Back to skill

Security audit

LLM数据自动化

Security checks for vulnerabilities and agentic risk

Overview

This is a simple code-generation helper with no packaged executable behavior, but users should review any generated Python or Pandas code before running it.

Install only if you want a Chinese-language helper for generating Python and Pandas snippets. Treat its output as draft code: inspect it, run it in a limited environment, and avoid giving it sensitive datasets unless you are comfortable with the LLM/API workflow involved.

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
  • 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
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger condition is extremely broad ('send a message containing the skill name or related instructions'), which can cause the skill to activate in unintended contexts. For a skill that generates Python and Pandas code, accidental invocation can expose users to unreviewed code-generation behavior and make prompt-injection or misuse easier.

Content

No source excerpt is available for this finding.

Missing User Warnings

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The safety statement claims there is 'no risk' because the skill only does text processing and normal API calls, but the skill's core function is generating Python/Pandas code. Code generation itself is a meaningful risk surface because generated code may be unsafe, destructive, or misleading if users execute it without review; the blanket safety claim may reduce appropriate caution.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
68% confidence
Finding

All user-facing title and instructions are presented only in Chinese, with no indication that the user can choose another language. This may violate language or locale policy where skills should not force a specific language without opt-in.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.