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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)

Undeclared Tool Scope

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.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
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.

Content

No source excerpt is available for this finding.