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Security audit

three-point-lighting

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward studio-lighting guide with no code execution, data access, persistence, or hidden high-impact behavior.

Installers should expect a Chinese-first studio photography reference. Review the lighting and electrical-safety advice for your equipment, but there is no evidence this skill accesses data, runs commands, or changes the environment.

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 (2)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
80% confidence
Finding

The manifest description and trigger section mix Chinese-specific phrasing and title the skill in Chinese, but nowhere states that the skill is region-specific or that users may choose their preferred language. Under the policy rule, forcing or biasing toward a specific language without opt-in can be 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

This JSON test file contains natural-language expectations and notes that require Chinese output or understanding, such as '调用 three-point-lighting' and other Chinese-only descriptions. Under the policy rule, forcing a specific language without opt-in or explicit locale justification is a natural-language policy concern.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.