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Security audit

提示词生成器

Security checks for vulnerabilities and agentic risk

Overview

This is a Chinese-language prompt-template skill with no executable code, persistence, credential handling, or hidden data access.

Install if you want a Chinese prompt-template library. Review generated prompts before reusing them with external AI tools, especially when they include private work data, API credentials, scraping targets, or scheduled automation details.

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
  • Behavioral ASTexec() Call, eval() Call, Dynamic Import
  • 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 (16)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The activation description is very broad and covers generic prompt-writing and optimization requests, which can cause the skill to trigger in many ordinary conversations. Over-broad activation increases the chance of unintended routing, context capture, and interference with more appropriate skills, especially when user input includes sensitive drafting tasks.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
88% confidence
Finding

The skill content and examples are written entirely in Chinese and implicitly assume Chinese-language interaction without stating that limitation or offering language selection. This can lead to incorrect prompt generation, user confusion, or mishandling of instructions when invoked for users operating in other languages or locales.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
88% confidence
Finding

This JSON eval file contains multiple natural-language prompts, descriptions, and expected outputs exclusively in Chinese. Because SQP-3 applies to all file types and flags language-policy constraints without opt-in or justification, this appears to enforce a specific language behavior implicitly.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The template prompts and section content are presented in Chinese, while the file does not state that the skill is Chinese-only or offer users a language/locale choice. This can violate language/locale policy guidance when a specific language is effectively imposed without opt-in or justification.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

This markdown file contains user-facing template content entirely in Chinese, while the surrounding headings and usage notes are in English. Because the skill does not offer users a language/locale option or explain that it is intentionally region- or language-specific, it creates a natural-language policy issue under the language-choice rule.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
89% confidence
Finding

This markdown file uses generic activation descriptions like 'User wants to plan a trip' and the embedded prompts repeatedly use broad phrases such as '帮我制定' and '帮我写'. These are common everyday requests without explicit trigger boundaries, exclusions, or narrow context, which could cause unintended invocation if reused as skill triggers.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
91% confidence
Finding

This markdown file defines invocation-style templates using generic phrases such as “帮我写一份PPT的内容”, “帮我分析这份Excel数据”, and “帮我整理一份会议纪要.” These are broad everyday requests rather than narrowly scoped activation phrases, and the file does not provide exclusion conditions or negative examples to clarify when the skill should or should not be invoked.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

This markdown file contains a natural-language usage reference and begins by describing itself in Chinese, while the rest of the templates are also written in Chinese. Because the skill/reference material effectively forces a specific language without user opt-in or a stated region-specific scope, it conflicts with the language/locale policy criteria.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
88% confidence
Finding

This markdown file contains user-facing prompt templates exclusively in Chinese for WeChat, Xiaohongshu, and Zhihu, but it does not state that the skill is China-specific or provide an opt-in language/locale choice. That can violate language/locale policy where skills should not force a specific language without user choice or documented justification.

Content

No source excerpt is available for this finding.

Vague Triggers

Low
Category
Not specified by scanner
Confidence
89% confidence
Finding

This markdown file includes multiple generic 'Use when' conditions such as 'User wants expert-level analysis' without defining explicit trigger phrases, boundaries, or exclusion conditions. Because SQP-1 applies to markdown files, these broad activation descriptions could cause the skill or template set to be invoked in overly general situations.

Content

No source excerpt is available for this finding.

Vague Triggers

Low
Category
Not specified by scanner
Confidence
87% confidence
Finding

Phrases like 'User wants roleplay interaction,' 'User needs comprehensive analysis,' and 'User wants multiple options' are high-level and ambiguous rather than narrowly scoped. The document does not provide specificity on how to distinguish these cases from ordinary requests, which fits the vague-trigger category for markdown files.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
91% confidence
Finding

This markdown file contains user-facing prompt templates almost entirely in Chinese, which effectively imposes a specific language for interacting with the skill. Under the policy, language constraints should either be optional, user-selectable, or clearly justified.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
94% confidence
Finding

This markdown file contains natural-language instructions and example prompts exclusively in Chinese from L09 onward, while giving no indication that language selection is optional or intentionally region-specific. That can violate a language/locale policy requiring user choice or explicit justification for a forced locale.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

This markdown file mixes English headings with prompt content that is consistently written in Chinese, effectively steering users toward a specific language for skill output. Under the policy, forcing a language or locale without opt-in can be a natural-language policy violation when no alternative or justification is provided.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
94% confidence
Finding

The natural-language content and template examples are entirely in Chinese, while the file does not state that the skill is region-specific or provide an opt-in language choice. This can violate language/locale policy expectations when users are not given a choice or justification for the enforced language.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
96% confidence
Finding

The natural-language templates from L009 onward require Chinese-language interaction, but the file does not state that the skill is Chinese-only, offer multilingual support, or ask for user language preference. This can violate language/locale policy where skills should not force a specific language without opt-in or justification.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.