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Security audit

Root Cause Hunter

Security checks for vulnerabilities and agentic risk

Overview

This is a Chinese debugging workflow skill with disclosed local note-writing guidance and no hidden code, network retrieval, or installer behavior.

Install this if you want a strict Chinese-language root-cause debugging workflow. Before use, be aware that it may encourage rollback validation and creation of local memory/debug_log.md and memory/lessons.md files; keep control over any actual code reverts or documentation updates.

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
92% confidence
Finding

The trigger phrases are broad enough to match common debugging requests like '诊断' or '帮我分析原因', so the skill may activate in many ordinary conversations without clear user intent to invoke this specific workflow. That can cause unintended behavior override, such as forcing a rigid process, rollback guidance, or file-writing steps in contexts where they are inappropriate or unsafe.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The description, instructions, and example dialogue are entirely in Chinese and present the workflow as mandatory, but the file does not indicate that Chinese is optional or that the skill is region-specific. This creates a language/locale policy concern because it implicitly constrains interaction language without user opt-in.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The description embeds very broad trigger phrases such as '诊断', '帮我调试', and '排查问题', which are common in ordinary support conversations and can cause the skill to activate outside narrowly intended contexts. Over-broad activation increases the chance of unintended workflow hijacking, where the assistant is pushed into this skill’s rigid process even when the user did not explicitly request it.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
88% confidence
Finding

The natural-language description is written to require operation in Chinese and does not offer any language or locale choice to the user. This can violate language or locale policy where skills must not force a specific language without explicit user opt-in or documented justification.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.