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Security audit

简历优化两步走编排器

Security checks for vulnerabilities and agentic risk

Overview

This resume optimization skill is a disclosed two-step writing workflow with no code execution, persistence, credential handling, or hidden data movement in the inspected artifacts.

Install if you want a Chinese-first resume optimizer that coordinates two other skills. Review the final resume carefully, fill all placeholders, and avoid providing sensitive personal details unless you are comfortable sharing them with the dependent resume-assistant and humanizer skills.

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 (4)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The trigger conditions are broad and can activate on generic resume-help requests without clearly signaling the two-step orchestration, sub-skill usage, or required user consent for style transformation. This can cause the skill to take over ordinary requests unexpectedly, route user content through additional skills, and apply changes the user did not explicitly ask for.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The entire markdown file is written as prescriptive Chinese-language guidance, including headings and instructions such as how the assistant should ask users for metrics. There is no indication that language choice is optional or user-selected, which can violate a language/locale policy requiring user opt-in for a specific language.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
90% confidence
Finding

The entire skill overview is written in Chinese and targets Chinese-speaking users, but it does not state that the skill is region-specific or provide any opt-in or alternative language option. Under the policy, language constraints should either be optional for the user or clearly justified as a locale-specific tool.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
80% confidence
Finding

The skill directs the agent to add first-person voice as part of de-AI processing, which imposes a stylistic transformation that may not match the user's preferred tone, language norms, or authenticity goals. In a resume context, forced voice changes can misrepresent authorship or alter professional presentation without explicit opt-in.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.