Security audit

Openclaw Itsm Skill

Security checks for vulnerabilities and agentic risk

Overview

This is a disclosed ITSM ticket analysis guide, but users should handle ticket exports and webhook reports as potentially sensitive business data.

Install only if you are authorized to analyze the ITSM tickets involved. Minimize exported fields, redact secrets and regulated personal data where possible, and verify any Enterprise WeChat webhook or scheduled report sends only sanitized summaries to approved recipients.

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 (3)

Missing User Warnings

Medium

Confidence: 91% confidence
Finding: The skill explicitly instructs users to export and analyze ITSM ticket data, which commonly contains personal data, internal system details, incident descriptions, and other sensitive operational information. Because the skill provides data-handling guidance without any privacy, minimization, redaction, or access-control warning, users may upload or process sensitive data inappropriately, increasing the risk of disclosure or policy violations.

Missing User Warnings

Medium

Confidence: 95% confidence
Finding: The skill describes pushing ticket-analysis results to an enterprise WeChat webhook but does not warn that reports may contain sensitive ticket details, operational issues, or personal information transmitted to an external messaging endpoint. This creates a concrete data-leak path because automated summaries and alerts can expose confidential content to unintended recipients or less-controlled channels.

Natural-Language Policy Violations

Low

Confidence: 76% confidence
Finding: All user-facing instructions, examples, and output templates are presented only in Chinese, with no indication that users may choose another language. Under the stated policy, forcing a specific language without opt-in can be a natural-language policy violation unless the locale constraint is explicitly justified.

Static analysis

No suspicious patterns detected.