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Security audit

Pywayne Lark Bot Listener

Security checks for vulnerabilities and agentic risk

Overview

This skill is a straightforward Lark/Feishu bot listener guide, with sensitive message and attachment handling disclosed as part of its purpose.

Before installing or using it, confirm the Feishu/Lark bot only has the permissions it needs, treat incoming messages and attachments as potentially sensitive, keep app_id and app_secret out of source control, and review any handler code that automatically replies or re-sends files.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • 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 (2)

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
87% confidence
Finding

The skill explicitly supports automatic downloading of image/file attachments to a local temporary directory and automatic sending of replies, but the documentation does not warn about privacy, retention, or sensitive-data handling risks. In a real-time message listener, users may process personal or confidential content by default, increasing the chance of unintended storage, forwarding, or exposure of attachment data.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
81% confidence
Finding

The file mixes English headings with substantial Chinese-language instructional content, and does not indicate that the language is intentionally limited or provide an opt-in/alternative. This can violate a language/locale policy when a skill effectively forces one language for usage documentation.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.