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Security audit

得到大脑(原 Get 笔记)

Security checks for vulnerabilities and agentic risk

Overview

This skill coherently uses the official getnote CLI to connect to a user's GetNote account and manage notes, with sensitive actions disclosed and gated by user intent or confirmation.

Install only if you intend to let the official getnote CLI read and manage your GetNote account data. Review prompts carefully before deletes, overwrites, public sharing, uploads, or update/setup actions, because those can change remote notes or local CLI state.

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
Vulnerability Patterns
  • 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
  • Excessive AgencyUnrestricted Tool Access, Autonomous Decision Making, Scope Creep
Findings (1)

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
92% confidence
Finding

The file’s instructional and user-facing examples are entirely in Chinese, which can amount to a language/locale constraint for users or agents consuming the skill. The policy allows locale constraints when users are given a choice or when the constraint is explicitly justified, neither of which is stated here.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.