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Security audit

OpenClaw Debugger

Security checks for vulnerabilities and agentic risk

Overview

This debugging skill is a simple local helper that reads user-provided logs or source files and prints analysis without hidden persistence, network calls, or destructive behavior.

Install only if you are comfortable with a debugging helper reading the log or source files you explicitly point it at. Avoid passing sensitive files unless their contents are necessary for the debugging task.

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
  • MCP Least PrivilegeUnderdeclared Capability, Wildcard Permission, Missing Permission Declaration
  • 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)

Lp3

Medium
Category
MCP Least Privilege
Confidence
88% confidence
Finding
The skill advertises commands that read local files such as error logs and source files, and the static analyzer also detected network-capable code, but the manifest declares no explicit tool scope or permissions. This creates an authority ambiguity where a host may grant broader capabilities than users expect, increasing the risk of unintended file access or network egress during debugging workflows.

Natural-Language Policy Violations

Medium
Confidence
94% confidence
Finding
The skill description and feature list switch to Chinese and present the skill as operating in Chinese, with no indication that users may choose another language. This is a natural-language policy concern because it imposes a locale/language expectation without documented opt-in or justification.

Static analysis

No suspicious patterns detected.