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Security audit

Crypto Market Morning Brief

Security checks for vulnerabilities and agentic risk

Overview

This skill only instructs the agent to gather public crypto market information and produce a structured morning brief, with no hidden code or privileged behavior found.

Reasonable to install if you want Chinese crypto market briefs. Expect it to perform public web searches when crypto market brief-style requests are made. Treat outputs as informational only, verify market data and sources independently, and do not rely on it as investment 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
94% confidence
Finding

The natural-language triggers are broad enough to match ordinary conversation about crypto markets, which can cause the skill to activate when a user is simply asking a general question rather than explicitly invoking the workflow. In an agent setting, this can lead to unintended web searches, unnecessary external data retrieval, and confusing or unsafe execution of a market-brief generation flow without clear user intent.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
78% confidence
Finding

The description hardcodes Chinese output/context ('加密货币市场晨报') while also embedding English text ('Use when...') without stating that the user may choose the response language. This can create an implicit language/locale constraint without opt-in.

Content

No source excerpt is available for this finding.