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Security audit

reasoning-scaffold

Security checks for vulnerabilities and agentic risk

Overview

This is a Chinese-language decision-reasoning scaffold with broad auto-trigger wording, but it does not include code execution, credential access, persistence, or data exfiltration behavior.

Install this if you want Chinese-language structured decision analysis. Be aware that its auto-trigger keywords are broad and may make the agent use the framework in more conversations than intended.

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

High
Category
Not specified by scanner
Confidence
97% confidence
Finding

The trigger list is extremely broad and includes common words like '分析', '如何', and '是否', making the skill likely to activate during ordinary conversation rather than only when explicitly requested. In an agent setting, this can cause prompt injection of the scaffold into unrelated tasks, change response behavior unexpectedly, and interfere with higher-priority safety or task-specific instructions.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
87% confidence
Finding

The description claims the skill is suitable for nearly all decision scenarios without defining clear boundaries, encouraging indiscriminate use. In practice this increases the chance the skill will be applied in contexts where it is irrelevant, conflicts with domain-specific workflows, or amplifies the overbroad auto-trigger behavior.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
83% confidence
Finding

The natural-language description, triggers, examples, and output template are entirely Chinese, and the file does not indicate that users may choose another language or that the Chinese-only behavior is an intentional, justified locale constraint. This can constitute a language/locale policy issue when a skill implicitly forces one language without user opt-in.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The package description in L04 is entirely in Chinese, which indicates a fixed language presentation. For an organizational language/locale policy check, this is a natural-language constraint without any opt-in, alternative locale, or justification that the skill is region-specific.

Content

No source excerpt is available for this finding.