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Security audit

Error Message Improver

Security checks for vulnerabilities and agentic risk

Overview

This skill is a plain documentation workflow for improving error messages, with no executable code or hidden privileged behavior.

Install this if you want a lightweight helper for making error messages clearer. Be aware it may activate on broad support or debugging phrasing, so explicitly invoke a more specific skill when your task is not about error-message wording or troubleshooting guidance.

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 (10)

Vague Triggers

High
Category
Not specified by scanner
Confidence
98% confidence
Finding

The trigger text is extremely broad and overlaps with ordinary user phrasing, which can cause the skill to activate in situations far beyond its intended scope. In an agent environment, overly generic activation conditions can misroute unrelated requests into this skill, leading to prompt-scope confusion, degraded handling, and increased exposure to adversarial or irrelevant inputs.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger phrases are broad enough to match ordinary support or debugging requests, which can cause the skill to activate when the user did not explicitly intend to use it. In an agent ecosystem, this creates a routing and prompt-scope risk: the skill may capture general conversations and influence outputs more often than expected, increasing the chance of unintended behavior or abuse by indirect invocation.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger phrases are broad enough to match common support and productivity requests, which increases the chance the skill is invoked when the user did not explicitly intend to use it. In an agent environment, unintended invocation can misroute user input, cause incorrect workflow selection, and amplify the influence of a skill on unrelated tasks.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The skill description is very broad and includes generic categories like work-productivity, debugging, support, and user feedback without strong scope boundaries. This can cause the skill to activate for loosely related requests, increasing the chance of inappropriate routing, prompt interference, or the skill being applied in contexts it was not designed to handle.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
96% confidence
Finding

The trigger keywords are short, generic, and high-frequency terms that commonly appear in many unrelated conversations. This raises the risk of accidental invocation, which can misroute tasks, introduce irrelevant instructions into the agent workflow, and create opportunities for prompt-scope confusion.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill description says to use it for broad categories like work-productivity, debugging, user feedback, and support without defining clear boundaries or exclusion criteria. That can cause the agent to invoke this skill in many unrelated contexts, leading to inappropriate handling of user requests, skill overshadowing, and reduced reliability of routing or downstream safety controls.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
95% confidence
Finding

The trigger keywords include very generic terms such as debugging, support, troubleshooting, and user feedback, which are common across many unrelated tasks. Overly generic triggers increase accidental activation and can make this skill capture requests better handled by more specific skills, creating confusion, misrouting, and possible bypass of intended workflow specialization.

Content

No source excerpt is available for this finding.

Vague Triggers

Medium
Category
Not specified by scanner
Confidence
93% confidence
Finding

The skill enables implicit invocation while providing a very broad activation description tied to common themes like productivity, debugging, support, and analysis. This increases the chance the agent will invoke the skill in situations the user did not clearly intend, potentially causing unintended prompt routing, over-collection of user context, or inappropriate influence over responses.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
80% confidence
Finding

The README lists separate English and Chinese instruction and guide files, but it does not state how the user's language preference is selected or whether the user can opt in to a locale. Because locale handling is described in natural language and no choice mechanism is documented here, this may conflict with language/locale policy expectations.

Content

No source excerpt is available for this finding.

Natural-Language Policy Violations

Low
Category
Not specified by scanner
Confidence
84% confidence
Finding

This is a Chinese-language README, but the activation examples are presented only in English and effectively prescribe English phrasing for use. That can constitute a language/locale policy issue because the file does not offer a Chinese alternative or explain why English-only triggers are required.

Content

No source excerpt is available for this finding.