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Security audit

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Security checks for vulnerabilities and agentic risk

Overview

This is a markdown-only content repurposing skill that generates platform-specific drafts and does not install code, access accounts, or publish content automatically.

Install only if you want an agent to transform your supplied content into multiple platform drafts. Avoid giving it confidential material unless you are comfortable with that material being rewritten and translated in the chat, and specify desired platforms and languages when you do not want the defaults.

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 (8)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger list contains broad terms like "rewrite for platforms", "adapt for", "改写", and "转发各平台" that can match many ordinary user requests unrelated to this specific skill. Overbroad activation can cause the agent to invoke this skill unexpectedly, override user intent, and generate unsolicited cross-platform transformations or disclosures of user-provided content.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
92% confidence
Finding

The rules hard-code output languages by platform and require translation/adaptation even when the user did not request translation. This can lead to unintended data transformation and externalization of user content into additional languages, increasing the chance of privacy, compliance, or accuracy issues when sensitive or nuanced material is republished more broadly than intended.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger phrase '帮我一稿多发' is broad and resembles an ordinary user request rather than a narrowly scoped skill invocation. This can cause accidental activation in unrelated conversations, leading the agent to apply the skill when the user did not explicitly intend to invoke it.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The description states that the Twitter Thread output is in English by default, without indicating user consent or configuration. Forcing a language transformation can violate user expectations, create data handling surprises, or produce unintended outputs in multilingual contexts.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

表格与后文说明将 Twitter Thread、LinkedIn 固定为“英文”,且未说明用户可选择中文或其他语言输出。这属于自然语言层面的语言/locale 约束,缺少用户 opt-in 或可选项,可能违反语言选择政策。

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, natural-language requests such as '帮我出一个公众号版本' and '改写成小红书风格', which can plausibly appear in ordinary conversation outside an explicit skill-invocation context. This creates an unintended activation risk where the skill may rewrite or transform user content without clear consent, especially in multi-skill or agentic environments that route based on loose matching.

Content

No source excerpt is available for this finding.

Vague Triggers

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

The skill can reportedly activate from either pasted source text or just a topic, but the boundaries for each mode are not clearly defined. Ambiguous activation criteria increase the chance of unintended execution or misclassification of ordinary content as a skill request.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
95% confidence
Finding

The markdown states as a fixed platform rule that 'Twitter 是英文', which imposes a language choice in the skill's behavior. Under the policy, forcing a specific language without user opt-in is a natural-language policy violation unless clearly documented as an optional or justified locale constraint.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.