Error Message Improver

• Outcome: Pass
• Latest audit: Jul 24, 2026 · 6:08 PM UTC
• Version: 0.1.0

Overview

This is a documentation-only skill for improving error-message guidance, with no evidence of hidden execution, credential access, persistence, or data exfiltration.

Installers should understand that this skill may activate for broad support, debugging, or troubleshooting phrasing. It appears safe from a security perspective, but users who want precise routing may prefer narrower trigger language or explicit invocation only.

SkillSpector

By NVIDIA

Vulnerability Patterns

• Trigger Abuse: Overly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
• Prompt Injection: Instruction Override, Hidden Instructions, Exfiltration Commands
• Data Exfiltration: External Transmission, Env Variable Harvesting, File System Enumeration
• Privilege Escalation: Excessive Permissions, Sudo/Root Execution, Credential Access
• Supply Chain: Unpinned Dependencies, External Script Fetching, Obfuscated Code

Findings (11)

Vague Triggers

Medium

• Confidence: 93% confidence
• Finding: The trigger sentence is written as a broad natural-language request that resembles ordinary user phrasing rather than a narrowly scoped invocation. This can cause the skill to activate unintentionally during unrelated conversations about error messages or support workflows, leading to unexpected instruction injection into the agent’s behavior.

Vague Triggers

Medium

• Confidence: 90% confidence
• Finding: The activation guidance does not clearly define when the skill should and should not run, and the listed keywords cover broad day-to-day support and debugging topics. In an agent environment, ambiguous trigger scope increases the chance of accidental invocation, which can override the agent’s normal routing and apply the skill in contexts the user did not intend.

Vague Triggers

Medium

• Confidence: 91% confidence
• Finding: The trigger phrases are so generic that normal user requests about debugging, support, or productivity could invoke this skill unintentionally. That increases the chance of inappropriate routing, context confusion, and over-broad activation of the skill in situations where the user did not explicitly ask for it.

Vague Triggers

Medium

• Confidence: 92% confidence
• Finding: The trigger list is overly broad and uses generic terms like 'support', 'debugging', and 'work-productivity', which can cause the skill to activate for many unrelated requests. Overbroad activation increases the chance that this skill intercepts prompts outside its intended scope, leading to irrelevant guidance, misrouting, or prompt-surface expansion in multi-skill agent systems.

Vague Triggers

Medium

• Confidence: 95% confidence
• Finding: The description instructs use for a wide range of request types, including broad categories like user feedback, support, work-productivity, and implementation support, without strong boundaries. In an agent environment, this ambiguity can cause unintended invocation and over-collection of context, which increases the risk of task confusion, unnecessary data exposure, or inappropriate responses outside the skill's specialty.

Vague Triggers

Medium

• Confidence: 88% confidence
• Finding: The trigger keywords are broad, common troubleshooting terms that can easily appear in ordinary user requests. This can cause the skill to activate when the user did not explicitly intend to invoke it, leading to prompt-routing confusion, overbroad context capture, or inappropriate workflow injection into unrelated conversations.

Vague Triggers

Medium

• Confidence: 90% confidence
• Finding: The example trigger phrases use highly generic activation language such as 'Help me' and 'I need a practical workflow,' which overlaps heavily with normal user conversation. In systems that infer skill activation from examples, this increases the chance of accidental invocation and unintended behavior steering, especially because the skill is broadly applicable to many support and productivity scenarios.

Vague Triggers

Medium

• Confidence: 86% confidence
• Finding: The default prompt trigger is phrased so broadly that it can overlap with ordinary user requests about productivity, debugging, support, or error messages, increasing the chance of unintended skill activation. In an implicitly invocable agent system, this can cause the skill to run without clear user intent, which may inject hidden instructions or alter workflows unexpectedly.

Vague Triggers

Medium

• Confidence: 93% confidence
• Finding: Enabling implicit invocation without meaningful constraints allows the platform to auto-select this skill based on vague semantic matches rather than explicit consent. Combined with the broad skill purpose, this raises the risk of accidental routing, prompt-scope expansion, and unintended application of the skill in contexts where it was not requested.

Vague Triggers

High

• Confidence: 94% confidence
• Finding: The trigger sentence is written in very broad, natural language that could match ordinary user requests unrelated to a deliberate skill invocation. In an agent environment, this can cause accidental activation and prompt-routing mistakes, leading the skill to intervene in contexts where it was not intended and potentially override more appropriate workflows or safeguards.

Vague Triggers

Medium

• Confidence: 91% confidence
• Finding: The invocation guidance does not define tight activation boundaries, so the skill may be selected for vague requests about productivity, support, debugging, or feedback. This ambiguity increases the chance of overbroad routing, where the agent applies the skill in unsuitable situations and exposes users to irrelevant or misleading automation behavior.

VirusTotal

64/64 vendors flagged this skill as clean.

Static analysis

No suspicious patterns detected.