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Security audit

LLM Inference Radar

Security checks for vulnerabilities and agentic risk

Overview

This skill is a disclosed research briefing workflow for LLM inference acceleration, with no artifact-backed evidence of hidden execution, credential access, exfiltration, or destructive behavior.

Install this if you want a Chinese-first LLM inference acceleration research radar. Specify your preferred output language and confirm before allowing persistent knowledge-base updates if you do not want the skill to record durable research preferences or feedback.

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
  • Prompt InjectionInstruction Override, Hidden Instructions, Exfiltration Commands
  • Trigger AbuseOverly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
  • 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 (3)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The description says to use the skill for broad requests such as "daily or weekly briefs," "paper radar," "open-source watch," and "maintaining a research radar," which can overlap with many general research or summarization tasks. It does not provide exclusion conditions or negative examples to clarify when this skill should not activate, increasing the risk of unintended invocation.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
98% confidence
Finding

The instruction "Default to Chinese output" imposes a language choice without indicating user consent or offering a language option. This is a natural-language locale policy concern because it may override the user's preferred language by default.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Medium
Category
Not specified by scanner
Confidence
97% confidence
Finding

The workflow says to "generate a Chinese brief" by default unless the user specifies otherwise, which again enforces a language default without affirmative opt-in. This creates a policy issue because the skill should offer language choice rather than silently selecting a locale.

Content

No source excerpt is available for this finding.