Security audit

Decision Framework

Security checks for vulnerabilities and agentic risk

Overview

This is a coherent decision-analysis helper with a limited local scoring script and no evidence of hidden access, persistence, or data exfiltration.

Install this if you want Chinese-language decision-framework guidance. Treat investment, legal, medical, career, or other high-stakes outputs as structured thinking aids rather than professional advice, and review any markdown before saving or sharing it.

A.I.G

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

SkillSpector

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 (6)

Vague Triggers

Medium

Confidence: 95% confidence
Finding: The trigger description is broad enough to activate on generic requests like '帮我分析' or general choice/analysis language, which can cause the skill to be invoked outside its intended scope. Over-broad routing increases the chance of prompt hijacking, user-intent misclassification, or inappropriate structured guidance being applied to sensitive contexts without sufficient safeguards.

Natural-Language Policy Violations

Medium

Confidence: 96% confidence
Finding: This markdown file presents all instructional content in Chinese and does not provide an opt-in, alternative language, or justification for a Chinese-only locale. Under the policy for natural-language violations, forcing a specific language without user choice should be flagged unless clearly documented as region-specific.

Natural-Language Policy Violations

Medium

Confidence: 96% confidence
Finding: The file’s title, examples, and generated output strings are written in Chinese, and the script prints Chinese-only headings and rankings. This imposes a specific language on users without any opt-in, which matches the language/locale policy-violation category.

Natural-Language Policy Violations

Medium

Confidence: 98% confidence
Finding: The ranking header and score text (for example, '排名' and '分') as well as the final result heading are emitted only in Chinese. Because the script does not provide any language selection or opt-in, it forces a locale choice in a way the policy forbids.

Natural-Language Policy Violations

Low

Confidence: 76% confidence
Finding: The description is primarily in Chinese but also embeds English trigger and usage text, while the document overall does not state that the user can choose their preferred language. This can create an implicit language/locale expectation rather than offering a clear language choice.

Natural-Language Policy Violations

Low

Confidence: 91% confidence
Finding: This markdown file contains user-facing instructional content only in Chinese, including headings, examples, and template text. Under the language/locale policy rule, forcing a specific language without user opt-in can be a natural-language policy violation when no alternative or opt-in is provided.

Static analysis

No suspicious patterns detected.