database CLI skill appears purpose-aligned, but it needs review because it installs an unverified native binary and handles sensitive database and AI-provider data with limited safety guidance.

Review this before installing. Use least-privilege, preferably read-only database accounts; avoid putting real passwords in command-line arguments or URLs; verify the downloaded binary yourself if possible; and do not use AI query generation with sensitive schema, prompts, or data unless you are comfortable sending that context to the configured provider.

A.I.G

Vulnerability Patterns

Insecure DependenciesIntroduces malicious components through unsafe dependency sources
Insecure Skill Coding PracticesFinds exploitable flaws such as hardcoded secrets or command injection
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

Findings (2)

T08 · Insecure Dependencies

Warning

Location: SKILL.md:5
Finding: Unverified Precompiled Executable Installation
Content: View full analysis
Remediation: View remediation

T09 · Insecure Skill Coding Practices

Warning

Location: SKILL.md:33
Finding: Database Credentials Exposed Through Command-Line Arguments
Content: View full analysis
Remediation: View remediation

SkillSpector

Vulnerability Patterns

Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Supply ChainUnpinned Dependencies, External Script Fetching, Obfuscated Code
Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep

Findings (1)

Missing User Warnings

Medium

Category: Not specified by scanner
Confidence: 95% confidence
Finding: The skill advertises AI-powered SQL generation via OpenAI or Anthropic but does not disclose that user prompts, and potentially database schema or query context needed to generate SQL, may be transmitted to third-party providers. In a database tooling context this is risky because users may submit sensitive business data, table names, or operational metadata without realizing it leaves their environment.
Content: No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.