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Security audit

周报月报生成

Security checks for vulnerabilities and agentic risk

Overview

This Chinese report-writing skill is coherent and purpose-aligned, but users should be mindful that it can use recent conversation context and optionally create Feishu documents.

Install this only if you want a Chinese-language Feishu reporting helper. Before enabling Feishu document creation, check the create_doc setting and destination/account expectations, and avoid asking it to summarize confidential conversations unless your organization allows that content to be written to Feishu.

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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • MCP Tool PoisoningHidden Instructions, Unicode Deception, Parameter Description Injection
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (6)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger phrases are broad, common workplace expressions such as '月报', '项目报告', and '会议纪要', which can plausibly appear in ordinary conversation without the user intending to invoke the skill. Because the skill can read recent conversation history and create or update Feishu cloud documents, accidental activation could cause unintended collection of context and external side effects.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

The skill states that it reads recent conversation history to extract work content and creates or writes Feishu cloud documents, but it does not clearly warn the user or obtain explicit consent for those sensitive operations. This creates privacy and data leakage risk because internal discussions, confidential project details, or personal information could be silently aggregated and exported to an external document system.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The handler can automatically send AI-generated report content to Feishu using a user identifier without any visible confirmation, warning, or consent check. In a reporting skill, the content may include sensitive work details, so silent exfiltration to an external collaboration platform creates a privacy and data-governance risk even if the destination is legitimate.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
88% confidence
Finding

The manifest uses only Chinese natural-language fields for the display name, description, and tags, which suggests the skill is presented in a fixed language without any stated user opt-in or region-specific justification. Under the policy rules, locale constraints should either offer user choice or be clearly documented as intentional and scoped.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

Comments, report type detection, text extraction, and the returned success message all assume Chinese input/output behavior. This forces a specific language/locale without offering user opt-in or documenting a justified region-specific limitation.

Content

No source excerpt is available for this finding.

Intent-Code Divergence

Low
Category
Not specified by scanner
Confidence
90% confidence
Finding

The inline comment at L10 says the code is generating a report, but the subsequent logic conditionally creates a Feishu document and returns a document reference. This is not just omitted detail in a helper; the nearby comments/documentation frame the operation as report generation while the code performs an additional external document-creation action.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.