Security audit

Common-Fetcher

Security checks for vulnerabilities and agentic risk

Overview

The skill’s fetching purpose is clear, but it installs a mutable npm command-line package whose reviewed source and exact version are not included.

Review this before installing in sensitive environments. Prefer a pinned and reviewed npm version, run it with limited filesystem and environment access, and configure allowed sources, schedules, output locations, and retention before enabling automated collection.

A.I.G

Vulnerability Patterns

Insecure DependenciesIntroduces malicious components through unsafe dependency sources
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

Findings (1)

T08 · Insecure Dependencies

Warning

Location: SKILL.md:16
Finding: Unpinned and Unauditable npm Package Installation
Content: View full analysis
Remediation: View remediation

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)

Missing User Warnings

Medium

Category: Not specified by scanner
Confidence: 94% confidence
Finding: The skill clearly enables large-scale web/API/RSS collection and even shows scheduled execution in OpenClaw, but the documentation does not warn users that it will contact third-party services, scrape websites, or run recurring fetch jobs. This omission can lead users to enable automated network activity without understanding data collection scope, operational load, policy/compliance implications, or privacy exposure from fetched content.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 91% confidence
Finding: The skill description and usage guidance are predominantly presented in Chinese, which effectively imposes a language choice on users without any opt-in or explanation of a locale-specific requirement. The policy allows fixed language only when user choice is offered or the regional limitation is clearly justified.
Content: No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.