Security audit

reminder

Security checks for vulnerabilities and agentic risk

Overview

This is a small reminder-management skill whose persistence and reminder editing behavior are disclosed and aligned with its purpose.

Before installing, note that reminders are meant to be stored locally and survive future sessions. Use it for ordinary reminders, and be careful with sensitive reminder text because the exact local storage path and retention controls are not specified.

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)

Ae1

High

Category: analysis-evasion
Confidence: 100% confidence
Finding: Referenced artifact was not completely inspected
Content: Scanner excerpt · SKILL.md (reported line 92)May include surrounding context.
md
| 文档与理论文本 | 本 `SKILL.md`、`README.md`、其中「理论依据」段与一切理论表述 | **不在 MIT 覆盖范围内**：保留所有权利（All rights reserved） |

Vague Triggers

Medium

Category: Not specified by scanner
Confidence: 93% confidence
Finding: The manifest advertises very broad trigger phrases such as "提醒我", "别忘了", and generic English words like "remind" and "reminder", which can match ordinary user language outside a clear reminder-setting intent. This can cause unintended skill activation, leading to incorrect routing of user requests, accidental reminder creation or disclosure of reminder data, and degraded trust in the assistant's behavior.
Content: No source excerpt is available for this finding.

Natural-Language Policy Violations

Low

Category: Not specified by scanner
Confidence: 89% confidence
Finding: The file begins with substantive policy and licensing instructions only in Chinese, while the rest of the license text is in English. This creates a language-policy concern because users are expected to rely on mandatory natural-language terms without any explicit opt-in, translation choice, or stated region-specific necessity.
Content: No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.