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Security audit

Model Benchmark

Security checks for vulnerabilities and agentic risk

Overview

This is a simple model-benchmarking skill with Chinese prompts and no executable code, persistence, or hidden behavior.

Install only if you want a Chinese-oriented OpenClaw model benchmarking template. If you configure new providers, keep API keys out of shared repositories and verify how your OpenClaw models.json stores secrets.

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
  • 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 (2)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The manifest description explicitly centers the skill on Chinese understanding and the evaluation prompts and scoring criteria are written only in Chinese. Because the file does not offer an opt-in choice of language or explain that the skill is intentionally limited to a Chinese-only regional/compliance context, this creates a language policy concern.

Content

No source excerpt is available for this finding.

Missing User Warnings

Low
Category
Not specified by scanner
Confidence
77% confidence
Finding

This markdown file states that specific API keys are required and instructs the user to configure a new provider in models.json, but it does not include any warning about protecting credentials or avoiding accidental exposure. For markdown files, omissions around privacy- or system-affecting behavior can warrant a missing-warning finding when sensitive data is involved.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.