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Security audit

python-debug-assistant

Security checks for vulnerabilities and agentic risk

Overview

This is a visible, markdown-only Python debugging guide with no hidden execution, persistence, credential access, or data exfiltration behavior.

Install this if you want Python debugging help primarily in Chinese. Users who need another language or a more flexible answer format may find the skill rigid, but the reviewed artifacts do not show security-sensitive behavior.

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
  • 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
  • Data ExfiltrationExternal Transmission, Env Variable Harvesting, File System Enumeration
  • Privilege EscalationExcessive Permissions, Sudo/Root Execution, Credential Access
Findings (5)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
98% confidence
Finding

The skill description hard-codes Chinese-language behavior without checking the user's preferred language, creating a policy and UX mismatch that can override user intent. In multi-language environments, this can degrade accessibility, cause misunderstanding of technical guidance, and produce unsafe remediation if the user misreads instructions.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

Mandating a fixed Chinese output template forces responses into one language and one format regardless of the user's needs or context. This reduces flexibility for clarification, accessibility, and localization, and can lead to incorrect debugging outcomes when users cannot fully understand the prescribed response.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger phrases are broad enough to match many ordinary Python-help requests, which can cause the skill to activate when the user did not explicitly opt into this rigid workflow. That increases the chance of unwanted routing, format lock-in, and reduced user control, especially when other more suitable skills or general assistance should handle the request.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

This markdown file is natural-language instructional content and the title begins a document that remains entirely in Chinese. Under the policy rule, forcing a specific language without user opt-in or a documented justification is a locale/language policy violation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
97% confidence
Finding

The title and the entire reference content are presented in Chinese, and there is no indication that users may choose another language or that the skill is intended only for a Chinese-speaking audience. Under the policy rule, forcing a specific language without user opt-in is a natural-language policy concern.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.