ClawHub
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Security audit

Quick Proposal

Security checks for vulnerabilities and agentic risk

Overview

This is a simple proposal-writing skill with no executable code, persistence, credential access, or hidden behavior.

Install this as a lightweight proposal-drafting helper. Review generated budgets, timelines, and contractual language before sending them to customers, since the skill provides template estimates rather than verified business advice.

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
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

The invocation examples are very broad, such as generating a proposal for a website project or from a requirements document, without defining clearer activation boundaries. In an agent environment, this can cause the skill to trigger on loosely related user input and override more appropriate behaviors, leading to unintended proposal generation, context leakage into business documents, or unreliable task routing.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

The natural-language description and usage instructions are entirely in Chinese, which can imply a fixed language behavior without documenting user choice. The policy requires avoiding forced language or locale constraints unless the skill offers opt-in or clearly justifies the locale restriction.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.