Ai Bug Fixer

• Outcome: Pass
• Latest audit: May 28, 2026, 6:01 AM
• Version:
  1.0.0

Overview

This is a simple bug-fixing helper, but its bundled scripts appear to be canned demos rather than real log analysis or patch generation.

Install only if you want a lightweight illustrative debugging helper. Do not rely on its script output as real analysis unless you verify it yourself; review generated fixes in version control and run tests before applying anything.

SkillSpector

By NVIDIA

Vulnerability Patterns

• Trigger Abuse: Overly Broad Trigger, Shadow Command Trigger, Keyword Baiting Trigger
• MCP Tool Poisoning: Hidden Instructions, Unicode Deception, Parameter Description Injection
• 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

Findings (4)

Description-Behavior Mismatch

Medium

• Confidence: 96% confidence
• Finding: The function is presented as a log analyzer but never parses or inspects the supplied log input, instead returning fixed mock data. In a bug-fixing skill, this can mislead users into trusting fabricated diagnostics, causing incorrect remediation decisions and masking real operational or security issues in logs.

Description-Behavior Mismatch

Medium

• Confidence: 97% confidence
• Finding: The function is presented as a patch generator that should derive a diff from the provided buggy and fixed inputs, but it always returns the same hard-coded patch. In a bug-fixing skill, this is dangerous because downstream users or agents may trust the output as a real remediation artifact, leading to incorrect fixes, failed deployments, or silent corruption of engineering workflows.

Intent-Code Divergence

Medium

• Confidence: 96% confidence
• Finding: The docstring and function name claim to generate a patch, but the implementation ignores the caller-controlled data and emits a canned example diff. This mismatch is a security-relevant integrity issue because other components may consume the artifact as if it were genuine, causing unsafe automated patching decisions in a skill explicitly intended to diagnose and fix bugs.

Vague Triggers

Medium

• Confidence: 82% confidence
• Finding: The trigger conditions are broad ('when the user needs' diagnosis, fixes, exception advice, regression tests, or patches), which can cause the skill to activate in many code-related contexts without clear boundaries. In an agent setting, overbroad activation increases the chance of the skill receiving sensitive source code, logs, stack traces, or making changes when a narrower tool should have been used.

VirusTotal

VirusTotal findings are pending for this skill version.