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Security audit

Prompt Optimizer

Security checks for vulnerabilities and agentic risk

Overview

This is a lightweight prompt-optimization guide with external service references but no bundled code, persistence, or hidden actions.

Before installing, understand that the skill may direct your agent to use an external prompt optimizer API or web app, so avoid sending secrets or private prompt content unless you trust that service. Also note the AGPL-3.0 license obligations if you modify or redistribute 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 (2)

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
94% confidence
Finding

The activation guidance is broad enough to trigger on generic user questions about prompts or prompt engineering, which can cause the skill to activate unintentionally outside a clearly scoped context. In an agent environment, overbroad activation increases the chance of tool overreach, irrelevant behavior, or accidental reliance on external skill behavior when a normal conversational response would be safer and more appropriate.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
80% confidence
Finding

The file includes a Chinese sentence while the rest of the skill documentation is in English, with no indication that language selection is user-driven or optional. This can create a language/locale policy concern because the skill content implicitly forces a language choice for part of the documentation.

Content

No source excerpt is available for this finding.

Static analysis

No suspicious patterns detected.