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Security audit

@prompt v1.0正式版

Security checks for vulnerabilities and agentic risk

Overview

This markdown-only skill rewrites prefixed user requests into copy-ready prompts and does not add execution, persistence, credentials, or data access behavior.

Installers should expect a lightweight prompt-writing helper. The main thing to consider is language fit: some response labels and examples default to Chinese, so non-Chinese users may want the author to clarify or localize the output contract.

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 (9)

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The required standard output templates are written in Chinese and presented as the default contract, while the skill otherwise says to preserve the user's language unless they ask otherwise. This creates a natural-language policy issue because it imposes a specific language on user-facing responses without opt-in or a documented region-specific constraint.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
88% confidence
Finding

The examples and invocation patterns are presented exclusively in Chinese, including user-facing trigger examples and suggested responses. Because the guide does not state that this is a China-specific or Chinese-only skill, this reads as a language policy constraint without user opt-in.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

This markdown file repeatedly presents inputs, preferred replies, and suggested wording exclusively in Chinese, including user-facing response templates. Because the guidance does not offer a language choice or explain a region-specific constraint, it implicitly enforces a specific language/locale policy.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
86% confidence
Finding

The title labels this as an "English Guide," which indicates a language constraint in the skill documentation. Under the policy, forcing or defaulting to a specific language without user opt-in can be a natural-language policy violation unless the locale limitation is clearly justified or alternatives are offered.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The example prompt explicitly instructs the assistant in Chinese, which effectively sets a language expectation without user opt-in. This file contains multiple such examples, and no surrounding text explains that language should be selected based on user preference or context.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The example prompt explicitly instructs the assistant in Chinese, which effectively sets a language expectation without user opt-in. This file contains multiple such examples, and no surrounding text explains that language should be selected based on user preference or context.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The example prompt explicitly instructs the assistant in Chinese, which effectively sets a language expectation without user opt-in. This file contains multiple such examples, and no surrounding text explains that language should be selected based on user preference or context.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
87% confidence
Finding

Line L14 states the output was changed to a shorter Prompt 关键处理 summary, which implies a specific language choice in user-facing output. The file does not indicate that users can opt into this language or that the skill is intentionally scoped to Chinese-language usage.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
93% confidence
Finding

The heading explicitly labels this as a Chinese-language guide, and the rest of the file is entirely in Chinese. Under the policy for natural-language violations, forcing a specific language without offering user choice or documenting a justified locale constraint can be a violation.

Content

No source excerpt is available for this finding.