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Security audit

习惯追踪器

Security checks for vulnerabilities and agentic risk

Overview

This is a simple habit-tracking skill whose local JSON storage and Chinese habit commands match its stated purpose.

Before installing, understand that habit names and check-in history may be written to local JSON files. Use clear commands and ask for confirmation if you do not want accidental check-ins or habit creation from casual conversation.

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 (3)

Vague Triggers

Medium
Confidence
94% confidence
Finding
The trigger phrases are common everyday language such as '打卡' and '添加习惯', which increases the chance the skill is invoked unintentionally during normal conversation. This can lead to unexpected actions or data writes, especially because the skill also persists user activity to local files.

Missing User Warnings

Medium
Confidence
88% confidence
Finding
The skill explicitly stores data in habits.json and checkins.json but does not disclose that user interactions will result in persistent local file writes. This creates a privacy and consent issue, and unexpected persistence can become more sensitive if the stored routines reveal health, lifestyle, or schedule information.

Natural-Language Policy Violations

Low
Confidence
84% confidence
Finding
The skill metadata and usage documentation are entirely in Chinese, with no indication that users may interact in another language or choose their preferred locale. Under the stated policy, forcing a single language without opt-in can be a natural-language policy issue unless the locale restriction is explicitly justified.

Static analysis

No suspicious patterns detected.